Podcast
Questions and Answers
What is the purpose of using inferential statistics to evaluate sample data?
What is the purpose of using inferential statistics to evaluate sample data?
- To precisely describe the characteristics of the sample
- To determine the mode of the sampling distribution
- To calculate the mean of the sample
- To make inferences about the larger population from which the sample was drawn (correct)
What is the purpose of distinguishing between the null hypothesis and the research hypothesis?
What is the purpose of distinguishing between the null hypothesis and the research hypothesis?
- To establish the mean and standard deviation of the sample
- To calculate the range of the sampling distribution
- To identify outliers in the data set
- To provide a basis for statistical hypothesis testing (correct)
When is a t-test used and what are the three basic steps to using it?
When is a t-test used and what are the three basic steps to using it?
- Used to compare means of three or more groups, involving calculation of t-statistic, determining degrees of freedom, and assessing statistical significance
- Used to compare medians of two groups, involving calculation of t-statistic, determining degrees of freedom, and assessing statistical significance
- Used to compare variances of two groups, involving calculation of t-statistic, determining degrees of freedom, and assessing statistical significance
- Used to compare means of two groups, involving calculation of t-statistic, determining degrees of freedom, and assessing statistical significance (correct)
What does the F test assess in terms of variance?
What does the F test assess in terms of variance?
What do Type I and Type II errors refer to in statistical analysis?
What do Type I and Type II errors refer to in statistical analysis?
What does inferential statistics try to answer?
What does inferential statistics try to answer?
What is the purpose of a sampling distribution in determining statistical significance?
What is the purpose of a sampling distribution in determining statistical significance?
How do effect-size and confidence intervals contribute to the validity of conclusions beyond hypothesis tests?
How do effect-size and confidence intervals contribute to the validity of conclusions beyond hypothesis tests?
When is it appropriate to use a t-test?
When is it appropriate to use a t-test?
What influences the probability of making Type I and Type II errors?
What influences the probability of making Type I and Type II errors?