Conduct the hypothesis test and provide the test statistic, critical value and P-value, and state the conclusion.
A package of 100 candies are distributed with the following color percentages: 15% red, 20% orange,16% yellow, 10% brown, 25% blue, and 14% green.
Use the given sample data to test the claim that the color distribution is as claimed. Use a 0.025 significance level.
Candy counts:
Color | Number in Package |
---|---|
Red | 15 |
Orange | 23 |
Yellow | 6 |
Brown | 9 |
Blue | 27 |
Green | 20 |
The test statistic is: (Round to two decimal places):
The critical value is (Round to three decimal places):
The P-value is (Round to three decimal places):
State the Conclusion:
(Reject/Do not reject) H0. There (Is/Is not) sufficient evidence to warrant rejection of the claim that the color distribution is as claimed.
using minitab>stat>tables >chi square
we have
Chi-Square Goodness-of-Fit Test for Observed Counts in Variable: Number in Package
Using category names in Color
Test Contribution
Category Observed Proportion Expected to Chi-Sq
Red 15 0.15 15 0.00000
Orange 23 0.20 20 0.45000
Yellow 6 0.16 16 6.25000
Brown 9 0.10 10 0.10000
Blue 27 0.25 25 0.16000
Green 20 0.14 14 2.57143
N DF Chi-Sq P-Value
100 5 9.53143 0.090
Data | |
Level of Significance | 0.025 |
Degrees of Freedom | 4 |
Critical Value | 11.14329 |
The test statistic is: 9.53
The critical value is 11.143
The P-value is 0.090
State the Conclusion:
Do not reject H0. There Is not sufficient evidence to warrant rejection of the claim that the color distribution is as claimed.
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