Question
Question 1: You are conducting a multinomial hypothesis test ( = 0.05) for the claim that all 5 categories are equally likely to be selected.
Question 1:
You are conducting a multinomial hypothesis test ( = 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table.
Category | Observed Frequency | Expected Frequency | |
A | 10 | ||
B | 8 | ||
C | 23 | ||
D | 8 | ||
E | 18 |
What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places.)
2=
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...
- less than (or equal to)
- greater than
This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
- accept the alternative
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.
- There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
- The sample data support the claim that all 5 categories are equally likely to be selected.
- There is not sufficient sample evidence to support the claim that all 5 categories are equally likely to be selected.
____________________________________________________________________________
Question 2:
You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.
X | Y | Z | |
A | 43 | 32 | 38 |
B | 32 | 53 | 23 |
Give all answers rounded to3 places after the decimal point, if necessary.
(a) Enter theexpected frequencies below:
X | Y | Z | |
A | |||
B |
To find the expected frequencies:
- Enter the observed matrix into the calculator, per the Technology Corner.
- Perform the test, per the Technology Corner.
- Return to the matrix menu and view the B matrix. This will be the expected frequencies.
(b) What is the chi-squaretest-statistic for this data?
Test Statistic:2= ____
(c) What is thecritical value for this test of independence when using a significance level of= 0.005? Critical Value:2=___(Enter 10.597 as the answer to this question.)
(d) What is the correct conclusion of this hypothesis test at the 0.005 significance level?
- Thereis sufficient evidence tosupport the claim that the row and column variables are dependent.
- Thereis sufficient evidence to warrantrejection of the claim that the row and column variables are dependent.
- There isnot sufficient evidence to warrantrejection of the claim that the row and column variables are dependent.
- There isnot sufficient evidence tosupport the claim that the row and column variables are dependent.
Remember to give all answers rounded to3 places after the decimal point, if necessary.
____________________________________________________________________________
Question 3:
You wish to test the following claim: A population of weights has the last digit (ones-digit) that do NOT occur with the same frequency.
Which of the following would be your hypotheses?
- H0:Proportion is not independent of digit. H1:Proportion is independent of digit.
- H0:The proportion of each digit occuring is the same. H1:The proportion of each digit occuring is NOT the same.
- H0:The proportion of each digit occuring is NOT the same. H1:The proportion of each digit occuring is the same.
- H0:Proportion is independent of digit. H1:Proportion is not independent of digit.
____________________________________________________________________________
Question 4:
You are given a contingency table laying out the success and failure amounts of various treatments for a disease.
You wish to test the following claim that success of the treatment is independent of the type of treatment.
Which of the following would be your hypotheses?
- H0:The proportion of success is NOT the same in each treatment.
H1: The proportion of success is the same in each treatment.
- H0:The proportion of success is the same in each treatment.
H1: The proportion of success is NOT the same in each treatment.
- H0: Success is independent of treatment.
H1: Success and treatment are dependent.
- H0: Success and treatment are dependent.
H1: Success is independent of treatment.<
____________________________________________________________________________
Question 5:
You are conducting a multinomial hypothesis test (= 0.05) for the claim that all 5 categories are equally likely to be selected.
The p-value for this sample is 0.6399
This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
- accept the alternative
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.
- There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
- The sample data support the claim that all 5 categories are equally likely to be selected.
- There is not sufficient sample evidence to support the claim that all 5 categories are equally likely to be selected.
____________________________________________________________________________
Question 6:
You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.
XX | ZY | ZZ | |
AA | 49 | 31 | 15 |
BB | 63 | 45 | 10 |
The chi-squaretest-statistic for this data is 2.879.
Thecritical value for this test of independence when using a significance level of= 0.05 is2= 5.991.
What is the correct conclusion of this hypothesis test at the 0.05 significance level?
- Thereis sufficient evidence tosupport the claim that the row and column variables are dependent.
- There isnot sufficient evidence tosupport the claim that the row and column variables are dependent.
- Thereis sufficient evidence to warrantrejection of the claim that the row and column variables are dependent.
- There isnot sufficient evidence to warrantrejection of the claim that the row and column variables are dependent.
____________________________________________________________________________
Question 7:
You are conducting a multinomial hypothesis test (= 0.05) for the claim that all 5 categories are equally likely to be selected.
The p-value for this sample is 0.0182
This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
- accept the alternative
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.
- There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
- The sample data support the claim that all 5 categories are equally likely to be selected.
- There is not sufficient sample evidence to support the claim that all 5 categories are equally likely to be selected.
____________________________________________________________________________
Question 8:
You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.
XX | YY | ZZ | |
AA | 52 | 26 | 19 |
BB | 45 | 26 | 28 |
The chi-squaretest-statistic for this data is 2.208.
Thecritical value for this test of independence when using a significance level of = 0.005 is2=10.597.
What is the correct conclusion of this hypothesis test at the 0.005 significance level?
- There isnot sufficient evidence to warrantrejection of the claim that the row and column variables are dependent.
- There isnot sufficient evidence tosupport the claim that the row and column variables are dependent.
- Thereis sufficient evidence to warrantrejection of the claim that the row and column variables are dependent.
- Thereis sufficient evidence tosupport the claim that the row and column variables are dependent.
____________________________________________________________________________
Question 9:
You intend to conduct a goodness-of-fit test for a multinomial distribution with 5 categories. You collect data from 79 subjects.
What are the degrees of freedom for the2distribution for this test?
d.f. = ____
____________________________________________________________________________
Question 10:
You intend to conduct a test of independence for a contingency table with 7 categories in the column variable and 2 categories in the row variable. You collect data from 312 subjects.
What are the degrees of freedom for the2 distribution for this test?
d.f. =____
____________________________________________________________________________
Question 11:
You are conducting a multinomial hypothesis test (= 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table.
Category | Observed Frequency | Expected Frequency | |
A | 6 | ||
B | 13 | ||
C | 23 | ||
D | 8 | ||
E | 12 |
What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places.)
2=____
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...
- less than (or equal to)
- greater than
This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
- accept the alternative
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.
- There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
- The sample data support the claim that all 5 categories are equally likely to be selected.
- There is not sufficient sample evidence to support the claim that all 5 categories are equally likely to be selected.
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