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 if 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 p-value indicate in hypothesis testing?

Back

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

Front

What is the significance level in hypothesis testing?

Back

The significance level (alpha) is the threshold at which you reject the null hypothesis, commonly set at 0.05.

Front

What is the null hypothesis (H0)?

Back

The null hypothesis (H0) is a statement that there is no effect or no difference, and it serves as the default assumption in hypothesis testing.

Front

What is the alternative hypothesis (Ha)?

Back

The alternative hypothesis (Ha) is a statement that indicates the presence of an effect or a difference, opposing the null hypothesis.

Front

What does it mean if the data does not provide enough evidence to conclude that two variables are related?

Back

It means that the statistical analysis did not show a significant association between the two variables, suggesting they may be independent.

Front

What is a two-way table?

Back

A two-way table is a statistical table that displays the frequency distribution of two categorical variables, allowing for the analysis of their relationship.

Front

What is a linear relationship?

Back

A linear relationship is a relationship between two variables that can be graphically represented by a straight line, indicating a constant rate of change.

Front

What is the purpose of hypothesis testing?

Back

The purpose of hypothesis testing is to make inferences about a population based on sample data, determining whether to reject or fail to reject the null hypothesis.