Solutions Manual to Accompany
Essentials of Statistics for Business and Economics
Fourth Edition
David R. Anderson
University of Cincinnati
Dennis J. Sweeney
University of Cincinnati
Thomas A. Williams
Rochester Institute of Technology
Thomson Business an
Chapter 13 Multiple Regression
Learning Objectives 1. Understand how multiple regression analysis can be used to develop relationships involving one dependent variable and several independent variables. Be able to interpret the coefficients in a multiple
Chapter 12 Simple Linear Regression
Learning Objectives 1. Understand how regression analysis can be used to develop an equation that estimates mathematically how two variables are related. Understand the differences between the regression model, the regr
Chapter 11 Statistical Inference about Means and Proportions with Two Populations
Learning Objectives 1. Be able to develop interval estimates and conduct hypothesis tests about the difference between the proportions of two populations. Know the propertie
Chapter 10 Comparisons Involving Means
Learning Objectives 1. Be able to develop interval estimates and conduct hypothesis tests about the difference between two population means when 1 and 2 are known. Know the properties of the sampling distribution of
Chapter 9 Hypothesis Testing
Learning Objectives 1. 2. 3. 4. 5. 6. Learn how to formulate and test hypotheses about a population mean and/or a population proportion. Understand the types of errors possible when conducting a hypothesis test. Be able to det
Chapter 8 Interval Estimation
Learning Objectives 1. Know how to construct and interpret an interval estimate of a population mean and / or a population proportion. Understand and be able to compute the margin of error. Learn about the t distribution and
Chapter 7 Sampling and Sampling Distributions
Learning Objectives 1. Understand the importance of sampling and how results from samples can be used to provide estimates of population characteristics such as the population mean, the population standard dev
Chapter 6 Continuous Probability Distributions
Learning Objectives 1. Understand the difference between how probabilities are computed for discrete and continuous random variables. Know how to compute probability values for a continuous uniform probabilit
Chapter 5 Discrete Probability Distributions
Learning Objectives 1. 2. 3. Understand the concepts of a random variable and a probability distribution. Be able to distinguish between discrete and continuous random variables. Be able to compute and interpre
Chapter 4 Introduction to Probability
Learning Objectives 1. 2. 3. Obtain an appreciation of the role probability information plays in the decision making process. Understand probability as a numerical measure of the likelihood of occurrence. Know the thr
Chapter 3 Descriptive Statistics: Numerical Methods
Learning Objectives 1. 2. 3. 4. Understand the purpose of measures of location. Be able to compute the mean, median, mode, quartiles, and various percentiles. Understand the purpose of measures of variab
Chapter 2 Descriptive Statistics: Tabular and Graphical Methods
Learning Objectives 1. Learn how to construct and interpret summarization procedures for qualitative data such as : frequency and relative frequency distributions, bar graphs and pie charts.
Chapter 1 Data and Statistics
Learning Objectives 1. 2. Obtain an appreciation for the breadth of statistical applications in business and economics. Understand the meaning of the terms elements, variables, and observations as they are used in statistics.
CHAPTER FOUR INTRODUCTION TO PROBABILITY MULTIPLE CHOICE QUESTIONS In the following multiple choice questions, circle the correct answer. 1. Of five letters (A, B, C, D, and E), two letters are to be selected at random. How many possible selections are th
CHAPTER THREE DESCRIPTIVE STATISTICS II: NUMERICAL METHODS MULTIPLE CHOICE QUESTIONS In the following multiple choice questions, circle the correct answer. 1. A numerical value used as a summary measure for a sample, such as sample mean, is known as a a.