In: Statistics and Probability
Isle Royale, an island in Lake Superior, has provided an important study site of wolves and their prey. Of special interest is the study of the number of moose killed by wolves. In the period from 1958 to 1974, there were 296 moose deaths identified as wolf kills. The age distribution of the kills is as follows.
Age of Moose in Years | Number Killed by Wolves |
Calf (0.5 yr) 1-5 6-10 11-15 16-20 |
105 55 74 58 4 |
(a) For each age group, compute the probability that a moose in that age group is killed by a wolf. (Round your answers to three decimal places.)
0.5 | |
1-5 | |
6-10 | |
11-15 | |
16-20 |
(b) Consider all ages in a class equal to the class midpoint. Find
the expected age of a moose killed by a wolf and the standard
deviation of the ages. (Round your answers to two decimal
places.)
μ | = | |
σ | = |
Solution:
Probabilities can be calculated as follows:
Age Of mose |
No. Of killed by Wolves |
Probability |
0.5 |
105 |
105/296 = 0.35 |
1-5 |
55 |
55/296=0.19 |
6-10 |
74 |
74/296=0.25 |
11-15 |
58 |
58/296=0.2 |
16-20 |
4 |
4/296=0.01 |
Solution(b)
After calculating Midpoints probabilities are
Age Of mose |
No. Of killed by Wolves |
Probability |
0.5 |
105 |
0.35 |
3 |
55 |
0.19 |
8 |
74 |
0.25 |
13 |
58 |
0.2 |
18 |
4 |
0.01 |
Expected mean = summation(Xi*P(Xi)) = (0.5*0.35) + (3*0.19) +
(8*0.25) + (13*0.2) + (18*0.01) = 5.53
Standard deviation = sqrt(Summation((Xi-mean)^2*P(Xi))
Age Of mose |
No. Of killed by Wolves |
Probability |
(Xi-mean) |
(Xi-mean)^2 |
(Xi-mean)^2*P(Xi) |
0.5 |
105 |
0.35 |
-5.03 |
25.3009 |
8.855315 |
3 |
55 |
0.19 |
-2.53 |
6.4009 |
1.216171 |
8 |
74 |
0.25 |
2.47 |
6.1009 |
1.525225 |
13 |
58 |
0.2 |
7.47 |
55.8009 |
11.16018 |
18 |
4 |
0.01 |
12.47 |
155.5009 |
1.555009 |
24.72 |
Standard deviation =sqrt(24.72) = 4.97