Chapter 1
Data And Statistics
Supplementary Exercises | p.21 |
Introduction to Statistics for Business and Economics Workbook 1 (Version 1.0) Peter Dalley. Although I am widely distributing a PDF file, I have gone to great effort to make a fully. Students of a first year course in Statistics for Business and Economics were asked to rate their. 6 Statistics for Business and Economics two, three, or four bedrooms. Because the data for the bedroom variable can only assume specifi c values, this is a discrete variable. Continuous data can assume any value within a reasonable range; for example, the number of square feet in a home such as a small condo with 901.5 square feet or a. Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple “canned” applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.
Chapter 2
Descriptive Statistics: Tabular And Graphical Presentations
2.1 | Summarizing Categorical Data | Exercises | p.36 |
2.2 | Summarizing Quantitive Data | Exercises | p.45 |
2.3 | Exploratory Data Analysis: The Stem-and-Leaf Display | Exercises | p.52 |
2.4 | Cross Tabulations and Scatter Diagrams | Exercises | p.59 |
Supplementary Exercises | p.65 |
Test-bank-for-statistics-for-business-and-economics-13th-edition-by-mcclave-ibsn-361.pdf this is a recommendation for you to get both solutions manual, test bank from them ( using search box you can search many other books). Drawing from the authors’ unmatched experience as professors and consultants, STATISTICS FOR BUSINESS AND ECONOMICS, 13E delivers sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in actual business practice.
Chapter 3
Descriptive Statistics: Numerical Measures
3.1 | Measures of Location | Exercises | p.92 |
3.2 | Measures of Variability | Exercises | p.100 |
3.3 | Measures of Distributions Shape, Relative Location, Detecting Outliners | Exercises | p.107 |
3.4 | Exploratory Data Analysis | Exercises | p.112 |
3.5 | Measures of Association Between Two Variables | Exercises | p.122 |
3.6 | The Weighted Mean and Working with Grouped Data | Exercises | p.128 |
Supplementary Exercises | p.133 |
Chapter 4
Introduction To Probability
4.1 | Experiments, Counting Rules, and Assigning Probabilities | Exercises | p.158 |
4.2 | Events and Their Probabilities | Exercises | p.162 |
4.3 | Some Basic Relationships of Probability | Exercises | p.169 |
4.4 | Conditional Probability | Exercises | p.175 |
4.5 | Bayes' Theorem | Exercises | p.183 |
Supplementary Exercises | p.186 |
Chapter 5
Discrete Probability Distributions
5.1 | Random Variables | Exercises | p.196 |
5.2 | Discrete Probability Distributions | Exercises | p.200 |
5.3 | Expected Value and Variance | Exercises | p.204 |
5.4 | Binomial Probability Distribution | Exercises | p.216 |
5.5 | Poisson Probability Distributions | Exercises | p.220 |
5.6 | Hypergeometric Probability Distribution | Exercises | p.223 |
Supplementary Exercises | p.227 |
Chapter 6
Continuous Probability Distributions
6.1 | Uniform Probability Distribution | Exercises | p.237 |
6.2 | Normal Probability Distributions | Exercises | p.248 |
6.3 | Normal Approximation of Binomial Probabilities | Exercises | p.252 |
6.4 | Exponential Probability Distributions | Exercises | p.256 |
Supplementary Exercises | p.258 |
Chapter 7
Sampling And Sampling Distributions
7.2 | Selecting a Sample | Exercises | p.272 |
7.3 | Point Estimation | Exercises | p.275 |
7.5 | Sampling Distribution of x | Exercises | p.287 |
7.6 | Sampling Distribution of p | Exercises | p.293 |
Supplementary Exercises | p.302 |
Chapter 8
Interval Estimation
8.1 | Population Mean: o Known | Exercises | p.314 |
8.2 | Population Mean: o Unknown | Exercises | p.323 |
8.3 | Determining the Sample Size | Exercises | p.327 |
8.4 | Population Proportion | Exercises | p.331 |
Supplementary Exercises | p.335 |
Chapter 9
Hypothesis Tests
9.1 | Developing Null and Alternative Hypotheses | Exercises | p.353 |
9.2 | Type I and Type II Errors | Exercises | p.355 |
9.3 | Population Mean: o Known | Exercises | p.367 |
9.4 | Population Mean: o Unknown | Exercises | p.374 |
9.5 | Population Proportion | Exercises | p.379 |
9.7 | Calculating the Probability of Type II Errors | Exercises | p.385 |
9.8 | Determining the Sample Size for a Hypothesis Test About a Population Mean | Exercises | p.390 |
Supplementary Exercises | p.393 |
Chapter 10
Statistics For Business And Economics Pdf 13e
Inference About Means And Proportions With Two …
10.1 | Inferences About the Difference Between Two Population Means: a1 and a2 Known | Exercises | p.412 |
10.2 | Inferences About the Difference Between Two Population Means: a1 and a2 Unknown | Exercises | p.420 |
10.3 | Inferences About the Differences Between Two Populations Means: Matched Samples | Exercises | p.426 |
10.4 | Inferences About the Difference Between Two Population Properties | Exercises | p.433 |
Supplementary Exercises | p.438 |
Chapter 11
Inferences About Population Variances
11.1 | Inferences About a Population Variance | Exercises | p.457 |
11.2 | Inferences About Two Population Variances | Exercises | p.465 |
Supplementary Exercises | p.467 |
Chapter 12
Tests Of Goodness Of Fit And Independence
12.1 | Goodness of Fit Test: A multinomial Population | Exercises | p.477 |
12.2 | Test of Independence | Exercises | p.483 |
12.3 | Goodness of Fit Test: Poisson and Normal Distributions | Exercises | p.495 |
Supplementary Exercises | p.497 |
Chapter 13
Experimental Design And Analysis Of Variance
13.2 | Analysis of Variance and the Completely Randomized Design | Exercises | p.521 |
13.3 | Multiple Comparison Procedures | Exercises | p.528 |
13.4 | Randomized Block Design | Exercises | p.535 |
13.5 | Factorial Experiment | Exercises | p.542 |
Supplementary Exercises | p.547 |
Chapter 14
Simple Linear Regression
14.2 | Least Square Method | Exercises | p.569 |
14.3 | Coefficient of Determination | Exercises | p.580 |
14.5 | Testing for Significance | Exercises | p.592 |
14.6 | Using the Estimation Regression Equation for Estimation and Prediction | Exercises | p.598 |
14.7 | Computer Solution | Exercises | p.601 |
14.8 | Residual Analysis: Validating Model Assumptions | Exercises | p.612 |
14.9 | Residual Analysis: Outliers and Influential Observations | Exercises | p.619 |
Supplementary Exercises | p.625 |
Chapter 15
Multiple Regression
15.2 | Least Square Method | Exercises | p.649 |
15.3 | Multiple Coefficient of Determination | Exercises | p.655 |
15.4 | Model Assumptions | Exercises | p.663 |
15.6 | Using the Estimated Regression Equations for Estimation and Prediction | Exercises | p.666 |
15.7 | Categorical Independent Variables | Exercises | p.673 |
15.8 | Residual Analysis | Exercises | p.681 |
15.9 | Logistic Regression | Exercises | p.692 |
Supplementary Exercises | p.698 |
Chapter 16
Regression Analysis: Model Building
16.1 | General Linear Model | Exercises | p.725 |
16.2 | Determining When to Add or Delete Variables | Exercises | p.732 |
16.4 | Variable Selection Procedures | Exercises | p.743 |
16.5 | Multiple Regression Approach to Experimental Design | Exercises | p.748 |
16.6 | Autocorrelation and the Durbin-Watson Test | Exercises | p.753 |
Supplementary Exercises | p.755 |
Chapter 17
Index Numbers
17.2 | Aggregate Price of Indexes | Exercises | p.767 |
17.3 | Computing an Aggregate Price Index from Price Relatives | Exercises | p.770 |
17.5 | Deflating a Series by Price Indexes | Exercises | p.775 |
17.7 | Quantity Indexes | Exercises | p.779 |
Supplementary Exercises | p.781 |
Chapter 18
Time Series Analysis And Forecasting
18.2 | Forecast Accuracy | Exercises | p.796 |
18.3 | Moving Averages and Exponential Smoothing | Exercises | p.804 |
18.4 | Trend Projection | Exercises | p.817 |
18.5 | Seasonality and Trend | Exercises | p.826 |
18.6 | Time Series Decomposition | Exercises | p.837 |
Supplementary Exercises | p.842 |
Chapter 19
Nonparametric Methods
19.1 | Sign Test | Exercises | p.863 |
19.2 | Wilcoxon Signed-Rank Test | Exercises | p.869 |
19.3 | Mann-Whitney-Wilcoxon Test | Exercises | p.879 |
19.4 | Kruskal-Wallis Test | Exercises | p.885 |
19.5 | Rank Correlation | Exercises | p.889 |
Supplementary Exercises | p.893 |
Chapter 20
Statistical Methods For Quality Control
20.2 | Statistical Process Control | Exercises | p.920 |
20.3 | Acceptance Sampling | Exercises | p.930 |
Supplementary Exercises | p.933 |
Chapter 21
Decision Analysis
21.2 | Decision Making with Probabilities | Exercises | p.945 |
21.3 | Decision Analysis with Sample Information | Exercises | p.956 |
21.4 | Computing Branch Probabilities Using Bayes' Theorem | Exercises | p.963 |
Supplementary Exercises | p.966 |
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