In: Statistics and Probability
You are conducting a multinomial hypothesis test ( α = 0.05) for the claim that all 5 categories are equally likely to be selected.
Category | Observed Frequency |
---|---|
A | 23 |
B | 17 |
C | 13 |
D | 19 |
E | 5 |
What is the chi-square test-statistic for this data?
χ2=χ2=
What are the degrees of freedom for this test?
d.f. =
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value =
The p-value is...
This test statistic leads to a decision to...
As such, the final conclusion is that...
Solution:
Claim: all 5 categories are equally likely to be selected.
Level of significance = 0.05
Hypothesis are:
H0: all 5 categories are equally likely to be selected.
Vs
H1: At least one categories is different from others.
Part 1) What is the chi-square test-statistic for this data?
Chi square test statistic for goodness of fit
Where
Oi = Observed Counts
Ei =Expected Counts = N / k = 77 / 5 = 15.400
Thus we need to make following table:
Category | Oi: Observed frequency | Ei: Expected frequency | Oi^2/Ei |
A | 23 | 15.400 | 34.351 |
B | 17 | 15.400 | 18.766 |
C | 13 | 15.400 | 10.974 |
D | 19 | 15.400 | 23.442 |
E | 5 | 15.400 | 1.623 |
N = 77 |
Thus
Part 2) What are the degrees of freedom for
this test?
d.f. = k - 1
d.f. = 5 - 1
d.f. = 4
Part 3) What is the p-value for this sample?
Use following Excel command:
=CHISQ.DIST.RT(x,df)
=CHISQ.DIST.RT( 12.156, 4)
=0.0162
Thus
p-value = 0.0162
Part 4) The p-value is:
p-value = 0.0162 < α = 0.05
thus correct answer is:
less than (or equal to) α
Part 5) This test statistic leads to a decision to
reject the null
Part 6) As such, the final conclusion is that:
There is sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected