Week 
Theme 
Learning Outcomes
(Students will be able to...)

Readings 
Assigned Questions 
1 
A Preview of Business Statistics 
 Demonstrate understanding of key statistical termspopulation, parameter, sample, statistic, descriptive statistics, inferential statistics
 Construct histograms, polygons, and frequency distributions
 Construct relative histograms and frequency distributions

Chapter 1: pp.114
Chapter 2: pp.1524

Text problems: 1.3, 1.4, 1.5, 1.15, 1.21
Text problems: 2.1, 2.2, 2.3, 2.4, 2.5, 2.9, 2.10
Two additional courseware problems.

2 
Statistical Description of Data 
 Construct measures of central tendency – arithmetic mean, median, and mode using ungrouped data
 Classify and interpret skewed right, skewed left, and normal distribution
 Construct measures of dispersion – range, quartiles, standard deviation, and variance using ungrouped data
 Construct the arithmetic mean, standard deviation and variance of grouped data

Chapter 3: pp.5776, 8286, 9195
Omit mean absolute deviation

Text problems: 3.3, 3.4, 3.5, 3.11, 3.19 (a and c), 3.20 (a and c), 3.21(a and c), 3.22(a and c),3.40, 3.41 (assume population data), 3.53, 3.56 (a and c), 3.57 (a and c)
Courseware problems: 1, 2

3 
Probability 
 Compare classical, relative, and subjective approaches to probability
 Use contingency tables and Venn diagrams to problem solve
 Explain addition rule and multiplication rule of probability
 Contrast mutually exclusive, not mutually exclusive, dependent, and independent events
 Assess Binomial probability of events using Excel
 Calculate expected outcome from Discrete Probability Distribution

Chapter 5: pp.133165.
Omit pp 150159
Chapter 6: pp. 175182

Text problems: 5.12, 5.13, 5.15, 5.16, 5.24, 5.25, 5.31, 5.33, 5.38
Text problems: 6.18, 6.19(omit part e), 6.20, 6.21, 6.23, 6.24, 6.25

4 
Continuous Probability Distributions 
 Summarize the nature and application of normal distributions
 Use the standard normal distribution and zscores to determine probabilities associated with normal distribution

Chapter 7: pp. 205223, pp. 237239

Text problems: 7.1, 7.3, 7.4, 7.19, 7.20, 7.21, 7.22, 7.24, 7.25, 7.27, 7.29, 7.30, 7.32, 7.33, 7.66, 7.68, 7.70

5 
Sampling Distributions 
 Show the basics of sampling distributions

Chapter 8: pp. 244253.

Test One – This first test will run for 1.5 hours and is worth 25% of the final grade. After a brief break a lecture will take place.
Text problems: 8.7, 8.8, 8.9

6 
Sampling Distributions (cont’d) 
 Determine the sampling distribution of the mean
 Demonstrate how to calculate the sampling distribution of a proportion
 Explain the central limit theorem and sampling distributions when the population is finite

Chapter 8: pp. 254265

Text problems: 8.10, 8.11, 8.14, 8.18, 8.19 ,8.23, 8.25, 8.26, 8.27, 8.35, 8.37, 8.45, 8.47

7 
Estimation From Sample Data 
 Differentiate between point estimates and interval estimates
 Show how to use standard normal distribution in constructing a confidence interval for a mean and a proportion when sigma is known.
 Analyze when and how to use a “t distribution” in constructing a confidence interval for a population mean
 Choose how large a sample should be taken in order to estimate a population mean or proportion
 Examine computer outputs

Chapter 9: pp.270299, pp. 301307

Text problems: 9.1, 9.2, 9.10, 9.13, 9.14, 9.15,9.16, 9.19, 9.20, 9.21, 9.30, 9.31,
9.32, 9.43, 9.46, 9.60, 9.61,
9.62, 9.63, 9.64
Additional problem to be discussed in class.

8 
Hypothesis Tests Involving a Sample Mean or Proportion 
 Explain the nature of hypothesis testing
 Interpret results of hypothesis tests and determine appropriate business decision
 Identify errors in hypothesis testing
 Develop the basic procedures in hypothesis testing
 Construct onetailed and twotailed hypothesis test for the mean when sigma is known and when sigma is unknown
 Construct and interpret a onetailed or twotailed hypothesis test for a proportion
 Assess the pvalue
 Evaluate minitab outputs

Chapter 10: 309326, 328345, 351353

Text problems: 10.4, 10.14, 10.18,10.19, 10.20, 10.21, 10.22, 10.23, 10.24, 10.25, 10.26, 10.27, 10.30, 10.31, 10.39, 10.40, 10.41, 10.60, 10.61,10.66, 10.67, 10.68, 10.69

9 
Simple Linear Regression 
 Summarize Simple Linear Regression
 Construct a scatter diagram and plot the leastsquares regression line on the diagram
 Determine the leastsquares regression line (the slope and the yintercept)

Chapter 15: pp.551560, pp. 3742

Test Two – This second test will run for 1.5 hours and is worth 25% of final grade. After a brief break a lecture will take place.
Text problems: 15.3, 15.4 15.6, 15.8, 5.9 The instructor will briefly comment on the minitab output shown in the solution to question 9 (method 2).
The instructor will discuss 15.6

10 
Simple Linear Regression (continued) 
 Determine and interpret the coefficient of correlation and the coefficient of determination
 Carry out statistical hypothesis tests involving the slope and the regression line
 Conduct a statistical hypothesis test involving the correlation coefficient
 Examine and interpret statistical Minitab outputs
 Identify and understand Multicollinearity through correlation matrix and Homoscedasticity through residuals

Chapter 15: pp.558575

Text problems: 15.10, 15.21 (a and b only), 15.33, 15.37, 15.38, 15.39, 15.50 (a and b only), 15.49 ( a and b only)
Minitab outputs have been provided in the courseware for problems 15.10, 15.37, 15.38, and 15.39. You are to use the provided outputs to solve these problems. The Minitab outputs should have been provided in the questions given in the text.
Additional problem—see courseware. Minitab output has been provided for this problem.
The instructor will be discussing the outputs.

11 
Multiple Regression and Correlation 
 Interpret the multiple regression equation from statistical outputs
 Validate the significance of the regression equation using a F statistic
 Test the partial regression coefficients using t tests
 Understand and use pvalues to draw statistical conclusions
 Understand multiple regression computer outputs

Chapter 16: pp.600609, pp.615620,
pp. 621624, pp.635637

Text problems:
16.8, 16.11 , 16.12 , 16.13, 16.15, 16.29 (a, b and c), 16.30(a, b ,c) , 16.32, 16.38, 16.44(a, b ,c)
Note: Minitab outputs have been provided in the courseware for problems
16.11,16.12,16.13, 16.15 16.29, 16.30, 16.32, 16.38, 16.44 ,16.32, and 16.44
Minitab outputs will be provided for exam purposes.

12 
Multiple Regression(continued) 
 Complete multiple regression
 Review material for comprehensive final exam



13 

 Comprehensive final exam (40% of final grade).


