Module 12 Practice Questions (3)

Front

What is the Chi-Square test statistic used for?

Back

The Chi-Square test statistic is used to determine if there is a significant difference between the observed and expected frequencies in categorical data.

Front

How is the Chi-Square test statistic calculated?

Back

The Chi-Square test statistic is calculated using the formula: χ² = Σ((O - E)² / E), where O is the observed count and E is the expected count.

Front

What does a contribution of 4.09 to the Chi-Square test statistic indicate?

Back

A contribution of 4.09 indicates a significant difference between the observed and expected counts, suggesting that the observed data does not fit the expected distribution.

Front

What is a null hypothesis in statistical testing?

Back

A null hypothesis is a statement that there is no effect or no relationship between variables, and it serves as the default assumption to be tested.

Front

What is the null hypothesis for the relationship between gender and ear piercing?

Back

The null hypothesis is that there is no relationship between gender and ear piercing.

Front

What is an alternative hypothesis?

Back

An alternative hypothesis is a statement that indicates the presence of an effect or a relationship between variables, opposing the null hypothesis.

Front

What is the alternative hypothesis for the relationship between gender and ear piercing?

Back

The alternative hypothesis is that there is a relationship between gender and ear piercing.

Front

What is the significance of expected counts in a Chi-Square test?

Back

Expected counts are the frequencies that would be expected if the null hypothesis were true; they are used to calculate the Chi-Square statistic.

Front

When is the expected count valid in a Chi-Square test?

Back

The expected count is valid when all expected counts are at least 5.

Front

What is the purpose of hypothesis testing in statistics?

Back

The purpose of hypothesis testing is to determine whether there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.