In: Statistics and Probability
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 |
70 |
76 |
52 |
|
Successes |
58 |
52 |
71 |
State the hypotheses. Choose the correct answer below.
A. H0: The categories of the variable and success and failure are dependent.
H1: The categories of the variable and success and failure are independent.
B. H0: The categories of the variable and success and failure are independent.
H1: The categories of the variable and success and failure are dependent.
C. H0: μ1=E1 and μ2=E2 and μ3=E3
H1: At least one mean is different from what is expected.
D. H0: p1=p2=p3
H1: At least one of the proportions is different from the others.
What is the P-value?
____ (Round to three decimal places as needed.)
What conclusion can be made?
A.The P-value is greater than or equal to α, so do not 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 reject H0. There is sufficient evidence that the proportions are different from each other.
C.The P-value is greater than or equal to α, so reject H0. There is not sufficient evidence that the proportions are different from each other.
D.The P-value is less than α, so do not reject H0. There is not sufficient evidence that the categories of the variable and success and failure are dependent.