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McKinsey Problem Solving Game (Solve): Full Game Reveal

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FULL TRANSCRIPT

0:00

Welcome to our making the S game

0:01

simulation walkr in this video we'll

0:04

show you something that's never been

0:05

done before also the complete assessment

0:08

covering ecosystem creation Red Rock

0:10

study and plan defense games that our

0:13

prep matter team has created I highly

0:15

encourage you to solve the game along

0:17

with me so you can experience the game

0:19

firsthand also make sure to visit our

0:22

website prep matter to get access to

0:24

this interactive simulation this would

0:26

be your best resource for scoring well

0:28

in this assessment and it is almost half

0:30

the price of our only competitor

0:32

offering a comparable interactive game I

0:35

should mention that we created many

0:36

different scenarios and possible answers

0:38

for each of those three games so you can

0:41

play our simulation game after watching

0:43

this video as well while this video is

0:45

solely about the complete Game walkth

0:47

through if you're interested in learning

0:49

in detail about the features of each

0:50

game as well as our tips and tricks to

0:53

assess this assessment watch our other

0:55

video too let's begin

1:02

before we start if it's your first time

1:04

hearing about us prep met provides n2n

1:07

support to secure your Consulting

1:08

interview and get the offer you can

1:10

check our website if you'd like to

1:12

access to more content for building your

1:14

resume acing online assessments as well

1:17

as case and fit interviews we also

1:19

provide one-on-one coaching to elevate

1:21

your performance also feel free to add

1:23

me on LinkedIn I'm always eager to

1:25

connect with aspiring consultants and

1:27

will be very happy to answer your

1:28

questions in in this video I'll cover

1:31

the ecosystem creation game first

1:33

followed by the Red Rock study this will

1:35

be the best representation of making

1:37

Soul game towards the end we'll also go

1:39

over plant defense even though this game

1:42

was recently replaced by Redrock study

1:44

let's play it safe in case maky decides

1:46

to introduce this game all right let's

1:48

begin prep matter simulation I'll choose

1:51

ecosystem cor Reef in task one as we

1:54

start the game we first have the

1:56

introduction let's read it as the island

1:58

Steward over seeing numerous species

2:01

across diverse ecosystems you're now in

2:03

charge of expanding a sustainable

2:05

habitat in The corter Reef your goal is

2:08

to establish a new habitat within the

2:10

existing region of the island fostering

2:12

eight species that can Thrive and form a

2:15

balanced food web rely on the guide book

2:17

and monitors to select species that

2:20

contribute to a stable ecosystem with

2:22

time pause let's get familiar with the

2:24

instructions our objectives are to

2:26

select eight species that will survive

2:28

as an ecosystem

2:30

choose the location of the ecosystem and

2:32

submit it on the right we have our

2:35

monitor indicators and at the bottom we

2:37

have the guide book species and location

2:40

selection let's review the task rules

2:43

and available species in the guide

2:46

book on the left I can see the species

2:49

and their requirements you can click add

2:52

to add them to our species selection

2:54

list and we can see the eating rules on

2:56

the right it's a bit complicated so

2:59

let's read them to make make sure that

3:00

we are clear the species with the

3:02

highest calories provided eats first it

3:05

consumes its food source with the

3:07

highest calories provided in case of a

3:10

tie it eats equally from both species

3:13

when a full source is eaten its calories

3:15

provided decrease permanently by an

3:17

amount equal to the eating species

3:19

calories needed if the eating species

3:22

needs more calories it eats another food

3:24

source based on cured calories provided

3:28

then species with the next highest

3:29

current calories provided eat species

3:32

that end with their calories needed

3:34

fully met and more than zero calories

3:36

provide a survive I know it's a bit

3:38

complicated but as we start solving it

3:40

it will make a lot of sense all right

3:42

everything is clear to me let's begin

3:45

I'd like to pick the location first to

3:48

do this we should first identify which

3:50

four monitors are relevant for that

3:53

let's refer to the species

3:55

card I see depth range temperature range

4:00

water current range and salt content

4:03

range now I'll hover around and pick a

4:07

point you can always change it if

4:11

needed in ecosystem creation games all

4:14

producers and animals typically inhabit

4:17

three different dep ranges since I chose

4:19

a value about 100 m I should be already

4:23

eliminating 2/3 of the entire producers

4:26

and animals let's start with the

4:28

producers I'll take the ones who can

4:30

live in the death range of 100 and above

4:33

these species are red

4:36

moss C

4:40

fan and sea

4:43

lettuce now let's move to the

4:46

animals to make my life easier I'll open

4:49

the cards of each animal one by one and

4:52

leave the ones open who can survive in

4:54

My Chosen death range for the sake of

4:56

this video though I'll keep this section

4:58

brief and only mention the species that

5:01

can survive in our chosen death range

5:03

all right blue jellfish can survive in

5:06

our death range let's keep this

5:08

open glass squid works great great white

5:12

sharken green cotal can survive as

5:16

well lantern fish and loggerhead sea

5:20

turtle can inhabit our death range seor

5:24

chin

5:26

shrimp and Spade fish can inhabit our

5:30

death range let's keep the cars open and

5:33

lastly swordfish can survive in our

5:35

chosen death range let me

5:38

count all

5:41

right so we are left with 10 animals

5:45

that can live in the death range there

5:47

are three other requirements too

5:49

temperature water current and salt

5:51

content ranges I'll check at the end if

5:54

all species requirements are fully met

5:56

as well now we need to pick five animals

5:59

out of those 10 let me write down the

6:02

producers on my paper

6:04

first I'll put my Legend on the top

6:06

right writing the species

6:12

name and in Brackets calories

6:15

provided and then calories

6:19

needed red moss provides 3,000

6:24

calories and requires

6:28

done

6:30

cfan

6:32

offers

6:34

3,500 calories and also requiring

6:39

none and C letter

6:42

is much like red moss provides 3,000

6:47

calories and requires none great I have

6:50

it all

6:51

written now we must select an animal

6:54

that consumes these producers let's

6:57

review the list

7:00

Blue Jellyfish consume both red moss and

7:04

sea

7:06

Letts while green sea turtles feed on

7:09

one producer but also prey on other

7:15

animals similarly loggerhead sea turtles

7:18

feed on one producer and other animals

7:21

as

7:23

well SE or chins consume two

7:28

producers sh shrimp also feed on to

7:33

producers Spade fish eat sea fan alone

7:38

and

7:39

swordfish they don't Feit on any of our

7:43

producers I'll not down only those that

7:45

feed on one or two producers exclusively

7:49

to keep complexity to a minimum starting

7:52

with the Blue

7:55

Jellyfish they provide 4,500 calories

8:01

and need

8:03

3,000 they'll feed on red moss and C

8:07

lettus now let's illustrate it with

8:13

arrows next we consider

8:19

seurin

8:22

2,100 calories

8:24

provided with a need of

8:27

3,000 feasting on c fan and C lettuce so

8:32

C fan and C

8:35

lettuce then comes

8:38

shrimp offering

8:41

2,750 calories and they need

8:47

1,450 feing on sea

8:52

lettuce and lastly let's look at Spade

8:57

fish Spade fish provide by 2,100

9:01

calories and they need

9:04

2,400 and they only consume Caan

9:10

okay before introducing another animal

9:13

we should ensure our ecosystem is

9:15

balanced the Blue Jellyfish with the

9:18

highest calorie provision will consume

9:21

red moss and cettus equally leaving each

9:26

with 1,500 calories

9:31

next the shrimp will also feed on red

9:33

moss and cettus equally

9:36

taking

9:38

725 from each which leaves both with

9:45

775 calories however since sea urchin

9:49

and Spade fish both offer the same

9:52

calories they'll split their food source

9:56

given Sean's higher calor provision

9:59

they'll consume it equally unfortunately

10:01

this exhaust C entirely which is not

10:05

sustainable so we may have to remove

10:07

Spade fish from our

10:12

ecosystem this leaves sea urchin

10:16

consuming 3,000 calories from Caan

10:20

leaving Caan with a remaining 500

10:24

calories a sustainable scenario we now

10:27

have three producers and three animals

10:30

necessitating the addition of two more

10:32

animals to our

10:34

ecosystem let's consider our existing

10:37

animals and determine which Predators

10:39

feed on them continuing to build our

10:41

food pyramid Blue Jellyfish let's look

10:44

into

10:45

that Blue Jellyfish are prayed upon one

10:49

animal let's go to

10:51

shrimp they serve us food for three

10:56

animals let's look at sea orchin

11:00

they are consumed by two to simplify

11:03

we'll choose an animal that PRS on Blue

11:06

Jellyfish and that is the loggerhead sea

11:11

turtle let's write it

11:13

down logger head SE total they provide

11:18

4,400 calories and they need

11:23

4350 they have multiple potential food

11:25

sources but they'll Target blue jellfish

11:28

first because of the higher calorie

11:29

count the jell fishes 4,500 calories

11:34

fully

11:35

satisfy the SE Turtles needs leaving a

11:38

surplus of 150 calories

11:42

excellent we now need one final animal

11:45

let's see who feeds on loggerhead sea

11:48

turtle it's a great white shark well add

11:51

us to our documentation let's write it

11:55

down great white shark has a calorie

11:58

provision of

12:01

6,000 and they need

12:04

4,250 calories feeding on the lger head

12:07

sea turtle which offers more calories

12:09

than the shark needs it's great this

12:12

confirms our food web is sustainable all

12:15

right now that we've selected our

12:16

species as I promised I need to just

12:18

quickly make sure that all the species

12:21

we've selected can survive in this

12:22

particular location we are sure about

12:25

the death range I'm just going to

12:27

quickly check if they can also survive

12:29

within the temperature water current and

12:32

salt content ranges so let's just do a

12:34

quick run let's start with the

12:36

temperature first let's go through all

12:39

the species that we've

12:41

selected and compare it with the

12:43

location that we've selected as

12:45

well

12:48

okay all right there doesn't seem to be

12:51

any huge problem they can all live

12:53

within this temperature range uh let's

12:55

just do quickly with the water current

12:57

as well now I'm just going to quick go

12:59

through our species that we've selected

13:02

making sure that they are also within

13:03

that water current I'm pretty sure they

13:07

are

13:09

okay fine there's no problem with it too

13:11

great lastly salt content I also don't

13:14

think there is going to be any problem

13:15

but it's always good to be

13:22

safe fantastic yeah I don't see any

13:25

problem here I think we're pretty much

13:26

done let's finalize our assessment by by

13:29

clicking complete task let's check our

13:34

results all right all our species can

13:37

survive fantastic great job let's switch

13:39

gears to the Red Rock study in this

13:41

segment I'll tackle one of the men

13:43

scenarios available on our interactive

13:45

course we'll start by walking through

13:47

the introduction together welcome to

13:49

Redrock Island as a new research

13:51

assistant your responsibility will be to

13:53

utilize data gathered in the field to

13:55

contribute to various studies and cases

13:57

here at Redrock labs

13:59

our approach to studies is structured in

14:02

a three-stage system investigation

14:05

analysis and Report during the

14:07

investigation phase we'll Swift through

14:10

collected observations and pinpoint the

14:12

most pertinent data points moving on to

14:15

the analysis stage we will scrutinize

14:17

the data and execute calculations based

14:20

on the studies questions we can trag any

14:23

movable data point into the research

14:25

journal for later use the research

14:27

Journal is our tool to review reorder

14:31

highlight and label collected data

14:33

points let's hit

14:35

continue in the report stage we'll craft

14:38

and submit written and visual reports

14:41

grounded in our analysis remember we can

14:44

navigate back to the information from

14:46

the investigation stage if you're in the

14:48

analysis stage after tackling the study

14:51

we will encounter cases these are

14:53

concise questions exploring various

14:55

research topics information from cases

14:58

is the distinct from the studies and

15:00

other cases all right with that

15:03

framework in mind let's dive in the

15:06

study investigates the ecosystem in Nils

15:08

which is one of the largest mountain

15:10

ranges in the Ops as we covered before

15:13

we need to drag some information to the

15:15

research Journal that we think we need

15:17

to use later in the case Okay the

15:20

objective is to analyze the changes in

15:22

the different ecosystems variables such

15:25

as snowfall Glacier area and the number

15:28

of species in Nils let's track this

15:31

already and read the study

15:34

information Nils is a mountain range

15:37

based in Northern Italy they have a high

15:39

series of mountains ranging from an

15:41

altitude of 2,000 M to 4,200 m in this

15:46

area there are plenty of lakes though

15:48

Nils host the highest number of lakes in

15:51

the Alps the number of lakes it has has

15:53

decreased significantly over the past

15:56

years it has 19 Lakes down from 23 10

16:00

years ago and from 25 20 years ago on

16:05

top of the great laks the area has one

16:07

of the largest glaciers in the world the

16:09

glaciers cover an area of 150 square

16:12

kilm this figure is also down from 170

16:15

square kilm 10 years ago wildlife in

16:18

Nils is also quite diverse compared to

16:21

the neighboring areas there are 283

16:24

species including 97 animals and 186 PL

16:29

plants these numbers are also down from

16:31

the previous decades as Wildlife remains

16:34

in danger with the increasing impact of

16:36

climate change in addition to these

16:38

natural characteristics the facilities

16:41

in ntil area have grown with a

16:43

tremendous Pace in the past decades

16:46

currently the region hauls 47 hotels 16

16:49

climbing camps and three tea houses on

16:51

the mountains all right it was a longw

16:53

written context let's examine the

16:55

exhibits the first exhibit presents

16:58

average snowfall statistics by month

17:01

with orange bars indicating average

17:03

snowfall in inches and a blue line

17:06

representing the number of snowfall days

17:08

per month both metrics hit their peak in

17:11

January and February as

17:14

expected the second exhibit illustrates

17:17

average snow death by month where the

17:19

orange area indicates the average base

17:22

death and the combined orange and green

17:25

areas reflect the average Summit dep in

17:27

inches peing around March

17:31

interesting before we progress to the

17:33

analysis phase it's crucial we transfer

17:35

the necessary information to the

17:37

research Journal while it is possible to

17:39

revisit the investigation phase during

17:41

analysis it could result in penalties

17:44

given our goal to analyze snowfall

17:46

Glacier area and species number I'll

17:49

play it safe and drag over any data

17:51

point related to these

17:53

aspects we'll skip the out to the data

17:56

as it seems unrelated

17:59

now regarding the number of legs and

18:02

their Trends it seems wise to drag all

18:05

five data points 19 legs 23 legs 10

18:10

years 25 legs and 20

18:17

years following this we have data on

18:20

glaciers let's secure all of it

18:25

150 and 170 square kilm

18:29

plus the 10year

18:31

marker next up we encounter species data

18:34

which could be useful let's select 283

18:38

species 97 animals and 186

18:43

plants the final paragraphs details on

18:46

infrastructure don't pertain to snowfall

18:49

Glacier areas or species so we'll lit

18:52

these data

18:53

points in terms of the exhibits I

18:55

suggest we drag pretty much all the data

18:57

points to be thoro to keep things

18:59

organized let's first move the average

19:02

snowfall data points it's going to take

19:04

me some time to drag it so let's do that

19:06

now but in the meantime I must say that

19:09

unfortunately you have to do these kind

19:11

of things because you can go back

19:14

earlier but then once you're in the

19:16

report phase you really cannot so it's

19:18

better to be

19:19

safe all right I'm pretty much done with

19:22

dragging all data points all

19:25

right although there are numerous data

19:27

points on the right each comes with a

19:30

title and we can always click on the

19:32

data point to get more

19:35

information It's relatively

19:37

straightforward I won't rename any data

19:39

points or mark them as important for now

19:42

but if you feel the need you can always

19:43

to do so for

19:45

clarity now let's advance to the

19:48

analysis stage here we'll respond to

19:51

questions using the information from the

19:53

investigation section the calculator

19:56

will be a handle tool for some of these

19:57

calculations here's the first question

20:00

what is the difference in the number of

20:02

snowfall days between the month

20:04

receiving the highest average snowfall

20:06

and the lowest average snowfall between

20:08

November and may we need to First find

20:11

the number of snowfall days in the month

20:14

receiving the highest ever snowfall

20:17

let's refer to our research Journal I

20:19

remember we drag some data points from

20:21

the exhibits

20:25

earlier let's find which month has the

20:27

highest average snowf

20:30

it is February with 11 days of snowfall

20:35

now let's determine the month with the

20:37

lowest number of snowfall days

20:41

again all right it appears to be

20:46

May with no snowfall days recorded

20:50

therefore the difference is 11 days

20:53

we'll document this in the research

20:54

journal for future

20:57

reference let's move to to the second

20:59

question how much higher in percentages

21:02

is the difference between the highest

21:05

and the lowest average snow death values

21:07

for the summit compared to that of the

21:10

base between December and April first we

21:15

need to calculate the difference in snow

21:17

death at the summit let's consult our

21:19

research journal to identify the month

21:22

with the deepest snow at the

21:26

summit all right I'm still

21:31

looking great March is the

21:34

peak with 47

21:37

Ines considering our time frame from

21:40

December to

21:41

April let's take a

21:43

look

21:45

December has the shallowest snow with 10

21:49

in resulting in a 37 in

21:53

difference now let's examine the base

21:55

sow that values we'll find the highest

22:01

first all

22:05

right April has the highest base depth

22:09

at 35 in and for the lowest let's take a

22:13

look at it

22:17

again it's December again with 8 in

22:21

making a 27 in difference since we need

22:26

to calculate how much higher the summit

22:28

difference is compared to the base will

22:32

subtract 27 from 37

22:36

in and divide the results by 27 in to

22:41

get the percentage so let's use the

22:48

calculator it comes out to

22:52

37% our third question is what are the

22:55

percentage reductions in the number of

22:57

legs and glaz coverage areas in the ntil

23:01

region over the past 10 years I

23:04

understand we have two sub questions to

23:05

address let's begin with the first one

23:08

the percentage decrease in the number of

23:10

lakes over the past 10 years we'll refer

23:13

back to our research Journal where we

23:15

previously noted relevant data

23:22

points all right there were 23 Lakes a

23:27

decade ago

23:29

let's look at the current one now there

23:31

are only

23:33

19 to calculate the percentage change

23:36

we'll take 23 -

23:38

19 and divide by

23:41

23 let's use a

23:44

calculator that gives us a decrease of

23:48

177%

23:49

excellent now for the second sub

23:52

question the percentage decrease in the

23:54

glacier coverage Consulting the research

23:57

Journal once more we see that the

23:59

glacier area was 170 square kilm 10

24:03

years ago but it is not reduced to 150

24:06

to find a percentage difference we

24:09

subtract 150 from

24:12

170 and divide by

24:17

170 that comes out to about

24:22

12% now I'm prepared for the next

24:25

question what is the month with the

24:27

highest percentage difference between

24:29

the average Summit death and the average

24:31

base

24:32

death and how much is the percentage

24:34

difference in that month great I've got

24:37

the necessary data points previously

24:39

moved to my research Journal let's see

24:42

what we've got if needed we can always

24:44

review the exhibit worst

24:49

case all

24:51

right now I'll work out the percentage

24:53

difference between the average Summit

24:55

death and the average base death for

24:57

each month

24:59

although the calculator shows the

25:00

answers I'll jot them down too on my

25:03

paper to ensure

25:05

accuracy for

25:07

December the summit depth is 10

25:14

in and the base depth

25:17

is 8 in so the difference is

25:24

25% 10 / 8 - 1

25:31

moving to

25:35

January we need to divide

25:40

23

25:42

by

25:44

14 and subtract one let's use the

25:50

calculator we get

25:54

64% for February

25:59

we need to

26:01

divide let's

26:04

see that's 31

26:10

by

26:12

19 minus 1 so let's use a calculator

26:17

again it will be

26:22

63% let's move to the next month March

26:31

we need to divide

26:34

47 by let's check the

26:39

figure

26:42

33 minus 1 it will be 42%

26:48

okay finally we have April we need to

26:51

divide let's check the value

26:59

42

27:04

by

27:06

35 and let's minus

27:09

one

27:11

20% looking over my

27:13

notes generary has the highest

27:16

difference at

27:18

64% perfect we reach the report stage of

27:21

the study this part is not my favorite

27:24

since we cannot revisit previous

27:25

sections if we needed to that's that's

27:28

why I moved as much information as

27:30

possible into research Journal

27:33

earlier I see 10 answer fields that we

27:35

need to complete we'll start by

27:37

identifying the month with the highest

27:40

average snowfall marked by 11 snowfall

27:43

days this was part of the first question

27:45

we answered but we didn't specify the

27:47

month then let's refer to our

27:49

investigation journal to pinpoint the

27:51

correct

27:53

month all right this might take some

27:55

time

28:01

all right the answer

28:04

is

28:06

February with an average of 31 in of

28:10

snowfall the next answer field concerns

28:13

the month with the least average

28:15

snowfall excluding may I recall

28:18

identifying two months with zero

28:20

snowfall days let's review our research

28:23

Journal once more

28:29

indeed it's

28:31

November that recorded the least

28:35

snowfall as noted before this month had

28:39

no snowfall days all right let's move

28:43

on between December and April the

28:47

difference in snow death at the summit

28:49

was measured at what inches I remember

28:52

this was one of the questions we

28:54

answered earlier let's look at our

28:56

Journal

29:01

all right I think I'm getting there yeah

29:04

here we go correct the difference at the

29:06

Summit is 37 in we just calculated it

29:09

now let's determine the difference at

29:11

the base all right it stands at 27

29:15

in for the percentage change we can look

29:18

back at the journal or recalculate it

29:20

I'll use a calculator for

29:22

accuracy subtracting 27

29:26

from 37

29:29

yields 10 dividing 10 by

29:32

27 gives us approximately

29:36

37% yes this matches what we found

29:40

earlier next we need to decide if the

29:42

number of legs and Glacier coverage in

29:45

the ntil region has increased or

29:47

decreased in the past 10 years I

29:50

remember it was decreasing let's select

29:52

that we now need to quantify the

29:55

percentage decrease in the number of

29:57

lakes let's look at the research

30:02

journal the change is

30:07

177% okay I also need to find the same

30:10

for the glacier coverage as well let's

30:14

take a

30:16

look all right the change is

30:20

12% lastly we need to inputs how many

30:22

species the region hosts I remember

30:25

dragging this data point earlier let's

30:27

go over the

30:30

journal great it's

30:34

283 with that I've complete the written

30:37

report and now it is time to select the

30:39

appropriate graph we need to choose a

30:41

chart that effectively illustrates the

30:43

maximum and minimum snowfall amounts and

30:46

the number of snowfall days in Winter

30:48

which are December January and February

30:51

we have three chart options a bar graph

30:53

a line graph or a pie chart the bar

30:57

graph seems most fitting since we have

30:59

two distinct categories snowfall and

31:02

snowfall days and we're comparing the

31:05

extremes I'll enter the values into the

31:08

table

31:09

methodically for the winter months we

31:12

need a minimum and maximum snowfall days

31:15

back to research Journal let's take a

31:17

look at

31:25

it it appears December has a the fewest

31:28

snowfall days at

31:30

8 while both January and February have

31:34

the most at 11 days each let's note

31:38

these

31:40

figures now for the snowfall amounts

31:44

revisiting to

31:48

journal December also had the least

31:51

snowfall at 19

31:54

in and February had the most at 31 in

31:59

we'll record these as well all right now

32:03

our chart is in shape it makes a lot of

32:06

sense but to be safe I'll quickly click

32:09

on the other two chart types making sure

32:11

that they are not suitable for this data

32:13

set looking at the line chart first it

32:16

just looks odd to me lines don't have

32:19

any purpose to them since we are not

32:20

showing tens of different time periods

32:23

let's look at the P graph again it

32:26

doesn't make sense to me we use py

32:28

graphs to show the share of one unit in

32:31

your total portfolio so let's go back

32:34

and choose the bar chart as our answer

32:37

all right we finally finished my least

32:38

favorite part of the game now we're at

32:41

the cases section we no longer need to

32:43

use the research Journal so hopefully it

32:46

will speed things up let's read The

32:48

Prompt of the first case Nils is a

32:51

mountain range in the greater Alps

32:53

region that HS one of the highest number

32:55

of species these species are categorized

32:58

under two buckets animals and plants

33:01

while the breakdown within each category

33:03

can be seen in the table below all right

33:05

let's now read the question if the

33:07

number of flowers were as many as the

33:10

number of trees in Nils how much would

33:12

the number of total species increase in

33:15

percentages to determine the current

33:17

total we add all the numbers in the

33:19

table using the calculator we sum up 11

33:24

21

33:25

39 26

33:28

56 126 and

33:32

101 the totals

33:35

380 now to figure out the increase we

33:38

see there are 126 trees and 56 flowers

33:43

if the flowers match the number of trees

33:45

we would have an additional 126 minus

33:49

56 which is 70 more adding 70 to our

33:54

current total of 380 let's see that

33:59

it gives us 450 let's enter

34:02

this next we calculate the percentage

34:05

increase we divide 450 by 380 and

34:09

substract

34:11

1 this gives us an increase of about 18%

34:15

we'll input this percentage into the

34:17

answer

34:19

field let's read the second

34:22

case climate experts foresee that the

34:24

Meltdown in glaciers will accelerate

34:27

over the next decades while the current

34:29

glaciers cover an area of 150 square km

34:33

it used to cover 170 a decade ago the

34:37

proportion of glaciers that melt will be

34:40

8 percentage points higher over the next

34:42

10 years compared to that in the past

34:44

decade and the question is what is the

34:47

expected Glacier coverage level 10 years

34:49

from now first we need to calculate the

34:51

percentage of Glacier loss over the past

34:54

decade we take the current coverage of

34:56

150 s km and divided by the previous 170

35:00

square

35:04

km and subtracting one we have a loss of

35:08

around

35:10

12% now with the expected increase in Ms

35:13

of 8 percentage points we add us to our

35:16

current loss reaching an estimated 20%

35:19

loss this means that the Glaciers are

35:22

predicted to decrease by an additional

35:23

20% in the next

35:25

decade multiplying

35:28

80% which is the remaining Glacier

35:30

proportion by the current coverage of

35:35

150 gives us 120 square

35:38

kilm we'll choose this option and

35:41

proceed to the next

35:43

case the ministry of environment made a

35:45

new plan to protect the wildlife and

35:47

Nils the plan is composed of three steps

35:50

Banning human activity that would risk

35:52

Wildlife planting additional species to

35:55

Foster diversity in the area capturing

35:58

animals that detate the wildlife the

36:01

chart below shows the expected impact of

36:03

all three steps in the realistic and

36:06

conservative scenarios the impact is

36:08

measured by the number of animal species

36:11

prevented from Extinction the chance of

36:14

realization by each scenario is also

36:16

detailed in the chart below all right we

36:19

have three charts showing exactly that

36:21

the question is approximately how many

36:24

animal species would be saved if the

36:27

realistic scenario is realized for all

36:28

three activities this quite

36:31

straightforward we multiply the

36:33

anticipated number of species saves

36:35

indicated by orange Bars by the

36:38

probability of each measure success and

36:41

add totals by limiting human activities

36:45

we can potentially save eight species at

36:47

a 60% success rate let's put this in the

36:52

calculator that is 4.8 species through

36:56

additional planting we can say five

36:58

species with is 75%

37:01

chance and that equals 3.75 species

37:06

finally by capturing detrimental animals

37:08

we can save for species with an 80%

37:12

likelihood resulting in 3.2 species

37:16

saved adding these figures all

37:20

together we approximate a total of 12

37:23

species saved let's select this as our

37:26

answer

37:28

all right we're now addressing the

37:30

fourth case this case focuses on

37:32

benchmarking best practices for species

37:34

preservation against other mountain

37:36

ranges worldwide including Andes Fuji

37:41

Himalayas and Nils and index ranging

37:44

from 20 to 70 represents the success

37:46

score of these efforts let's read the

37:49

question before the loss of species

37:51

there used to be 106 animal species in

37:54

the highest scoring region and 74 animal

37:57

species in the lowest scoring region

38:00

what is the approximate percentage Point

38:01

difference between the proportions of

38:03

total animal species that were lost in

38:06

the two regions first we need to

38:08

identify the region with the lowest

38:10

score the exhibit indicates it's the

38:14

Himalayas Nepal to find a proportion

38:16

lost we divide the number of species

38:19

lost by the initial count the Himalayas

38:22

lost 17 species out of an initial 7 four

38:28

let's do the

38:31

math this gives us about

38:33

23% we'll keep this figure in mind next

38:37

we calculate for the highest scoring

38:39

region let's look at the exibit it is

38:42

Fuji Japan following a similar approach

38:45

we divide the number of species lost by

38:47

the original count in Fuji 11 out of 106

38:52

species were lost calculating

38:56

this we get approximately

39:00

10% the difference between these two

39:02

proportions is 13% let's move on this

39:06

case examines the effect of climate

39:08

change on the snowfall and snow

39:11

thickness in the ntil region the experts

39:14

for see that as a result of alarming

39:16

speed of climate change the snowfall

39:18

will decrease as a snowfall distribution

39:20

across different months will be

39:22

disrupted over the next decades that

39:24

means the proportion of total snowfall

39:26

received each month would change these

39:29

changes would significantly affect the

39:31

wildlife and the landscape at the Nils

39:34

recent studies show that the drop in the

39:36

total snowfall can be as high as 12%

39:39

while this magnitude can be as high as

39:42

18% in months that are affected the most

39:45

on the other hand results indicate that

39:48

snowfall will occur later than usual in

39:50

the next decades let's look at the

39:53

exhibit we're seeing the expected

39:55

snowfall and a snow death in 20 years

39:58

and the question is the following each 4

40:01

in increase in snowfall causes a 3in

40:04

increase in Summit death and a 2 in

40:06

increase in the base death the following

40:09

month how much would they expect a

40:11

summit death and base death values in

40:13

May if the snowfall in April increased

40:16

by

40:18

25% all right that's a bit complicated

40:20

let's try to solve

40:22

it in April the snowfall is 16 in if it

40:27

increases by 25% the increase in the

40:30

snowfall level in May will be 25% of 16

40:34

so 4

40:36

in we know that 4 in increase in

40:38

snowfall causes a 3-in increase in

40:41

Summit dep hence at the summit the

40:43

expected level will be 5 + 3 Let's do

40:47

over the

40:47

calculator 8 in at the base we know that

40:51

4 in increase causes a 2in increase in

40:54

base depth hence the new level at the

40:57

space will be 2 + 2 4 in after all we

41:00

didn't use the long written information

41:02

at the start of the case let's move to

41:04

the final case the three largest legs in

41:07

the Nils are lagon noo lagota and lagalo

41:12

these legs are hosting the most diverse

41:16

ecosystems in the entire Alps region

41:18

while these leges are the largest leges

41:20

in the region they have shrunk

41:21

significantly over the past years the

41:24

shrinkage has affected the diversity and

41:26

the number of species in in the leges as

41:27

well the change has been observed across

41:30

two areas decreasing the number of

41:32

species some of the species have become

41:34

extinct and some others have been moved

41:36

to another area by government agencies

41:39

to be protected from Extinction

41:41

decreasing the number of animals by

41:45

species the number of animals also

41:47

decreased significantly across all kinds

41:49

of species there's also a table showing

41:52

the change in Four Lakes over the past

41:54

decade let's read the question the table

41:56

below shows the expected change in the

41:58

ecosystem within the next 10 years which

42:01

chart below visualizes best the

42:03

information in the table below we need

42:06

to choose a waterfall scatter plot or a

42:09

very wide graph we're now looking at a

42:11

table with three to four segments

42:13

representing different ecosystems and

42:15

three indicators for each this setup

42:17

calls for a clear visual representation

42:19

in this scenario a scatter plot seems to

42:22

be the best choice let's input the

42:24

values and see how the table shapes up

42:30

all

42:33

right here we

42:36

go this table is quite comprehensible

42:39

effectively showing the three indicators

42:41

across all four ecosystems let's compare

42:44

this with the waterfall chart once I

42:47

look at it doesn't seem to provide a

42:48

clear breakdown of the three indicators

42:51

let's move to the varii Chart it also

42:54

falls short in clearly displaying all

42:55

the necessary information so so the

42:57

scatter plot is going to be our best bet

43:00

with that we wrapped up the Red Rock

43:03

game at the end of pratter simulation

43:05

you get a summary of your performance

43:07

let's see how I did the analysis for

43:10

part one looks good the report for part

43:14

one is also solid and all the questions

43:18

in part two are correct there's an

43:20

option to review submitted answers to go

43:23

through the entire assessments and

43:25

pinpoint any mistakes if You' like you

43:27

can also download the answer sheet for a

43:28

detailed explanation of each

43:31

question now let's dive into one of the

43:34

plan defense scenarios this will give

43:36

you a grasp of the key game Dynamics and

43:38

some tips to excel it's important to

43:41

note that at present plan defense has

43:43

been replaced by the Red Rock study so

43:45

I'll only demonstrate one of the three

43:47

plan defense games once you access prep

43:50

meta Soul simulation you can practice

43:52

all three games and since our software

43:55

generates each game randomly you'll

43:57

always encounter different maps and

43:59

variable sets allowing for extensive

44:02

practice I personally had a lot of fun

44:04

playing plan defense games all right

44:07

let's begin similar to the other games

44:10

we see a set of instructions at the

44:11

start our goal is to keep the Invaders

44:14

away from the native plant as long as

44:16

possible the objective is displate on

44:19

the top right and the guide book on the

44:21

bottom left we can use different actions

44:24

like terrain transformation and defend

44:27

as defense mechanisms once our plan is

44:30

complete we need to click run plan and

44:33

start

44:34

implementing we can easily track our

44:36

plan actions and we can edit our actions

44:38

that haven't been implemented yet as

44:40

well all

44:42

clear Invaders appear regularly the

44:45

number associated with an Invader

44:47

indicates its population size and we can

44:50

see the pl we're protecting in the

44:52

middle of the grid let's begin the test

44:55

let's first understand our invader

44:57

is a fox with a population of

44:59

135 and is slowed by rocket

45:03

terrain I want to understand the

45:05

specifics of our defense mechanisms we

45:08

have rocky Forest Cliff rock python and

45:14

coyote since rocket terrain slows the

45:16

folks down let's start with that I'll

45:18

pick a spot that's closer to the native

45:21

plan I'll build another one now we

45:24

should pick an animal to reduce the

45:26

population of the Fox let me pick rock

45:28

python as its damage is quite

45:31

significant I'll place it on both Rocky

45:34

terrains let's check how much hit points

45:37

we would have in each turn we can hit 50

45:40

since the fox will be slowed down due to

45:42

the rocket terrain we can reduce 200 of

45:45

the folks population which is more than

45:47

enough to diversify let's put a forest

45:49

next to the native

45:51

plan interesting now a new Invader

45:55

appeared let's see if if we need to

45:57

revise our plan I'll stick with my plan

46:00

because the forest can slow down

46:02

groundhogs as well all right I need to

46:05

decide on my action plan for the next

46:07

five turns now let's put a forest to

46:10

slow them down I need to put some

46:13

animals now to inflict damage on the

46:17

groundhogs I'll pick rock python as

46:20

their damage is 50 and place them in

46:22

both

46:24

forests let's diversify resources I'll

46:27

pick

46:28

coyote but we can't put it anywhere we

46:30

like let me place it somewhere

46:33

closer let's Place another one and run

46:37

the

46:40

plan great the fox is depleted the

46:44

groundhog population reduced a lot

46:46

already but now we have another set of

46:49

groundhogs at the bottom of the map

46:51

let's edit the

46:53

plan just checking the potential hit

46:55

points it's not

46:57

enough we need to do something about it

47:00

let's Place rock python in the forest

47:03

since groundhogs will slow down we can

47:05

double the hit

47:07

points okay now we can hit 80 * 2 160

47:12

just in the forest grid alone it should

47:14

work out let's

47:18

continue now we have our final five

47:21

actions to plan since we can easily kill

47:24

the groundhogs with our current setup

47:26

I'm not worried about putting more

47:27

measures to SL them down so let's try to

47:30

build some defense around some empty

47:32

areas of the grid closer to the native

47:35

plant I'll put a forest in two

47:40

grits and place some coyote to create

47:43

significant damage all right I feel

47:45

confident about the setup let's see if

47:47

it's

47:48

sustainable perfect we survived 24 turns

47:52

which is greater than the initial

47:53

objective of 15 this concludes the video

47:57

if you'd like to experience the game

47:58

yourself and maximize your chances to

48:00

pass the assessment check out prep metas

48:03

making a solve simulation best of luck

48:05

with your assessment

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