A college counselor wants to determine if the number of hours spent studying for a test can be used to predict the grades on a test. What is the explanatory variable?

A researcher conducts a study comparing anxiety levels in teens based on their social media usage. Teens with higher scores on the anxiety measure are considered more anxious. Below is a table made from their results. Briefly interpret the results by explaining both descriptive and inferential statistics identified.

You saw back in Chapter 2 that the mean, median, mode, and midrange are used to indicate where data is centered in a data set, or in other words what a typical value in the set is. A question that is often asked is, "If they're all supposed to do the same thing, why is there more than one?" Isn't one enough? In this exercise, you will be given two small sets of data. For each set, a. find the mean, median, mode and midrange b. in your opinion, decide which of the measures BEST represents all the values in the set (best indicates a typical value), and which one does this the WORST. c. post your responses and justify them by explaining why Don't forget to respond to at least one of your classmate's posts. With this exercise, "more is better." I'll elaborate after the deadline. • Set A: the salaries of 10 employees at a company (in thousands of dollars): 50, 50, 50, 50, 50, 50, 50, 50, 50, 500 • Set B: the grades of 9 students on an exam: 20, 25, 30, 35, 40, 45, 100, 100, 100

Last semester, Bonnie took a different Biology teacher than her friend Tony. After the final exam, they compared test scores. Bonnie earned an 83 (mean = 75.6, sd = 5), and Tony earned an 87 (mean = 80.3, sd = 7). Who did better? Why?