identify the type of test.

1) Does job satisfaction differ by profession? A group of business executives chose random samples of 10 lawyers and 10 cabinetmakers and asked them to rate their job satisfaction on a scale from 0-100. Select one:

a. One sample t-test b. Two sample t-test c. Two sample confidence interval d. Matched pairs t-test e. Matched pairs confidence interval f Some other type of test

2) An experiment was conducted to estimate the mean difference in reaction times between two types of traffic signs: prohibitive (No Left Turn) and permissive (Left Turn Only). Ten drivers were presented with 40 signs, 20 of each type, in random order. The mean time to reaction (in milliseconds) was recorded for each driver. Select one: a. One sample t-test b. Two sample t-test c. Two sample confidence interval d. Matched pairs t-test e. Matched pairs confidence interval f. Some other types of test

3) An experiment was conducted to see if there is a difference in the mean reaction times to two types of traffic signs: prohibitive (No Left Turn) and permissive (Left Turn Only). Ten drivers were presented with 40 signs, 20 of each type, in random order. The mean time to reaction (in milliseconds) was recorded for each driver. Select one: a. One sample t-test b. Two sample t-test c. Two sample confidence interval d. Matched pairs t-test e. Matched pairs confidence interval f. Some other types of test

4) Does job satisfaction differ by profession? A group of business executives chose random samples of 10 workers from each profession (lawyers, physical therapists, cabinetmakers and system analysts) and asked them to rate their job satisfaction as not satisfied, somewhat satisfied or very satisfied. Select one: a. One sample t-test b. Two sample t-test c. Two sample confidence interval d. Matched pairs t-test e. Matched pairs confidence interval f. Some other types of test

5) Does job satisfaction depend on the profession? A group of business executives chose random samples of 10 workers from each profession (lawyers, physical therapists, cabinetmakers and system analysts) and asked them to rate their job satisfaction on a scale from 0-100. Select one: a. Chi-Square Goodness of Fit Test b. Chi-Square Test of Independence

c. Chi-Square Test of Homogeneity d. One-Way ANOVA O e. Two-Way ANOVA f. Simple Linear Regression

g. Multiple Linear Regression

6) Does job satisfaction depend on the profession? A group of business executives chose random samples of 10 workers from each profession (lawyers, physical therapists, cabinetmakers and system analysts) and asked them to rate their job satisfaction as not satisfied, somewhat satisfied or very satisfied. Select one: a. Chi-Square Goodness of Fit Test

b. Chi-Square Test of Independence

c. Chi-Square Test of Homogeneity d. One-Way ANOVA

e. Two-Way ANOVA O f. Simple Linear Regression

g. Multiple Linear Regression

7) Two types of outdoor paint (enamel and latex) were tested to see how long (in months) each lasted before it began to crack, flake and peel. They were tested in four geographic locations in North America to study the effects of climate on the paint. Each type-location combination contained three test panels. Select one:

a. Chi-Square Goodness of Fit Test

b. Chi-Square Test of Independence

c. Chi-Square Test of Homogeneity d. One-Way ANOVA

e. Two-Way ANOVA f Simple Linear Regression g. Multiple Linear Regression

8) Textbook cost is one expense that university students often complain about. Is the size of the book (measured by the number of pages) related to the price of the book (in dollars)? Select one: a. Chi-Square Goodness of Fit Test

b. Chi-Square Test of Independence

c. Chi-Square Test of Homogeneity d. One-Way ANOVA e. Two-Way ANOVA f. Simple Linear Regression g. Multiple Linear Regression

9) Anyone who regularly watches Dr. Phil is sure to have heard the following statement: "Past behaviour is the best predictor of future behaviour." Certainly, it is this logic that underlies college entrance exams. However, many other factors also influence one's academic performance. For a class project, an Introductory Statistics student at Chuckles University in Northern Ontario investigated whether there was a linear association between final exam grade and midterm grade, time spent studying (hours, time spent sleeping the night before the exam (hours), and the amount of caffeine ingested the morning of the exam (cups). Select one: a. Chi-Square Goodness of Fit Test b. Chi-Square Test of Independence c. Chi-Square Test of Homogeneity

d. One-Way ANOVA

e. Two-Way ANOVA Of Simple Linear Regression g. Multiple Linear Regression

10) An urban economist wants to determine whether the region of the country in which a resident lives is associated with the level of education. She randomly selects 1804 residents of the country and asks them to disclose the region in which they reside and their level of education. Select one: a. Chi-Square Goodness of Fit Test b. Chi-Square Test of Independence c. Chi-Square Test of Homogeneity d. One-Way ANOVA O e. Two-Way ANOVA

f. Simple Linear Regression g. Multiple Linear Regression