In: Statistics and Probability
The hypothesis being tested is:
H0: There is no relationship between the type of vacation and Gender
Ha: There is a relationship between the type of vacation and Gender
Beach | Mountain | Total | ||
Men | Observed | 209 | 280 | 489 |
Expected | 220.61 | 268.39 | 489.00 | |
O - E | -11.61 | 11.61 | 0.00 | |
(O - E)² / E | 0.61 | 0.50 | 1.11 | |
Women | Observed | 225 | 248 | 473 |
Expected | 213.39 | 259.61 | 473.00 | |
O - E | 11.61 | -11.61 | 0.00 | |
(O - E)² / E | 0.63 | 0.52 | 1.15 | |
Total | Observed | 434 | 528 | 962 |
Expected | 434.00 | 528.00 | 962.00 | |
O - E | 0.00 | 0.00 | 0.00 | |
(O - E)² / E | 1.24 | 1.02 | 2.26 | |
2.26 | chi-square | |||
1 | df | |||
.1324 | p-value |
The p-value is 0.1324.
Since the p-value (0.1324) is greater than the significance level (0.01), we fail to reject the null hypothesis.
Therefore, we cannot conclude that there is a relationship between the type of vacation and Gender.
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