In: Math
You may need to use the appropriate technology to answer this question.
Test the following hypotheses by using the
χ2
goodness of fit test.
H0: | pA = 0.40, pB = 0.40, and pC = 0.20 |
Ha: | The population proportions are not pA = 0.40, pB = 0.40, and pC = 0.20. |
A sample of size 200 yielded 80 in category A, 20 in category B, and 100 in category C. Use α = 0.01 and test to see whether the proportions are as stated in
H0.
(a)
Use the p-value approach.
Find the value of the test statistic.
Find the p-value. (Round your answer to four decimal places.)
p-value =
State your conclusion.
Reject H0. We conclude that the proportions are equal to 0.40, 0.40, and 0.20.Reject H0. We conclude that the proportions differ from 0.40, 0.40, and 0.20. Do not reject H0. We cannot conclude that the proportions differ from 0.40, 0.40, and 0.20.Do not reject H0. We cannot conclude that the proportions are equal to 0.40, 0.40, and 0.20.
(b)
Repeat the test using the critical value approach.
Find the value of the test statistic.
State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail. Round your answers to three decimal places.)
test statistic ≤test statistic ≥
State your conclusion.
Do not reject H0. We cannot conclude that the proportions are equal to 0.40, 0.40, and 0.20.Do not reject H0. We cannot conclude that the proportions differ from 0.40, 0.40, and 0.20. Reject H0. We conclude that the proportions are equal to 0.40, 0.40, and 0.20.Reject H0. We conclude that the proportions differ from 0.40, 0.40, and 0.20.
For the given Hypotheses:
H0: | pA = 0.40, pB = 0.40, and pC = 0.20 |
Ha: | The population proportions are not pA = 0.40, pB = 0.40, and pC = 0.20. |
P-value approach:
The test statistic is calculated by tabulating the value as:
Chi Square=135
The P-value computed using Chi square table at Degree of freedom=3-1=2 as
The p-value is < 0.00001.
# Conclusion:
Reject H0. We conclude that the proportions differ from 0.40, 0.40, and 0.20. Since P-value<<<0.01
b) The critical value approach:
THe test Statistic is the same as calculated above as 135
# Rejection region:
# Conclusion:
SInce test statistic >>>9.21 hence Reject H0. We conclude that the proportions differ from 0.40, 0.40, and 0.20.
The chi square table for P-value compuation and rejection region computaion is shown below as: