You are conducting a multinomial hypothesis test (αα = 0.05) for
the claim that all 5 categories are equally likely to be
selected.
Category | Observed Frequency |
---|---|
A | 17 |
B | 11 |
C | 24 |
D | 25 |
E | 25 |
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 =
applying chi square goodness of fit test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
A | 0.200 | 17 | 20.40 | -0.75 | 0.567 |
B | 0.200 | 11 | 20.40 | -2.08 | 4.331 |
C | 0.200 | 24 | 20.40 | 0.80 | 0.635 |
D | 0.200 | 25 | 20.40 | 1.02 | 1.037 |
E | 0.200 | 25 | 20.40 | 1.02 | 1.037 |
total | 1.000 | 102 | 102 | 7.608 |
chi-square test-statistic X2 =7.608
degree of freedom =categories -1=5-1=4
p value =0.1070
You are conducting a multinomial hypothesis test (αα = 0.05) for the claim that all 5...
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