Marketing Research Ch 12.

C

A frequency distribution that depends on two sets of degrees of freedom is called a(n) ________. A) p distribution B) t distribution C) F distribution D) z distribution E) chi-square distribution

A

A hypothesis test using the t distribution, which is used when the standard deviation is unknown and the sample size is small, is called the ________. A) t-test B) F-test C) p-test D) z-test E) k-means test

B

A procedure for deriving a mathematical relationship, in the form of an equation, between a single metric dependent variable and a single metric independent variable is called ________. A) univariate regression B) bivariate regression C) multivariate regression D) parallel regression

A

A statistic summarizing the strength of association between two metric variables is called the ________. A) product moment correlation B) covariance correlation C) inverse correlation D) bivariate correlation E) F-statistic Answer: A

C

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called ________. A) causation B) analysis of variance C) correlation D) deviation E) standard deviation

A

A test for differences in the means of paired samples is called the ________. A) paired samples t-test B) paired samples F-test C) paired samples p-test D) paired samples z-test E) paired samples ratio test

D

A(n) ________ is a hypothesis test using the standard normal distribution. A) F-test B) p-test C) t-test D) z-test E) chi-square test

C

A(n) ________ is commonly used for the purpose of providing inferences for making statements about the means of parent populations. A) F-test B) p-test C) t-test D) z-test E) chi-square test

B

A(n) ________ of sample variance may be performed if it is not known whether the two populations have equal variance. A) p-test B) F-test C) t-test D) z-test E) chi-square test

C

According to the text, hypotheses related to differences in population means if the population variance is unknown can be tested using the ________. A) F distribution B) p distribution C) t distribution D) z distribution E) chi-square distribution

D

According to the text, samples drawn randomly from different populations are termed ________. A) dependent samples B) parallel samples C) exclusive samples D) independent samples E) divergent samples

C

According to the text, the ________ can be conducted on the means of one sample or two samples of observations. A) F-test B) p-test C) t-test D) z-test E) k-means test

D

According to the text, the ________ measures the linear association between two metric variables. A) regression analysis coefficient B) covariance coefficient C) analysis of variance coefficient D) product moment correlation coefficient E) F-statistic

D

According to the text, the beta coefficient is also called the ________. A) beta factor B) beta variable C) beta element D) beta weight E) beta carotene

B

According to the text, the t distribution is similar to the ________ in appearance. A) parallel distribution B) normal distribution C) vertical distribution D) horizontal distribution E) chi-square distribution

D

All of the following are types of tests of differences EXCEPT ________. A) one sample B) two independent samples C) paired samples D) unitary samples E) All are types of tests of differences.

D

Examples of hypotheses related to paired samples include all of the following EXCEPT ________. A) shoppers consider brand name to be more important than price while purchasing fashion clothing B) households spend more money on pizza than they do on hamburgers C) the proportion of households who subscribe to a daily newspaper exceeds the proportion subscribing to magazines D) the new service plan will be preferred by at least 70 percent of the customers E) the proportion of a bank's customers who have a checking account exceeds the proportion who have a savings account

B

If the probability of F is greater than the significance level α, ________ and ________ should be used. A) H0 is rejected; t based on "equal variances not assumed" B) H0 is not rejected; t based on "equal variances assumed" C) H0 is rejected; t based on "equal variances assumed" D) H0 is not rejected; t based on "equal variances not assumed" E) H1 is not rejected; t based on "equal variances not assumed"

C

In many marketing research applications, the observations for two groups are not selected from independent samples. Rather, the observations relate to ________ in that the two sets of observations relate to the same respondents. A) distributed samples B) independent samples C) paired samples D) random samples E) divergent samples

A

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the ________. A) coefficient of multiple determination B) variance C) standard error of the mean D) standard deviation E) squared deviation

D

In the case of conducting the t-test on the means of two samples of observations, the samples can be ________ or ________. A) independent; random B) random; exclusive C) exclusive; dependent D) independent; paired E) set-up; breakdown

B

The ________ coefficient is the slope obtained by the regression of y on x when the data are standardized. A) random regression B) standardized regression C) bipolar regression D) alternate regression E) alpha

B

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known (or assumed to be known) and the population variance is estimated from the sample. A) F statistic B) t statistic C) z statistic D) all of the above E) none of the above

C

The ________ is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known, and the population variance is estimated from the sample. A) a statistic B) p statistic C) t statistic D) z statistic E) bell statistic

C

The ________ is a symmetric bell-shaped distribution that is useful for small sample testing. A) F distribution B) p distribution C) t distribution D) z distribution E) chi-square distribution

A

The ________ is computed as the ratio of two sample variances. A) F statistic B) p statistic C) t statistic D) z statistic E) chi-square statistic

B

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables. A) covariance correlation B) product moment correlation C) inverse correlation D) bivariate correlation E) F-statistic

C

The most popular parametric test is the ________ conducted for examining hypotheses about means. A) F-test B) p-test C) t-test D) z-test E) parametric test

E

The product moment correlation is also referred to as all of the following EXCEPT ________. A) simple correlation B) bivariate correlation C) correlation coefficient D) Pearson correlation E) F-statistic

A

The strength of association is measured by the ________. A) coefficient of determination B) regression equation C) correlation coefficient D) F factor E) F-statistic

D

The t statistic is calculated by assuming that all of the following exists EXCEPT that the ________. A) variable is normally distributed B) mean is known C) population variance is estimated from the sample D) sample size is large E) All are assumptions used with the t statistic.

B

The term used to denote the standardized regression coefficient is called the ________. A) alpha coefficient B) beta coefficient C) gamma coefficient D) theta coefficient E) pi coefficient

B

The two sets of degrees of freedom in which the F distribution depends on are the degrees of freedom in the ________ and the degrees of freedom in the ________. A) sample; questionnaire B) numerator; denominator C) variance; standard deviation D) t-test; F-test E) matrix; contingency table

A

Two samples that are not experimentally related are called ________. A) independent samples B) dependent samples C) parallel samples D) exclusive samples E) non-experimental samples

B

Which of the following is NOT an example of a statement that is about a single variable against a known or given standard? A) The market share for the new product will exceed 15 percent. B) The proportion of households with an Internet connection in the United States exceeds the proportion of those in Germany. C) At least 65 percent of customers will like the new package design. D) The average monthly household expenditure on groceries exceeds $500. E) The new service plan will be preferred by at least 70 percent of the customers.

E

Which of the following is the first step in hypothesis testing based on the t statistic? A) Select the appropriate formula for the t statistic. B) Take one or two samples and compute the mean. C) Select a significance level α for testing. D) Refer to statistical tables. E) Formulate the null (H0) and the alternative (H1) hypotheses.

C

Which of the following statistics indicates the degree to which the variation in one variable, X, is related to the variation in another variable, Y? A) covariance correlation B) inverse correlation C) product moment correlation D) multiple regression E) F-statistic

C

Which statement is NOT true concerning the t distribution? A) Compared to the normal distribution, the t distribution has more area in the tails and less in the center. B) As the number of degrees of freedom increases, the t distribution approaches the normal distribution. C) The t distributions are skewed to the left. D) The population variance is unknown and is estimated by the sample variance s2. E) All are true.

B

________ are hypothesis testing procedures that assume the variables of interest are measured on at least an interval scale. A) Non-parametric tests B) Parametric tests C) Parallel tests D) Regression tests E) Interval tests

A

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable. A) Bivariate regression B) Standard deviation C) Standard error of the mean D) Analysis of variance E) Functional linear analysis

D

________ involves a single dependent variable and two or more independent variables. A) Analysis of variance B) Factor analysis C) Correlation analysis D) Multiple regression E) Canonical correlation

B

________ involves testing the significance of the overall regression equation as well as specific partial regression coefficients. A) Correlation analysis B) Significance testing C) Regression analysis D) Factor analysis E) Residual analysis

A

________ is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables. A) Regression analysis B) Covariance analysis C) Deviation analysis D) Correlation analysis E) Functional linear analysis

D

________ is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable. A) Product moment correlation B) Standard regression C) Factor analysis D) Multiple regression E) Canonical correlation

B

________ may be desirable because it is easier to compare the beta coefficients than it is to compare the raw coefficients. A) Covariance B) Standardization C) Correlation D) Regression E) Analysis of variance

B

________ tests provide inferences for making statements about the means of parent populations. A) Non-parametric tests B) Parametric tests C) Parallel tests D) Regression tests E) Parent population tests