Business Statistics
Textbook: Business Statistics for Business and Economics (8e), by Lind, Marchal, and Wathan, McGrawHill Irwin, 2013. ISBN: 9780073521473
Lind, Marchal, and Wathen official website
Go to this website for the PPT slides, tutorials, videos, datasets, quizzes, study guides, and other important chapterbychapter information.
TAMU Software Store
McGrawHill Connect
Ztable and Ttables
Binomial tables
Key Formulas
Lind, Marchal, and Wathen official website
Go to this website for the PPT slides, tutorials, videos, datasets, quizzes, study guides, and other important chapterbychapter information.
TAMU Software Store
McGrawHill Connect
Ztable and Ttables
Binomial tables
Key Formulas
CHAPTER MATERIAL
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DATASETS .XLS 2010 files





Chapter 1: What is Statistics?
When you have completed this chapter, you will be able to:
LO 11List ways that statistics is used.
LO 12Know the differences between descriptive and inferential statistics.
LO 13Understand the differences between a sample and a population.
LO 14Explain the difference between qualitative and quantitative variables.
LO 15Compare discrete and continuous variables.
LO 16Recognize the levels of measurement in data.
LO 11List ways that statistics is used.
LO 12Know the differences between descriptive and inferential statistics.
LO 13Understand the differences between a sample and a population.
LO 14Explain the difference between qualitative and quantitative variables.
LO 15Compare discrete and continuous variables.
LO 16Recognize the levels of measurement in data.


Chapter 2: Describing Data: Frequency Tables, Frequency
Distributions, and Graphic Presentation
When you have completed this chapter, you will be able to:
LO 21Make a frequency table for a set of data.
LO 22Organize data into a bar chart.
LO 23Present a set of data using pie chart.
LO 24Create a frequency distribution for a data set.
LO 25Understand a relative frequency distribution.
LO 26Present data from a frequency distribution in a histogram or frequency polygon.
LO 27Construct and interpret a cumulative frequency distribution.
LO 21Make a frequency table for a set of data.
LO 22Organize data into a bar chart.
LO 23Present a set of data using pie chart.
LO 24Create a frequency distribution for a data set.
LO 25Understand a relative frequency distribution.
LO 26Present data from a frequency distribution in a histogram or frequency polygon.
LO 27Construct and interpret a cumulative frequency distribution.






In class exercises:
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Chapter 3: Describing Data: Numerical Measures
When you have completed this chapter, you will be able to:
LO 31Explain the concept of central tendency.
LO 32Identify and compute the arithmetic mean.
LO 33Compute and interpret the weighted mean.
LO 34Determine the median.
LO 35Identify the mode.
LO 36Explain and apply measures of dispersion.
LO 37Compute and explain the variance and the standard deviation.
LO 38Explain Chebyshev’s Theorem and the Empirical Rule.
LO 31Explain the concept of central tendency.
LO 32Identify and compute the arithmetic mean.
LO 33Compute and interpret the weighted mean.
LO 34Determine the median.
LO 35Identify the mode.
LO 36Explain and apply measures of dispersion.
LO 37Compute and explain the variance and the standard deviation.
LO 38Explain Chebyshev’s Theorem and the Empirical Rule.


Chapter 4: Describing Data: Displaying and Exploring Data
When you have completed this chapter, you will be able to:
LO 41 Construct and interpret a dot plot.
LO 42 Identify and compute measures of position.
LO 43 Construct and analyze a box plot.
LO 44 Compute and describe the coefficient of skewness.
LO 45 Create and interpret a scatter diagram.
LO 46 Develop and explain a contingency table.
LO 41 Construct and interpret a dot plot.
LO 42 Identify and compute measures of position.
LO 43 Construct and analyze a box plot.
LO 44 Compute and describe the coefficient of skewness.
LO 45 Create and interpret a scatter diagram.
LO 46 Develop and explain a contingency table.


Chapter 5: A Survey of Probability Concepts
When you have completed this chapter, you will be able to:
LO 51 Explain the terms experiment, event, and outcome.
LO 52 Identify and apply the appropriate approach to assigning probabilities.
LO 53 Calculate probabilities using the rules of addition.
LO 54 Define the term joint probability.
LO 55 Calculate probabilities using the rules of multiplication.
LO 56 Define the term conditional probability.
LO 57 Compute probabilities using a contingency table.
LO 58 Determine the number of outcomes using the appropriate principle of counting.
LO 51 Explain the terms experiment, event, and outcome.
LO 52 Identify and apply the appropriate approach to assigning probabilities.
LO 53 Calculate probabilities using the rules of addition.
LO 54 Define the term joint probability.
LO 55 Calculate probabilities using the rules of multiplication.
LO 56 Define the term conditional probability.
LO 57 Compute probabilities using a contingency table.
LO 58 Determine the number of outcomes using the appropriate principle of counting.


Chapter 6: Discrete Probability Distributions
When you have completed this chapter, you will be able to:
LO 61 Identify the characteristics of a probability distribution.
LO 62 Distinguish between a discrete and a continuous random variable.
LO 63 Compute the mean of a probability distribution.
LO 64 Compute the variance and standard deviation of a probability distribution.
LO 65 Describe and compute probabilities for a binomial distribution.
LO 66 Describe and compute probabilities for a Poisson distribution.
LO 61 Identify the characteristics of a probability distribution.
LO 62 Distinguish between a discrete and a continuous random variable.
LO 63 Compute the mean of a probability distribution.
LO 64 Compute the variance and standard deviation of a probability distribution.
LO 65 Describe and compute probabilities for a binomial distribution.
LO 66 Describe and compute probabilities for a Poisson distribution.




Chapter 7: Continuous Probability Distributions
When you have completed this chapter, you will be able to:
LO 71List the characteristics of the uniform distribution.
LO 72Compute probabilities using the uniform distribution.
LO 73List the characteristics of the normal distribution.
LO 74Convert a normal distribution to the standard normal distribution.
LO 75Find probabilities for a normally distributed random variable.
LO 76Find probabilities using the Empirical Rule.
LO 71List the characteristics of the uniform distribution.
LO 72Compute probabilities using the uniform distribution.
LO 73List the characteristics of the normal distribution.
LO 74Convert a normal distribution to the standard normal distribution.
LO 75Find probabilities for a normally distributed random variable.
LO 76Find probabilities using the Empirical Rule.

Chapter 8: Sampling Methods and the Central Limit Theorem
When you have completed this chapter, you will be able to:
LO 81Explain why a sample is often the only feasible way to learn something about a population.
LO 82Describe methods to select a sample.
LO 83Define sampling error.
LO 84Describe the sampling distribution of the sample mean.
LO 85Explain the central limit theorem.
LO 86Define the standard error of the mean.
LO 87Apply the central limit theorem to find probabilities of selecting possible sample means from a specified population.
LO 81Explain why a sample is often the only feasible way to learn something about a population.
LO 82Describe methods to select a sample.
LO 83Define sampling error.
LO 84Describe the sampling distribution of the sample mean.
LO 85Explain the central limit theorem.
LO 86Define the standard error of the mean.
LO 87Apply the central limit theorem to find probabilities of selecting possible sample means from a specified population.


Chapter 9: Estimation and Confidence Intervals
When you have completed this chapter, you will be able to:
LO 91 Define point estimate.
LO 92 Define confidence interval.
LO 93 Compute a confidence interval for the population mean when the population standard deviation is known.
LO 94 Compute a confidence interval for the population mean when the population standard deviation is unknown.
LO 95 Compute a confidence interval for a population proportion.
LO 96 Calculate the required sample size to estimate a population proportion or population mean.
LO 91 Define point estimate.
LO 92 Define confidence interval.
LO 93 Compute a confidence interval for the population mean when the population standard deviation is known.
LO 94 Compute a confidence interval for the population mean when the population standard deviation is unknown.
LO 95 Compute a confidence interval for a population proportion.
LO 96 Calculate the required sample size to estimate a population proportion or population mean.


Chapter 10: OneSample Tests of Hypothesis
When you have completed this chapter, you will be able to:
LO 101Define a hypothesis.
LO 102Explain the fivestep hypothesistesting procedure.
LO 103Define Type I and Type II errors.
LO 104Define the term test statistic and explain how it is used.
LO 105Distinguish between a onetailed and a twotailed test of hypothesis.
LO 106Conduct a test of hypothesis about a population mean.
LO 107Compute and interpret a pvalue.
LO 108Conduct a test of hypothesis about a population proportion.
LO 101Define a hypothesis.
LO 102Explain the fivestep hypothesistesting procedure.
LO 103Define Type I and Type II errors.
LO 104Define the term test statistic and explain how it is used.
LO 105Distinguish between a onetailed and a twotailed test of hypothesis.
LO 106Conduct a test of hypothesis about a population mean.
LO 107Compute and interpret a pvalue.
LO 108Conduct a test of hypothesis about a population proportion.




Chapter 13: Correlation and Linear Regression
When you have completed this chapter, you will be able to:
LO 131 Define the terms independent variable and dependent variable.
LO 132 Calculate, test, and interpret the relationship between two variables using the correlation coefficient.
LO 133 Apply regression analysis to estimate the linear relationship between two variables.
LO 134 Interpret the regression analysis.
LO 135 Evaluate the significance of the slope of the regression equation.
LO 136 Evaluate a regression equation to predict the dependent variable.
LO 137 Calculate and interpret the coefficient of determination.
LO 138 Calculate and interpret confidence and prediction intervals.
LO 131 Define the terms independent variable and dependent variable.
LO 132 Calculate, test, and interpret the relationship between two variables using the correlation coefficient.
LO 133 Apply regression analysis to estimate the linear relationship between two variables.
LO 134 Interpret the regression analysis.
LO 135 Evaluate the significance of the slope of the regression equation.
LO 136 Evaluate a regression equation to predict the dependent variable.
LO 137 Calculate and interpret the coefficient of determination.
LO 138 Calculate and interpret confidence and prediction intervals.

