In: Statistics and Probability
There is a population of people: one-sixth of the people have seen 1 movie in the last year. One-sixth of the people have seen 6 movies in the last year. One-sixth of the people have seen 7 movies in the last year. Two-sixths (one-third) of the people have seen 9 movies in the last year. And one-sixth of the people have seen 10 movies in the last year. If a sample of 225 people is picked, what is the probability that the sample mean will be smaller than 7.5?
Based on the given data,
No. of movies (x) | Probability (p) | (x) (p) | (x-Mean ) | (x) (x-Mean) |
1 | 1/6 | 1/6 | 36 | 36 |
6 | 1/6 | 6/6 | 1 | 6 |
7 | 1/6 | 7/6 | 0 | 0 |
9 | 2/6 | 18/6 | 4 | 36 |
10 | 1/6 | 10/6 | 9 | 90 |
SUM = 33 | SUM = 1 | SUM = 42 / 6 = 7 | SUM = 50 | SUM = 168 |
MEAN (M) = 7 / 1 = 7 | ||||
VAR = 168 / 33 = 5.091 | ||||
SD (s) = SQRT (VAR) = 2.256 |
Hence, the expectation (or) mean for the given data is obtained as 7.
For n = 225,
Pr( M < 7.5)
From standard normal table,
= 0.99955
Hence, the probability that the sample mean will be smaller than 7.5 would be 0.99955.