Please select the correct answer one for these multiple choice questions. Question 1 2 Points What is the level of measurement for the variable: number of people in your statistics class? ordinal nominal interval-ratio none of the above Question 2 2 Points What is the level of measurement for the variable: percentage of students who are first-generation college students at your school? ordinal nominal interval-ratio none of the above Question 3 2 Points What is the level of measurement for the variable: name of each academic major offered in your college? ordinal nominal interval-ratio none of the above Question 4 2 Points What is the level of measurement for the variable: rating of the overall quality of a textbook, on a scale from excellent to poor? ordinal nominal interval-ratio none of the above Question 5 2 Points What is the level of measurement for the variable: type of transportation a person takes to school (e.g., bus, walk, car)? ordinal nominal interval-ratio none of the above Question 6 2 Points What is the level of measurement for the variable: number of hours you study for a statistics exam? ordinal nominal interval-ratio none of the above Question 7 2 Points What is the level of measurement for the variable: rating of the overall quality of your campus coffee shop, on a scale from excellent to poor? ordinal nominal interval-ratio none of the above Question 8 2 Points Is the interval-ratio for the number of people in your statistics class discrete or continuous? discrete continuous Question 9 2 Points Is the interval-ratio for percentage of students who are first-generation college students at your school discrete or continuous? discrete continuous Question 10 2 Points Is the interval-ratio for number of hours you study for a statistics exam discrete or continuous? discrete continuous

Competency Evaluate hypothesis tests for population parameters from two populations. Dealing with Two Populations Inferential statistics involves forming conclusions about a population parameter. We do so by constructing confidence intervals and testing claims about a population mean and other statistics. Typically, these methods deal with a sample from one population. We can extend the methods to situations involving two populations (and there are many such applications). This deliverable looks at two scenarios. Concept being Studied Your focus is on hypothesis tests and confidence intervals for two populations using two samples, some of which are independent and some of which are dependent. These concepts are an extension of hypothesis testing and confidence intervals which use statistics from one sample to make conclusions about population parameters.