The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the α=0.1 level of significance. Category 1 Category 2 Category 3 Failures 32 51 57 Successes 39 54 73 State the hypotheses. Choose the correct answer below. A. H0: The categories of the variable and success and failure are independent. H1: The categories of the variable and success and failure are dependent. B. H0: The categories of the variable and success and failure are dependent. H1: The categories of the variable and success and failure are independent. C. H0: p1=p2=p3 H1: At least one of the proportions is different from the others. D. H0: μ1=E1 and μ2=E2 and μ3=E3 H1: At least one mean is different from what is expected. What is the P-value? nothing (Round to three decimal places as needed.) What conclusion can be made? A. The P-value is greater than or equal to α, so reject H0. There is sufficient evidence that the categories of the variable and success and failure are dependent. B. The P-value is less than α, so do not reject H0. There is sufficient evidence that the proportions are different from each other. C. The P-value is less than α, so reject H0. There is not sufficient evidence that the categories of the variable and success and failure are dependent. D. The P-value is greater than or equal to α, so do not reject H0. There is not sufficient evidence that the proportions are different from each other.
The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the α=0.1 level of significance. Category 1 Category 2 Category 3 Failures 32 51 57 Successes 39 54 73 State the hypotheses. Choose the correct answer below. A. H0: The categories of the variable and success and failure are independent. H1: The categories of the variable and success and failure are dependent. B. H0: The categories of the variable and success and failure are dependent. H1: The categories of the variable and success and failure are independent. C. H0: p1=p2=p3 H1: At least one of the proportions is different from the others. D. H0: μ1=E1 and μ2=E2 and μ3=E3 H1: At least one mean is different from what is expected. What is the P-value? nothing (Round to three decimal places as needed.) What conclusion can be made? A. The P-value is greater than or equal to α, so reject H0. There is sufficient evidence that the categories of the variable and success and failure are dependent. B. The P-value is less than α, so do not reject H0. There is sufficient evidence that the proportions are different from each other. C. The P-value is less than α, so reject H0. There is not sufficient evidence that the categories of the variable and success and failure are dependent. D. The P-value is greater than or equal to α, so do not reject H0. There is not sufficient evidence that the proportions are different from each other.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the
α=0.1
level of significance.
|
Category 1
|
Category 2
|
Category 3
|
|
---|---|---|---|---|
Failures
|
32
|
51
|
57
|
|
Successes
|
39
|
54
|
73
|
State the hypotheses. Choose the correct answer below.
H0:
The
categories of the variable
and
success and failure
are independent.H1:
The
categories of the variable
and
success and failure
are dependent.H0:
The
categories of the variable
and
success and failure
are dependent.H1:
The
categories of the variable
and
success and failure
are independent.H0:
p1=p2=p3
H1:
At least one of the proportions is different from the others.H0:
μ1=E1
and
μ2=E2
and
μ3=E3
H1:
At least one mean is different from what is expected.What is the P-value?
nothing
(Round to three decimal places as needed.)What conclusion can be made?
The P-value is
greater than or equal to
α,
so
reject
H0.
There is
sufficient
evidence that the
categories of the variable
and
success and failure
are dependent.The P-value is
less than
α,
so
do not reject
H0.
There is
sufficient
evidence that the proportions are different from each other.The P-value is
less than
α,
so
reject
H0.
There is
not sufficient
evidence that the
categories of the variable
and
success and failure
are dependent.The P-value is
greater than or equal to
α,
so
do not reject
H0.
There is
not sufficient
evidence that the proportions are different from each other.Expert Solution

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