Marketing Research 4202 Exam 2

Which one of the following is NOT TRUE above when ANOVA can be used? a. When the DV is continuous and there is one IV that is categorical b. When the DV is continuous and there are more than one IVs that are categorical c. When the DV is categorical and there is one IV that is continuous d. (a) and (b) e. all of the above - they are all true

c) When the DV is categorical and there is one IV that is continuous

You are interested in understanding the factors that contribute to your sales. You have measures of advertisement spending, whether a promotion was present or not and the price charged for your product. You want to see whether sales is affected by these marketing variables. Which analyses method would you use? a. ANOVA b. paired t-test c. multiple regression d. correlation d. none of the above

c) multiple regression

Which one of the following is NOT true about correlations? a. Correlation coefficient varies between -1 and 1. b. Correlation measures the direction and strength of association c. Statistically equivalent to simple regression d. a and b e. None - all of them are true of the above

e) None- all of them are tre of the above

Two Variables Type of DV: Continuous Type of IV: Categorical Analyses:

-Independent sample t-test (if two groups) -ANOVA(if two or more groups) -Regression(if dummy coded)

Two Variables Both Continuous Analyses:

-Paired t-test (if comparing means) -Correlation (if testing association)

One Variable Type of Variable: Categorical Analyses:

Chi Square

Two variables Type of DV: Categorical Type of IV: Categorical Analyses:

Chi square

You are interested in whether your product is more positively evaluated by different ethnic groups (Caucasian, African American, Asian American, Latin American, Other). You ask your respondents to indicate their ethnicity and to indicate whether or their evaluation of the product (on a 7-point scale). What test would you conduct to determine whether different ethnicities are equally interested in buying your magazine? a. paired t-test b. independent samples t-test c. Chi-square d. ANOVA e. regression

D) ANOVA

One Variable Type of Variable: Continuous Analyses:

One Sample t- test

Two variables Type of DV: Continuous Type of IV: Continuous Analyses:

Regression (simple?)

True or False: chi-square test is used when we are testing the relationship between two categorical variables. a. TRUE b. FALSE

a) TRUE

True or False: Adjusted R2 is preferrable to R2 when there are more than 4 variables in a multiple regression model. a. TRUE b. FALSE

a) True

The exact probability of getting a computed test statistic that was largely due to chance is referred to as the______________. a. p-value b. chi-square value c. z-test value d. median value e. none of the above

a) p-value

In a regression, we can test the predictive value of each variable in the model. If there are three variables in the model, what would be the null hypotheses: a. t1, t2 , t3 = 0 . b. t1 ¹ t2 ¹ t3 c. t1 - t2 - t3 = 0 d. t1 = t2 = t3 .

a) t1, t2, t3 = 0

A simple regression: a. Takes a continuous dependent variable b. Takes a categorical dependent variable c. Takes a continuous independent variable d. a and c e. none of the above

d) a and c

Which of the following techniques is not appropriate when using categorical independent variables? a. regression analysis b. ANOVA c. independent sample t-test d. all are appropriate

d) all are appropriate

The change in the dependent variable given a one-unit change in the independent variable is expressed by the ________________. a. coefficient of determination b. correlation coefficient c. coefficient of covariation d. regression coefficient e. none of the above

d) regression coefficient

TRUE or FALSE: An ANOVA is the best choice if we are interested in testing the interaction between two continuous independent variables. a. TRUE b. FALSE

b) False

TRUE or FALSE: When interpreting an ANOVA, we use a t-test. a. TRUE b. FALSE

b) False

Imagine that I am trying to understand if gender influences political involvement. To examine that question, I collect data from 200 college students, asking their likelihood to vote in the upcoming elections. The resulting data includes gender (coded 0/1) and intention to vote (on a 1-7 scale). Which test should I run? a. One sample t-test b. Independent sample t-test c. Paired t-test d. Chi-square e. none of the above

b) Independent sample t-test

Imagine that I have collected data on likelihood to vote (on a 1 - 7 scale) and would like to know if, on average, my sample is likely to vote. Which test should I be run? b. One sample t-test c. Independent sample t-test d. Paired t-test e. Chi-square f. none of the above

b) One sample t-test

Which of the following is a null hypothesis that is appropriate for SPSS? a. There is a gender difference in choice of Mac's and PC's b. There is no gender difference choice of Mac's and PC's c. Men choose Mac's over PC's at least as much as woman do. d. Men choose Mac's over PC's less than woman do. e. all of the above

b) There is no gender difference choice of Mac's and PC's

Multicollinearity is: a. When independent and the dependent variable are highly correlated b. When the independent variables are highly correlated c. When the dependent variables are highly correlated d. a and b e. b and c

b) When the independent variables are highly correlated

True or False: All three types of t-tests examine the relationship between two distinct variables. a. TRUE b. FALSE

b) false

. Y * * * * * * * * X Given this plot, which of the following provides the best description? a. perfect linear association b. strong non-linear association c. u-shape association d. no association e. weak negative association

b) strong non-linear association

How is hypothesis testing in SPSS different than doing so manually? a. SPSS uses different method to calculate the statistics b. The null (alternative) hypothesis is always about strict equality (non-equality) c. We no longer use p-values to assess significance d. none of the above all of the above

b) the null (alternative) hypothesis is always about strict equality (non-equality)

Which of the following is not correct about a null hypothesis? a. It states the results that is expected to be NOT true for the population b. It is often about status quo or no effect c. It can NOT include equality[MSA1] d. It states the hypothesis we aim to reject e. none of the above - they are all correct

c) It can NOT include equality

As a part of this survey, I also asked my participants how likely would they be to vote for a Republican candidate (on a 1-7 scale) AND how would they be to vote for a Democratic candidate (on a 1-7 scale). Now, I want to know if participants on average prefer a Democratic candidate over a Republican one. Which test should I be run? a. One sample t-test b. Independent sample t-test c. Paired t-test d. Chi-square e. none of the above

c) Paired t-test

An ANOVA, where there are two independent variables will have a. One null hypothesis b. Two null hypotheses c. Three null hypotheses d. Four null hypotheses e. none of the above

c) Three null hypotheses