Consider a multinomial experiment with n = 275 and k = 4. The null hypothesis to be tested is H0: p1 = p2 = p3 = p4 = 0.25. The observed frequencies resulting from the experiment are: (You may find it useful to reference the appropriate table: chi-square table or F table)
Category 1 2 3
4
Frequency 67 55 75
78
a. Choose the appropriate alternative hypothesis.
Not all population proportions are equal to 0.25.
All population proportions differ from 0.25.
b-1. Calculate the value of the test statistic. (Round
intermediate calculations to at least 4 decimal places and final
answer to 3 decimal places.)
b-2. Find the p-value.
0.025 p-value < 0.05
p-value < 0.01
p-value 0.10
0.01 p-value < 0.025
0.05 p-value < 0.10
c. At the 10% significance level, what is the conclusion to the
hypothesis test?
Reject H0 since the p-value is greater than the significance
level.
Reject H0 since the p-value is less than the significance
level.
Do not reject H0 since the p-value is greater than the significance
level.
Do not reject H0 since the p-value is less than the significance
level.
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