Module 12 Practice Questions (2)

Front

What is the Chi-Square test statistic?

Back

The Chi-Square test statistic is a measure used to determine whether there is a significant difference between the expected and observed 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 frequency and E is the expected frequency.

Front

What does a Chi-Square contribution of 2.00 indicate?

Back

A Chi-Square contribution of 2.00 indicates that the observed count is significantly different from the expected count, contributing positively to the overall Chi-Square statistic.

Front

What is a null hypothesis?

Back

A null hypothesis is a statement that there is no effect or no relationship between variables, and it serves as a starting point for statistical testing.

Front

What is the null hypothesis in the context of gender and ear piercing?

Back

The null hypothesis states 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 regarding gender and ear piercing?

Back

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

Front

How do you calculate expected counts in a Chi-Square test?

Back

Expected counts are calculated by multiplying the total count for a category by the proportion of that category in the overall sample.

Front

What is the expected count of pierced males if the total sample is 1,000?

Back

The expected count of pierced males is 233.28.

Front

What is a p-value in hypothesis testing?

Back

A p-value is the probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is true.