Suppose there is a random sample of 1,048 observations, divided into four groups. The table below summarizes the observations that were seen in each group.
Group 1 |
Group 2 |
Group 3 |
Group 4 |
493 |
189 |
115 |
251 |
We are interested in testing the Null hypothesis Observed=Expected, under the assumption that the expected proportions are .50, .20, .10, and .20 for the 4 groups, respectively.
What are the expected values?
Group 1 |
Group 2 |
Group 3 |
Group 4 |
What is the value of the test statistic? Round your response to at least 3 decimal places.
What is the P-value for the test? Round your response to at least 4 decimal places.
The null and alternative hypothesis is
Ho: P1 = 0.50 , P2 = 0.20 , P3 = 0.10 , P4 = 0.20
H1: P1 0.50 , P2 0.20 , P3 0.10 , P4 0.20
Level of significance = 0.05
Test statistic is
O: Observed frequency
E: Expected frequency.
E = n*pi
O | p | E | (O-E) | (O-E)^2 | (O-E)^2/E | |
493 | 0.5 | 524 | -31 | 961 | 1.833969 | |
189 | 0.2 | 209.6 | -20.6 | 424.36 | 2.024618 | |
115 | 0.1 | 104.8 | 10.2 | 104.04 | 0.992748 | |
251 | 0.2 | 209.6 | 41.4 | 1713.96 | 8.17729 | |
Total | 1048 | 13.03 |
Degrees of freedom = Number of E's - 1 = 4 - 1 = 3
P-value = 0.0046
P-value < 0.05 we reject null hypothesis.
Conclusion: At least one proportion is not correct.
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