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Null hypothesis: In Chi-Square goodness of fit test, the null hypothesis assumes that there is no significant difference between the observed and the expected value.
- What are the null and alternative hypotheses for a goodness of fit test?
- What is the null hypothesis for a chi square test example?
- What is the null and alternative hypothesis for chi square test?
- When would a researcher reject the null hypothesis in chi-square goodness of fit?
What are the null and alternative hypotheses for a goodness of fit test?
Chi-square goodness of fit test hypotheses
Null hypothesis (H0): The population follows the specified distribution. Alternative hypothesis (Ha): The population does not follow the specified distribution.
What is the null hypothesis for a chi square test example?
The null hypothesis of the Chi-Square test is that no relationship exists on the categorical variables in the population; they are independent.
What is the null and alternative hypothesis for chi square test?
Hypotheses. Null hypothesis: Assumes that there is no association between the two variables. Alternative hypothesis: Assumes that there is an association between the two variables.
When would a researcher reject the null hypothesis in chi-square goodness of fit?
When the p-value for the chi-square goodness of fit test is less than your significance level, reject the null hypothesis. Your data favor the hypothesis that the sample does not follow the hypothesized distribution. Let's work through two examples using the chi square goodness of fit test!
