MKTG 415-Final Exam
Hypothesis testing starts by assuming that the [ ] is true. A) Null hypothesis B) Alternative hypothesis
A
The threshold for a P-value that determines when we reject a null hypothesis is called the A) alpha level. B) power. C) beta level. D) confidence interval
A
When a researcher rejects the null hypothesis when in fact it is true, s/he commits [ ]. A) Type-I error B) Type-II error
A
Which of the following cases is called statistically significant? A) When obtained P-value falls below the alpha-level. B) When alpha-level falls below the P-value. C) When alpha-level is low enough. D) When P-value is high enough.
A
Which of the following is correct description for Cluster analysis? A) It identifies prototypical customer profiles (segments) B) It finds latent psychological drivers C) It reduces dimension of data D) It reduce redundancies in data
A
Which of the following is the appropriate statistical test when examining cross-tabulations (or, cross-tabs)? A) chi-square test B) t-test C) z-test D) one-way ANOVA
A
Which of the following tests is the right method to use when the hypothesis involves two discrete variables? A) Chi-square test B) t-test C) ANOVA
A
Test if there is a relationship between the likelihood of your brand being on in-store display and the market region. Which test do you think is the best to test this hypothesis? A) Chi-square test B) t-test C) ANOVA D) Regression
B
We commit a Type II error when we reject the null hypothesis when it is true. A) True B) False
B
Which of the following basic data analyses can be done with discrete data? A) Descriptive statistics B) Frequency tables C) Histograms D) Box plots
B
Which of the following statements is NOT correct about regression analysis? A) Regression analysis shows direction of relationship (positive and negative) between variables. B) Regression analysis shows causal relationship between variables. C) Regression analysis shows magnitude of relationship between variables. D) Regression analysis shows whether there is a relationship between variables or not.
B
A brand manager is interested in testing if there is any difference in sales of the brand among four market regions . Which test should s/he use? A) t-test B) chi-square test C) one-way ANOVA D) z-test
C
A regression analysis of employee salaries and years of service to the company found R2 = 0.311. Which of the following is true? I. The correlation between employee salary and years of service to the company is 0.311. II. 31.1 % of employee salaries can be correctly predicted with this model. III. 31.1% of the variance in employee salaries can be accounted for by the model. A)I only B) II only C) III only D) II and III
C
I have measured GPA on a continuous scale and want to tell if there are differences based on B-school students' major: Marketing, Accounting, Management and Finance (assume these categories are mutually exclusive). Which analytical technique is my best choice? A) Chi-square test B) T-test C) One-Way ANOVA D) Cross-tabs
C
Which of the following is NOT a correct description of summary statistics? A) Mean indicates what the central value is. B) High standard deviation indicates that values are widely spread from the center. C) Low variance indicates that values are widely spread from the center. D) Low standard deviation indicates values locate around the central value.
C
Which of the following scales generates discrete data? A) Interval scale B) Ratio scale C) Nominal scale D) None of the above
C
Which of the following statement is NOT correct about describing hypotheses? A) Alternative hypothesis is the hypothesis that the researchers claim. B) Null hypothesis is opposite of the alternative hypothesis. C) Statistical test is usually on alternative hypothesis which may or may not be rejected based on empirical evidence. D) Null hypothesis and alternative hypothesis are mutually exclusive.
C
Which of the following statements is NOT correct? A) P-value is the probability of seeing the observed data given the null hypothesis. B) Alpha level is the threshold for the P-value. C) Alpha level is the probability of seeing the observed data given the null hypothesis. D) If P-value falls below the threshold, we call such results statistically significant.
C
Which of the following statements related to regression is NOT correct? A) Slope represents change in the value of the dependent variable for one unit change in the value of the independent variable. B) Intercept represents the value of the dependent variable when the independent variable is equal to 0. C) Intercept represents change in the value of the dependent variable for one unit change in the value of the independent variable.
C
Which of the following tests is the right methods when you need to compare multiple groups on a continuous dependent variable? A) Chi-square test B) t-test C) ANOVA
C
Hypothesis testing is a claim about [ ]. A) Sample statistics B) Population statistics C) Sample parameter D) Population parameter
D
Which of the following basic data analyses can be done with continuous data? A) Frequency tables B) Pie charts C) Cross tabs D) Descriptive statistics
D
Which of the following is NOT a correct description of Factor analysis? A) It reduces redundancies in survey items B) It creates uncorrelated super variables C) It reduces dimensions in your data D) Identify prototypical customer profiles (segments)
D
Which of the following statement is NOT correct about R squared? A) R-squared is the percentage of the response variable variation that is explained by a linear model. B) R-squared is a statistical measure of how close the data are to the fitted regression line. C) R-squared is the proportion of explained variation out of total variation. D) R-squared represents change in the value of the dependent variable for one unit change in the value of the independent variable
D