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In a goodness-of-fit test, suppose that the value of the test statistic is 11.89 and the degrees of freedom are 5. At the 5% significance level, the null hypothesis is:
A) rejected and p-value for the test is smaller than 0.05
B) not rejected, and p-value for the test is greater than 0.05
C) rejected, and p-value for the test is greater than 0.05
D) not rejected, and p-value for the test is smaller than 0.05
E) none of these
Test Statistic
A numerical value used in statistical testing to determine whether to reject the null hypothesis, calculated from sample data.
Degrees of Freedom
The number of independent pieces of information used to estimate a parameter or statistic in a dataset.
Significance Level
The significance level, often denoted by alpha (α), is the probability of rejecting the null hypothesis when it is true, used as a threshold for determining statistical significance.
- Use the chi-square goodness-of-fit test to evaluate assertions regarding the distribution of categorical data.
- Analyze the outcomes of chi-square tests by examining the test statistics, critical values, and p-values.
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Learning Objectives
- Use the chi-square goodness-of-fit test to evaluate assertions regarding the distribution of categorical data.
- Analyze the outcomes of chi-square tests by examining the test statistics, critical values, and p-values.
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