Business Development

Q: Recontacting decision makers and/or clients after they have had a chance to read over a research report in order to determine whether additional information or clarification is necessary is called a research _____.

Q: The purpose of the _____ is to highlight the most important findings of a research project and to provide an opportunity to ask questions.

Q: A bar chart that shows how multiple variables are related to the primary variable is called a(n) _____ chart

Q: The typical maximum of slices in a pie chart is _____ slices.

Q: If a table is based on material from one or more secondary sources rather than on new data generated by the project, this should be acknowledged in the table's _____.

Q: _____ contain the captions for the columns in a table.

Q: The diagrams included in the research report that are used to clarify complex points are known as ______.

Q: Any material that is too technical or too detailed should go in the element of the research report called the _____.

Q: The part of the research report body that must explain technical procedures and findings of the research in a manner appropriate for the audience is called the ______ section of the report body

Q: The part of the body of the research report that discusses the specific objectives of the research project is known as the ______ section of the report body.

Q: The last step in the writing of the research report is to write the ______.

Q: The part of a research report that releases or delivers the report to the recipient is called the _____.

Q: The arrangement of the parts of a research report needed to create a good report is known as the ______.

Q: An oral or written statement of the results of the research study, its strategic recommendations, and its other conclusions presented to a specific audience is known as the ______.

Q: In the communication process, the receiver of the research report is known as the ______.

Q: In the communication process, the written report is known as the ______.

Q: In the communication process, the findings of the research report are known as the ______.

Q: In the communication process, the ______ is the writer of the research report.

Q: When a researcher contacts a client after the client has had a chance to review the research report, this is referred to as a(n) _____. A.oral presentation B.letter of transmittal C.letter of approval D.research follow-up

Q: Which of the following highlights the most important findings of a research project and provides clients with an opportunity to ask questions? A.oral presentation B.written report C.bar chart D.pie chart

Q: A researcher wants to show the number of brands of e-readers sold (e.g., Kindle, Nook, etc.) by year for a three-year period. Which type of chart is best to communicate this information? A.pie chart B.line chart C.simple bar chart D.multiple-bar chart

Q: Explain how cluster analysis can identify market segments.

Q: Explain why and how a business researcher uses factor analysis.

Q: Explain how MANOVA models differ from ANOVA models.

Q: List the steps in interpreting a multiple regression model.

Q: Compare and contrast dependence and interdependence techniques. List the statistical techniques for both.

Q: A statistical technique that measures objects in multidimensional space on the basis of respondents' judgments of the similarity of objects is _____.

Q: A multivariate interdependence technique that classifies individuals or objects into a small number of mutually exclusive and exhaustive groups is _____.

Q: A mathematical way of simplifying factor results is _____.

Q: An indication of how strongly a measured variable is correlated with a factor is given by the _____.

Q: The purpose of ______ analysis is to summarize information in a large number of variables into a smaller number of factors.

Q: If the researcher wants to classify objects into two mutually exclusive categories, the researcher should use ______ analysis.

Q: ______ predicts several dependent variables by using several independent variables.

Q: _____ in regression analysis refers to how strongly interrelated the independent variables in a model are.

Q: The test used to test statistical significance by comparing variation explained by the regression equation to the residual error variation is the _____.

Q: A ______ variable has two distinct levels that are coded as 0 and 1.

Q: When an analysis studies the effect of several independent variables on a single dependent variable that is interval-scaled, this is called ______ analysis.

Q: Multivariate dependence techniques are variants of the _____.

Q: Multivariate techniques that try to group things together are known as ______ methods.

Q: The two types of multivariate techniques are ______ methods and ______ methods.

Q: Statistical methods that permit the study of three or more variables at the same time are called ______ statistical analysis.

Q: General Mills would like to "see" a picture of how its brands are perceived by consumers compared to competitive brands. Which statistical technique can measure brands in multidimensional space on the basis of respondents' judgements of the similarity of the brands? A.structural equations modeling B.factor analysis C.multidimensional scaling D.partial positioning

Q: Which mulitvariate techniques measures objects in multidimensional space on the basis of respondents' judgments of the similarity of objects? A.factor analysis B.multidimensional scaling C.structured dimensional modeling D.relative positioning

Q: In cluster analysis, the researcher wants clusters to have high ______ within-clusters and high between-cluster ______. A.independence; dependence B.significance; insignificance C.heterogeneity; homogeneity D.homogeneity; heterogeneity

Q: Which mulitvariate technique groups observations based on similarity among measured variables? A.regression B.cluster analysis C.conjoint analysis D.MANOVA

Q: Which of the following is a measure of the percentage of a variable's variance that is explained by the factors in factor analysis? A.R2 B.variance inflation factor C.partial correlation D.communality

Q: How can a researcher create a composite scale with factor results? A.The researcher can select the items with high R2 values and average them to form a composite scale. B.The researcher can sum the variables with high loadings on a factor to create a summated scale. C.The researcher can sum the variables with high VIF values on a factor to create a summated scale. D.The research can sum the items with high commonality values on a factor to create a summated scale.

Q: Which of the following suggests that an explanation involving fewer components is better than one involving more? A.rule of twos B.rule of parsimony C.data reduction rule D.min-max rule

Q: A mathematical way of simplifying factor analysis results is _____. A.factor loading B.factor reduction C.factor rotation D.factor analysis

Q: If a researcher wants to know how strongly a measured variable is correlated with a factor, what should she look at? A.factor b B.discriminator C.factor link D.factor loading

Q: A researcher has 57 variables in a large dataset and wishes to summarize the information from them into a reduced set of variables. Which multivariate technique should be used? A.factor analysis B.multidimensional scaling C.logit analysis D.regression analysis

Q: Which multivariate analysis statistically identifies a reduced number of factors from a larger number of measured variables? A.factor analysis B.regression C.discriminant analysis D.logit analysis

Q: In discriminant analysis, a linear combination of independent variables that explains group memberships is known as a(n) _____. A.regression equation B.discriminant function C.discriminant factor D.n-way ANOVA

Q: If a bank wants to differentiate between successful and unsuccessful credit risks for home mortgage loans, it should use _____. A.factor analysis B.multidimensional scaling C.MANOVA D.discriminant analysis

Q: Which type of analysis attempts to predict a categorical dependent variable? A.factor analysis B.discriminant analysis C.regression analysis D.linear analysis

Q: If the analysis predicts several continuous dependent variables with several categorical independent variables, the appropriate statistical technique is _____. A.multiple regression B.multiple discriminant analysis C.conjoint analysis D.MANOVA

Q: Which of the following suggests problems with multicollinearity? A.VIF > 5.0 B.b < 3.0 C.Power > 0.8 D.a > 0.8

Q: Which of the following is computed by most regression programs and provide an indication of how much multicollinearity exists among a set of independent variables? A.c2 B.b C.collinear coefficient D.variance inflation factor (VIF)

Q: A researcher is analyzing data and is concerned over how strongly interrelated the independent variables of attitude toward one's employer and attitude toward one's coworkers are in his model. The researcher is concerned about _____. A.multicollinearity B.MANOVA C.degrees of freedom D.convergence

Q: _____ is the extent to which independent variables in a multiple regression analysis are correlated with each other. A.Convergence B.Variance C.Skedacity D.Multicollinearity

Q: In the formula for the F-test in multiple regression, n - k - 1 represents the ____. A.degrees of freedom of the numerator B.number of observations C.degrees of freedom of the denominator D.number of independent variables

Q: In the following formula, k stands for: A.the number of observations B.the degrees of freedom of the denominator C.the number of independent variables D.the sample size

Q: A value of R2 = 0.40 means that _____ percent of the variance in the dependent variable is explained by the independent variables. A.80 B.60 C.40 D.16

Q: If the regression equation is: Y = 98.3 +.35X1 + 22.3X2, the predicted value for Y when X1 = 3 and X2 = 5 is _____. A.118.45 B.210.85 C.67.23 D.98.3

Q: The correlation between two variables after taking into account the fact that they are correlated with other variables too is called _____. A.partial correlation B.standardized correlation C.raw correlation D.variant correlation

Q: A variable that is coded as either zero or one and that has two distinct levels is called a(n) _____. A.regression variable B.dummy variable C.MANOVA variable D.ANOVA variable

Q: Which analysis is portrayed by the equation: Y = bo+ b1X1+ b2X2+ b3X3... + bnXn? A.simple regression B.multiple regression C.chi-square D.factor analysis

Q: When a researcher is attempting to predict sales volume by using building permits, amount of advertising, and the income levels of residents, the researcher is using _____. A.univariate analysis B.a chi-square analysis C.multiple regression analysis D.factor analysis

Q: Mulitvariate dependence techniques are variants of the _____, which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable. A.ordinary linear model (OLM) B.weighted average model (WAM) C.general linear model (GLM) D.metric scaling model (MSM)

Q: Which of the following is an appropriate technique when the inputs are metric? A.cluster analysis B.metric multidimensional scaling C.factor analysis D.all of these choices

Q: If the analysis contains only one dependent variable and that variable is metric, the appropriate statistical analysis is: A.multiple discriminant analysis B.conjoint analysis C.multivariate ANOVA D.multiple regression

Q: Nominal and ordinal scales are examples of ______ scales, while interval and ratio scales are examples of ______ scales. A.metric; co-metric B.nonmetric; metric C.nonmetric; advanced D.metric; continuous

Q: All of the following are examples of interdependence methods of analysis EXCEPT _____. A.factor analysis B.cluster analysis C.multidimensional scaling D.conjoint analysis

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