In: Statistics and Probability
Use the following to answer 5 - 8.
Among the four northwestern states, Washington has 51% of the total population, Oregon has 30%, Idaho has 11%, and Montana has 8%. A market researcher selects a sample of 1000 subjects, with 450 in Washington, 340 in Oregon, 150 in Idaho, and 60 in Montana. At the .05 significance level, test the claim that the sample of 1000 subjects has distribution that agrees with the distribution of state populations.
Which of the following is the correct statement for the claim?
Group of answer choices
H1: At least one of the percentages is different.
Ho: Wa = .51, Or = .3, Id = .11, Mn= .08
H1: Wa = .51, Or = .3, Id = .11, Mn= .08
Ho: At least one of the percentages is different
Question 6
The test statistic is:
Group of answer choices
17.455
26.963
33.942
31.938
Question 7
The p-value is:
Group of answer choices
.000000238
.000000539
.263122245
.000000989
Question 8
The conclusion for this test is:
Group of answer choices
Fail to reject Ho which says that there is sufficient evidence to support the claim of the same distribution
Reject Ho which says there is sufficient evidence to warrant rejection of the claim of the same distribution
Reject Ho which says there is sufficient evidence to support the claim of the same distribution
Fail to reject Ho which says there is sufficient evidence to warrant rejection of the claim of the same distribution
Solution:
Given: Among the four northwestern states,
Washington has 51% of the total population, Oregon has 30%, Idaho has 11%, and Montana has 8%.
Claim: the sample of 1000 subjects has distribution that agrees with the distribution of state populations.
Level of significance = 0.05
Question 5
Which of the following is the correct statement for the claim?
Ho: Wa = .51, Or = .3, Id = .11, Mn= .08
Question 6
The test statistic is:
Chi square test statistic for goodness of fit
Where
Oi = Observed Counts
Ei =Expected Counts = N * % = 1000 * % values
Thus we need to make following table
states | Expected % | Oi: Expected Counts | Ei: Expected Counts | Oi^2/Ei |
---|---|---|---|---|
Washington | 51% | 450 | 510 | 397.059 |
Oregon | 30% | 340 | 300 | 385.333 |
Idaho | 11% | 150 | 110 | 204.545 |
Idaho | 8% | 60 | 80 | 45.000 |
100% | N = 1000 |
Thus
Question 7
The p-value is:
Use following Excel command:
=CHISQ.DIST.RT(x, df)
where
x = and df = k - 1= 4 - 1 = 3
thus
=CHISQ.DIST.RT(31.938,3)
= 0.000000539
thus p-value is: 0.000000539
Question 8
The conclusion for this test is:
Since p-value = 0.000000539 < 0.05 level of significance, we reject null hypothesis.
Reject Ho which says there is sufficient evidence to warrant rejection of the claim of the same distribution