In: Statistics and Probability
Brian plays golf regularly and would like to test the hypothesis that the number of golf balls that he loses during a round follows the Poisson distribution with an average of 2.0 balls per round. To test this hypothesis, he has collected the following lost ball data from a random sample of rounds.
Number of Lost Balls Per Round |
Frequency |
---|---|
0 |
8 |
1 |
24 |
2 |
11 |
3 |
5 |
4 |
2 |
Perform this hypothesis test using α = 0.05.
Run a simple linear regression to perform hypothesis test
P-value is nothing but significance F in regression
P-value = 0.31 which is larger than the α 0.05 level
If the p-value is larger than 0.05, we cannot conclude that a significant difference exists.This means we retain the null hypothesis and reject the alternative hypothesis