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Introduction to Business Analytics Exam

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Course Introduction

Introduction to Business Analytics provides students with a comprehensive overview of how data-driven decision-making can enhance business performance. The course covers fundamental concepts, tools, and techniques for analyzing business data, including descriptive, predictive, and prescriptive analytics. Students will learn to use statistical methods and business intelligence software to interpret data, draw actionable insights, and solve real-world business problems. Practical examples and case studies across industries illustrate how analytics supports strategic planning, operational efficiency, and competitive advantage. This foundational course prepares students for further study or careers in business analytics and related fields.

Recommended Textbook

Business Statistics in Practice 7th Edition by Bruce

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9 Chapters

1039 Verified Questions

1039 Flashcards

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Bowerman

Chapter 11: Statistical Inferences for Population Variances

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43 Verified Questions

43 Flashcards

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Sample Questions

Q1) When comparing the variances of two normally distributed populations using independent random samples,if \(s _ { 1 } ^ { 2 } = s _ { 2 } ^ { 2 }\) the calculated value of F will always be equal to one.

A)True

B)False

Q2) Consider an engine parts supplier,and suppose the supplier has determined that the mean and variance of the population of all cylindrical engine part outside diameters produced by the current machine are,respectively,2.5 inches and .00075.To reduce this variance,a new machine is designed.A random sample of 20 outside diameters produced by this new machine has a sample mean of 2.5 inches and a variance of s2 = .0002 (normal distribution).In order for a cylindrical engine part to give an engine long life,the outside diameter must be between 2.43 and 2.57 inches.If 2 denotes the variance of the population of all outside diameters that would be produced by the new machine,test H0: 2 = .00075 versus Ha: 2 < .00075 by setting = .05.

Q3) What is the value of the computed F statistic for testing equality of population variances where s12 = .004 and s22 = .002? Consider HA: 12 > 22

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Page 3

Chapter 12: Experimental Design and Analysis of Variance

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114 Verified Questions

114 Flashcards

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Sample Questions

Q1) In a 2-way ANOVA,if factor 1 has 'a' levels and factor 2 has 'b' levels,then there are a total of _______ treatments.

A)a + b

B)a × b

C)|a - b|

D)a/b

E)a

Q2) A researcher has used a one-way analysis of variance model to test whether the average starting salaries differ among recent graduates from the nursing,engineering,business,and education disciplines.She has randomly selected four graduates from each of the four areas. If MSE = 4,and SSTO = 120,complete the following ANOVA table and determine the value of the F statistic.

Q3) If sample mean plots look essentially parallel,we can intuitively conclude that there is an interaction between the two factors.

A)True

B)False

Q4) Consider the one-way ANOVA table.

Q5) Consider the following one-way ANOVA table.

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Chapter 13: Chi-Square Tests

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120 Verified Questions

120 Flashcards

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Sample Questions

Q1) At a recent meeting of educational researchers,comparisons were made between the type of college that freshmen attend and the numbers who drop out.A random sample of freshmen shows the following results:

Q2) A study of car accidents and drivers who use cell phones collects the following sample data.

Q3) AAA Co.operates distribution centers in the Midwest.Three of their centers were recently audited to determine if they are in compliance with company standard billing procedures.According to the auditing firm,a billing had an equal probability of being from each of the three centers.A random sample of the audited billings had the following distribution:

Center 1: 385 billings

Center 2: 305 billings

Center 3: 210 billings What is the expected value of the number of billings for each center if H0 (equal probabilities)is true?

Q4) A study of car accidents and drivers who use cell phones collects the following sample data.

Q5) The following frequency table summarizes the ages of 60 shoppers at the local grocery store.

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Chapter 14: Simple Linear Regression Analysis

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147 Flashcards

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Sample Questions

Q1) The dependent variable is the variable that is being described,predicted,or controlled.

A)True

B)False

Q2) Which of the following is a violation of one of the major assumptions of the simple regression model?

A)The error terms are independent of each other.

B)A histogram of the residuals forms a bell-shaped,symmetrical curve.

C)The error terms show no pattern.

D)As the value of x increases,the value of the error term also increases.

Q3) The least squares simple linear regression line minimizes the sum of the vertical deviations between the line and the data points.

A)True

B)False

Q4) An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.

Q5) Use the following results obtained from a simple linear regression analysis with 12 observations.

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Chapter 15: Multiple Regression and Model Building

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154 Flashcards

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Sample Questions

Q1) Below is a partial multiple regression ANOVA table.

Q2) The graph of the prediction equation obtained from the model \(\mathrm { y } = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 1 } ^ { 2 } + \varepsilon\)

Is a(n)____________.

A)Line

B)Plane

C)Parabola

D)Exponential curve

Q3) The y intercept ( 0)in a multiple regression model represents the estimated value of the __________ variable,when the value of all independent variables are _________.

A)Response,one

B)Dummy,zero

C)Response,zero

D)Dummy,one

Q4) Consider the following partial computer output for a multiple regression model.

Q5) Consider the following partial computer output for a multiple regression model.

Q6) Below is a partial multiple regression ANOVA table.

Q7) Below is a partial multiple regression computer output.

Page 7

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Chapter 16: Time Series Forecasting and Index Numbers

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157 Flashcards

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Sample Questions

Q1) The ___________ test is a test for first-order positive autocorrelation.

A)Durbin-Watson

B)MSD

C)MAD

D)Multiplicative Winters

Q2) Consider the regression equation

Q3) Consider a time series with 15 quarterly sales observations.Using the quadratic trend model,the following partial computer output was obtained.

Q4) Use the following price information for three grains.

Q5) Based on the quarterly production data (in thousands of units)for the XYZ manufacturing company,the average seasonal factor

Q6) A time series decomposition method would not be used to forecast seasonal data.

A)True

B)False

Q7) The following data on prices and quantities for the years 1995 and 2000 are given for three products.

Q8) Given the following data,compute the mean absolute deviation.

Page 8

Q9) Use the following price information for three grains.

Q10) Given the following data,compute the mean absolute deviation.

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Chapter 17: Process Improvement Using Control Charts

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115 Flashcards

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Sample Questions

Q1) A control chart on which the proportions of nonconforming units in subgroups of size n are plotted versus time is a(n)_____ chart.

A) \(\overline { \mathrm { X } }\)

B)R

C)p

D)C

Q2) A fastener company produces bolts with a nominal (target)length of 2.00 inches.The specifications are 2.00 ± .006 inches.Determine the upper specification limit and the lower specification limit for this process.

A)[1.982,2.018]

B)[1.94,2.06]

C)[1.994,2.006]

D)[1.99,2.01]

Q3) If a company is using an \(\overline { \mathcal { X } }\) chart for a given process with measurement data,it is generally not important or necessary to use an R chart or s chart.

A)True

B)False

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Chapter 18: Nonparametric Methods

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99 Flashcards

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Sample Questions

Q1) The ______________ test is a nonparametric method that requires data consisting of matched pairs.

A)Wilcoxon rank sum

B)Kruskal-Wallis

C)Wilcoxon signed rank

D)Sign

Q2) A ___________ test is a statistical test that can be used without assuming that the sampled population(s)has/have a particular type of probability distribution.

A)Wilcoxon rank sum

B)Nonparametric

C)Linear regression

D)Correlation

Q3) The __________________ test is a nonparametric counterpart of a small-sample t test for comparing two independent population locations.

A)Wilcoxon rank sum

B)Kruskal-Wallis

C)Wilcoxon signed rank

D)Sign

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Chapter 19: Decision Theory

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90 Verified Questions

90 Flashcards

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Sample Questions

Q1) Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt.The level of demand affects the success of both strategies.The states of nature (SI)represent the levels of demand for the company products.s1,s2,and s3 characterize high,medium,and low demand,respectively.The payoff values are in thousands of dollars.Prior probabilities are .3 for s1;.6 for s2,and .1 for s3.

Q2) Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt.The level of demand affects the success of both strategies.The states of nature (SI)represent the levels of demand for the company products.S1,S2,and S3 characterize high,medium,and low demand,respectively.The payoff values are in thousands of dollars.

Q3) Alternatives 1 and 2 in the following payoff table represent the two possible manufacturing strategies that the EKA manufacturing company can adopt.The level of demand affects the success of both strategies.The states of nature (SI)represent the levels of demand for the company products.S1,S2,and S3 characterize high,medium,and low demand,respectively.The payoff values are in thousands of dollars.

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