What are the null and alternative hypotheses? A. H0: The two variables, x and y, are associated. Ha: The two variables, x and y, are not associated. B. H0: The variable x is dependent upon y. Ha: The variable y is dependent upon x. C. H0: The two variables, x and y, are not associated. Ha: The two variables, x and y, are associated. The P-value is (Round to three decimal places as needed.) What is the conclusion of the independence test? A. Do not reject H0. The data provide sufficient evidence of an association. B. Reject H0. The data provide sufficient evidence of an association. C. Do not reject H0. The data do not provide sufficient evidence of an association. D. Reject H0. The data do not provide sufficient evidence of an association.
What are the null and alternative hypotheses? A. H0: The two variables, x and y, are associated. Ha: The two variables, x and y, are not associated. B. H0: The variable x is dependent upon y. Ha: The variable y is dependent upon x. C. H0: The two variables, x and y, are not associated. Ha: The two variables, x and y, are associated. The P-value is (Round to three decimal places as needed.) What is the conclusion of the independence test? A. Do not reject H0. The data provide sufficient evidence of an association. B. Reject H0. The data provide sufficient evidence of an association. C. Do not reject H0. The data do not provide sufficient evidence of an association. D. Reject H0. The data do not provide sufficient evidence of an association.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
What are the null and alternative hypotheses?
H0:
The two variables,
x
and
y,
are associated.Ha:
The two variables,
x
and
y,
are not associated.H0:
The variable
x
is dependent upon
y.
Ha:
The variable
y
is dependent upon
x.
H0:
The two variables,
x
and
y,
are not associated.Ha:
The two variables,
x
and
y,
are associated.The P-value is
(Round to three decimal places as needed.)
What is the conclusion of the independence test?
Do not reject
H0.
The data
provide
sufficient evidence of an association.Reject
H0.
The data
provide
sufficient evidence of an association.Do not reject
H0.
The data
do not provide
sufficient evidence of an association.Reject
H0.
The data
do not provide
sufficient evidence of an association.
Transcribed Image Text:The contingency table shown to the right gives a
cross-classification of a random sample of values for
two variables, x and y, of a population.
a. Find the expected frequencies. Note: You will first y
need to compute the row totals, column totals, and
grand total.
b. Determine the value of the chi-square statistic.
c. Decide at the 5% significance level whether the
data provide sufficient evidence to conclude that the
two variables are associated.
y
To
A
40
10
a. Compute the expected frequencies and add them into the table given below.
X
B
30
50
b
(Round to two decimal places as needed.)
a
b
b. The test statistic is.
(Round to two decimal places as needed.)
A
40
10
X
B
30
50
n
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