Business Statistics
Textbook: Business Statistics for Business and Economics (8e), by Lind, Marchal, and Wathan, McGraw-Hill Irwin, 2013. ISBN: 978-0-07-352147-3
Lind, Marchal, and Wathen official website
Go to this website for the PPT slides, tutorials, videos, datasets, quizzes, study guides, and other important chapter-by-chapter information.
TAMU Software Store
McGraw-Hill Connect
Z-table and T-tables
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 chapter-by-chapter information.
TAMU Software Store
McGraw-Hill Connect
Z-table and T-tables
Binomial tables
Key Formulas
CHAPTER MATERIAL
Helpful online learning tools:
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DATASETS .XLS 2010 files
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Chapter 1: What is Statistics?
When you have completed this chapter, you will be able to:
LO 1-1List ways that statistics is used.
LO 1-2Know the differences between descriptive and inferential statistics.
LO 1-3Understand the differences between a sample and a population.
LO 1-4Explain the difference between qualitative and quantitative variables.
LO 1-5Compare discrete and continuous variables.
LO 1-6Recognize the levels of measurement in data.
LO 1-1List ways that statistics is used.
LO 1-2Know the differences between descriptive and inferential statistics.
LO 1-3Understand the differences between a sample and a population.
LO 1-4Explain the difference between qualitative and quantitative variables.
LO 1-5Compare discrete and continuous variables.
LO 1-6Recognize the levels of measurement in data.
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Chapter 2: Describing Data: Frequency Tables, Frequency
Distributions, and Graphic Presentation
When you have completed this chapter, you will be able to:
LO 2-1Make a frequency table for a set of data.
LO 2-2Organize data into a bar chart.
LO 2-3Present a set of data using pie chart.
LO 2-4Create a frequency distribution for a data set.
LO 2-5Understand a relative frequency distribution.
LO 2-6Present data from a frequency distribution in a histogram or frequency polygon.
LO 2-7Construct and interpret a cumulative frequency distribution.
LO 2-1Make a frequency table for a set of data.
LO 2-2Organize data into a bar chart.
LO 2-3Present a set of data using pie chart.
LO 2-4Create a frequency distribution for a data set.
LO 2-5Understand a relative frequency distribution.
LO 2-6Present data from a frequency distribution in a histogram or frequency polygon.
LO 2-7Construct and interpret a cumulative frequency distribution.
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In class exercises:
Best-selling Music Artists
Best-selling Music Artists
Chapter 3: Describing Data: Numerical Measures
When you have completed this chapter, you will be able to:
LO 3-1Explain the concept of central tendency.
LO 3-2Identify and compute the arithmetic mean.
LO 3-3Compute and interpret the weighted mean.
LO 3-4Determine the median.
LO 3-5Identify the mode.
LO 3-6Explain and apply measures of dispersion.
LO 3-7Compute and explain the variance and the standard deviation.
LO 3-8Explain Chebyshev’s Theorem and the Empirical Rule.
LO 3-1Explain the concept of central tendency.
LO 3-2Identify and compute the arithmetic mean.
LO 3-3Compute and interpret the weighted mean.
LO 3-4Determine the median.
LO 3-5Identify the mode.
LO 3-6Explain and apply measures of dispersion.
LO 3-7Compute and explain the variance and the standard deviation.
LO 3-8Explain Chebyshev’s Theorem and the Empirical Rule.
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Chapter 4: Describing Data: Displaying and Exploring Data
When you have completed this chapter, you will be able to:
LO 4-1 Construct and interpret a dot plot.
LO 4-2 Identify and compute measures of position.
LO 4-3 Construct and analyze a box plot.
LO 4-4 Compute and describe the coefficient of skewness.
LO 4-5 Create and interpret a scatter diagram.
LO 4-6 Develop and explain a contingency table.
LO 4-1 Construct and interpret a dot plot.
LO 4-2 Identify and compute measures of position.
LO 4-3 Construct and analyze a box plot.
LO 4-4 Compute and describe the coefficient of skewness.
LO 4-5 Create and interpret a scatter diagram.
LO 4-6 Develop and explain a contingency table.
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Chapter 5: A Survey of Probability Concepts
When you have completed this chapter, you will be able to:
LO 5-1 Explain the terms experiment, event, and outcome.
LO 5-2 Identify and apply the appropriate approach to assigning probabilities.
LO 5-3 Calculate probabilities using the rules of addition.
LO 5-4 Define the term joint probability.
LO 5-5 Calculate probabilities using the rules of multiplication.
LO 5-6 Define the term conditional probability.
LO 5-7 Compute probabilities using a contingency table.
LO 5-8 Determine the number of outcomes using the appropriate principle of counting.
LO 5-1 Explain the terms experiment, event, and outcome.
LO 5-2 Identify and apply the appropriate approach to assigning probabilities.
LO 5-3 Calculate probabilities using the rules of addition.
LO 5-4 Define the term joint probability.
LO 5-5 Calculate probabilities using the rules of multiplication.
LO 5-6 Define the term conditional probability.
LO 5-7 Compute probabilities using a contingency table.
LO 5-8 Determine the number of outcomes using the appropriate principle of counting.
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Chapter 6: Discrete Probability Distributions
When you have completed this chapter, you will be able to:
LO 6-1 Identify the characteristics of a probability distribution.
LO 6-2 Distinguish between a discrete and a continuous random variable.
LO 6-3 Compute the mean of a probability distribution.
LO 6-4 Compute the variance and standard deviation of a probability distribution.
LO 6-5 Describe and compute probabilities for a binomial distribution.
LO 6-6 Describe and compute probabilities for a Poisson distribution.
LO 6-1 Identify the characteristics of a probability distribution.
LO 6-2 Distinguish between a discrete and a continuous random variable.
LO 6-3 Compute the mean of a probability distribution.
LO 6-4 Compute the variance and standard deviation of a probability distribution.
LO 6-5 Describe and compute probabilities for a binomial distribution.
LO 6-6 Describe and compute probabilities for a Poisson distribution.
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Chapter 7: Continuous Probability Distributions
When you have completed this chapter, you will be able to:
LO 7-1List the characteristics of the uniform distribution.
LO 7-2Compute probabilities using the uniform distribution.
LO 7-3List the characteristics of the normal distribution.
LO 7-4Convert a normal distribution to the standard normal distribution.
LO 7-5Find probabilities for a normally distributed random variable.
LO 7-6Find probabilities using the Empirical Rule.
LO 7-1List the characteristics of the uniform distribution.
LO 7-2Compute probabilities using the uniform distribution.
LO 7-3List the characteristics of the normal distribution.
LO 7-4Convert a normal distribution to the standard normal distribution.
LO 7-5Find probabilities for a normally distributed random variable.
LO 7-6Find probabilities using the Empirical Rule.
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Chapter 8: Sampling Methods and the Central Limit Theorem
When you have completed this chapter, you will be able to:
LO 8-1Explain why a sample is often the only feasible way to learn something about a population.
LO 8-2Describe methods to select a sample.
LO 8-3Define sampling error.
LO 8-4Describe the sampling distribution of the sample mean.
LO 8-5Explain the central limit theorem.
LO 8-6Define the standard error of the mean.
LO 8-7Apply the central limit theorem to find probabilities of selecting possible sample means from a specified population.
LO 8-1Explain why a sample is often the only feasible way to learn something about a population.
LO 8-2Describe methods to select a sample.
LO 8-3Define sampling error.
LO 8-4Describe the sampling distribution of the sample mean.
LO 8-5Explain the central limit theorem.
LO 8-6Define the standard error of the mean.
LO 8-7Apply the central limit theorem to find probabilities of selecting possible sample means from a specified population.
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Chapter 9: Estimation and Confidence Intervals
When you have completed this chapter, you will be able to:
LO 9-1 Define point estimate.
LO 9-2 Define confidence interval.
LO 9-3 Compute a confidence interval for the population mean when the population standard deviation is known.
LO 9-4 Compute a confidence interval for the population mean when the population standard deviation is unknown.
LO 9-5 Compute a confidence interval for a population proportion.
LO 9-6 Calculate the required sample size to estimate a population proportion or population mean.
LO 9-1 Define point estimate.
LO 9-2 Define confidence interval.
LO 9-3 Compute a confidence interval for the population mean when the population standard deviation is known.
LO 9-4 Compute a confidence interval for the population mean when the population standard deviation is unknown.
LO 9-5 Compute a confidence interval for a population proportion.
LO 9-6 Calculate the required sample size to estimate a population proportion or population mean.
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Chapter 10: One-Sample Tests of Hypothesis
When you have completed this chapter, you will be able to:
LO 10-1Define a hypothesis.
LO 10-2Explain the five-step hypothesis-testing procedure.
LO 10-3Define Type I and Type II errors.
LO 10-4Define the term test statistic and explain how it is used.
LO 10-5Distinguish between a one-tailed and a two-tailed test of hypothesis.
LO 10-6Conduct a test of hypothesis about a population mean.
LO 10-7Compute and interpret a p-value.
LO 10-8Conduct a test of hypothesis about a population proportion.
LO 10-1Define a hypothesis.
LO 10-2Explain the five-step hypothesis-testing procedure.
LO 10-3Define Type I and Type II errors.
LO 10-4Define the term test statistic and explain how it is used.
LO 10-5Distinguish between a one-tailed and a two-tailed test of hypothesis.
LO 10-6Conduct a test of hypothesis about a population mean.
LO 10-7Compute and interpret a p-value.
LO 10-8Conduct a test of hypothesis about a population proportion.
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Chapter 13: Correlation and Linear Regression
When you have completed this chapter, you will be able to:
LO 13-1 Define the terms independent variable and dependent variable.
LO 13-2 Calculate, test, and interpret the relationship between two variables using the correlation coefficient.
LO 13-3 Apply regression analysis to estimate the linear relationship between two variables.
LO 13-4 Interpret the regression analysis.
LO 13-5 Evaluate the significance of the slope of the regression equation.
LO 13-6 Evaluate a regression equation to predict the dependent variable.
LO 13-7 Calculate and interpret the coefficient of determination.
LO 13-8 Calculate and interpret confidence and prediction intervals.
LO 13-1 Define the terms independent variable and dependent variable.
LO 13-2 Calculate, test, and interpret the relationship between two variables using the correlation coefficient.
LO 13-3 Apply regression analysis to estimate the linear relationship between two variables.
LO 13-4 Interpret the regression analysis.
LO 13-5 Evaluate the significance of the slope of the regression equation.
LO 13-6 Evaluate a regression equation to predict the dependent variable.
LO 13-7 Calculate and interpret the coefficient of determination.
LO 13-8 Calculate and interpret confidence and prediction intervals.
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