Quantitative Methods
Textbook: Statistical Techniques for Business and Economics (16e), by Lind, Marchal, and Wathan, McGrawHill, 2015. ISBN: 9780078020520
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.
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Ztables and Ttables, Ftables
ChiSquare table
Binomial tables
Key Formulas
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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
Ztables and Ttables, Ftables
ChiSquare table
Binomial tables
Key Formulas
Join the Slack Team Page
CHAPTER MATERIAL
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Chapter 11: TwoSample Test of Hypothesis
When you have completed this chapter, you will be able to:
LO111 Test a hypothesis that two independent population means are equal, assuming that the population standard deviations are known and equal.
LO112 Test a hypothesis that two independent population means are equal, with unknown population standard deviations.
LO113 Test a hypothesis about the mean population difference between paired or dependent observations.
LO114 Explain the difference between dependent and independent samples.
LO111 Test a hypothesis that two independent population means are equal, assuming that the population standard deviations are known and equal.
LO112 Test a hypothesis that two independent population means are equal, with unknown population standard deviations.
LO113 Test a hypothesis about the mean population difference between paired or dependent observations.
LO114 Explain the difference between dependent and independent samples.


Chapter 12: Analysis of Variance
When you have completed this chapter, you will be able to:
LO121 Apply the F distribution to test a hypothesis that two population variances are equal.
LO122 Use ANOVA to test a hypothesis that three or more population means are equal.
LO123 Use confidence intervals to test and interpret differences between pairs of population means.
LO124 Use a blocking variable in a twoway ANOVA to test a hypothesis that three or more population means are equal.
LO125 Perform a twoway ANOVA with interaction and describe the results
LO121 Apply the F distribution to test a hypothesis that two population variances are equal.
LO122 Use ANOVA to test a hypothesis that three or more population means are equal.
LO123 Use confidence intervals to test and interpret differences between pairs of population means.
LO124 Use a blocking variable in a twoway ANOVA to test a hypothesis that three or more population means are equal.
LO125 Perform a twoway ANOVA with interaction and describe the results



Chapter 13: Correlation and Linear Regression
When you have completed this chapter, you will be able to:
LO131 Explain the purpose of correlation analysis.
LO132 Calculate a correlation coefficient to test and interpret the relationship between two variables.
LO133 Apply regression analysis to estimate the linear relationship between two variables.
LO134 Evaluate the significance of the slope of the regression equation.
LO135 Evaluate a regression equation’s ability to predict using the standard estimate of the error and the coefficient of determination.
LO136 Calculate and interpret confidence and prediction intervals.
LO137 Use a log function to transform a nonlinear relationship.
LO131 Explain the purpose of correlation analysis.
LO132 Calculate a correlation coefficient to test and interpret the relationship between two variables.
LO133 Apply regression analysis to estimate the linear relationship between two variables.
LO134 Evaluate the significance of the slope of the regression equation.
LO135 Evaluate a regression equation’s ability to predict using the standard estimate of the error and the coefficient of determination.
LO136 Calculate and interpret confidence and prediction intervals.
LO137 Use a log function to transform a nonlinear relationship.
ipptch013.pptx 
copiersandsales.xlsx 






Chapter 14: Multiple Regression Analysis
When you have completed this chapter, you will be able to:
LO141 Use multiple regression analysis to describe and interpret a relationship between several independent variables and a dependent variable.
LO142 Evaluate how well a multiple regression equation fits the data.
LO143 Test hypotheses about the relationships inferred by a multiple regression model.
LO144 Evaluate the assumptions of multiple regression.
LO145 Use and interpret a qualitative, dummy variable in multiple regression.
LO146 Include and interpret an interaction effect in multiple regression analysis.
LO147 Apply stepwise regression to develop a multiple regression model.
LO148 Apply multiple regression techniques to develop a linear model.
LO141 Use multiple regression analysis to describe and interpret a relationship between several independent variables and a dependent variable.
LO142 Evaluate how well a multiple regression equation fits the data.
LO143 Test hypotheses about the relationships inferred by a multiple regression model.
LO144 Evaluate the assumptions of multiple regression.
LO145 Use and interpret a qualitative, dummy variable in multiple regression.
LO146 Include and interpret an interaction effect in multiple regression analysis.
LO147 Apply stepwise regression to develop a multiple regression model.
LO148 Apply multiple regression techniques to develop a linear model.
Table 141 (Heating Cost Data)



Chapter 15: Nonparametric Methods: Nominal Level Hypothesis Tests
When you have completed this chapter, you will be able to:
LO151 Test a hypothesis about a population proportion.
LO152 Test a hypothesis about two population proportions.
LO153 Test a hypothesis comparing an observed set of frequencies to an expected frequency distribution.
LO154 Explain the limitations of using the chisquare statistic in goodnessoffit tests.
LO155 Test a hypothesis that an observed frequency distribution is normally distributed.
LO156 Perform a chisquare test for independence on a contingency table.
LO151 Test a hypothesis about a population proportion.
LO152 Test a hypothesis about two population proportions.
LO153 Test a hypothesis comparing an observed set of frequencies to an expected frequency distribution.
LO154 Explain the limitations of using the chisquare statistic in goodnessoffit tests.
LO155 Test a hypothesis that an observed frequency distribution is normally distributed.
LO156 Perform a chisquare test for independence on a contingency table.



Chapter 16: Nonparametric Methods: Analysis of Ordinal Data
When you have completed this chapter, you will be able to:
LO161 Use the sign test to compare two dependent populations.
LO162 Test a hypothesis about a median using the sign test.
LO163 Test a hypothesis of dependent populations using the Wilcoxon signedrank test.
LO164 Test a hypothesis of independent populations using the Wilcoxon ranksum test.
LO165 Test a hypothesis of several independent populations using the KruskalWallis test.
LO166 Test and interpret a nonparametric hypothesis test of correlation.
LO161 Use the sign test to compare two dependent populations.
LO162 Test a hypothesis about a median using the sign test.
LO163 Test a hypothesis of dependent populations using the Wilcoxon signedrank test.
LO164 Test a hypothesis of independent populations using the Wilcoxon ranksum test.
LO165 Test a hypothesis of several independent populations using the KruskalWallis test.
LO166 Test and interpret a nonparametric hypothesis test of correlation.

Chapter 17: Index Numbers
When you have completed this chapter, you will be able to:
LO171 Compute and interpret a simple, unweighted index.
LO172 Compute and interpret an unweighted aggregate index.
LO173 Compute and interpret a weighted aggregate index.
LO174 List and describe specialpurpose indexes.
LO175 Apply the Consumer Price Index.
LO171 Compute and interpret a simple, unweighted index.
LO172 Compute and interpret an unweighted aggregate index.
LO173 Compute and interpret a weighted aggregate index.
LO174 List and describe specialpurpose indexes.
LO175 Apply the Consumer Price Index.

Chapter 18: Times Series and Forecasting
When you have completed this chapter, you will be able to:
LO181 Define and describe the components of a time series.
LO182 Smooth a time series by computing a moving average.
LO183 Smooth a time series by computing a weighted moving average.
LO184 Use regression analysis to fit a linear trend line to a time series.
LO185 Use regression analysis to fit a nonlinear time series.
LO186 Compute and apply seasonal indexes to make seasonally adjusted forecasts.
LO187 Deseasonalize a time series using seasonal indexes.
LO188 Conduct a hypothesis test of autocorrelation.
LO181 Define and describe the components of a time series.
LO182 Smooth a time series by computing a moving average.
LO183 Smooth a time series by computing a weighted moving average.
LO184 Use regression analysis to fit a linear trend line to a time series.
LO185 Use regression analysis to fit a nonlinear time series.
LO186 Compute and apply seasonal indexes to make seasonally adjusted forecasts.
LO187 Deseasonalize a time series using seasonal indexes.
LO188 Conduct a hypothesis test of autocorrelation.



Chapter 19: Statistical Process Control and Quality Management
When you have completed this chapter, you will be able to:
LO191 Explain the purpose of quality control in production and service operations.
LO192 Define the two sources of process variation and explain how they are used to monitor quality.
LO193 Explain the use of charts to investigate the sources of process variation.
LO194 Compute control limits for mean and range control charts for a variable measure of quality.
LO195 Evaluate control charts to determine if a process is out of control.
LO196 Compute control limits of control charts for an attribute measure of quality.
LO197 Explain the process of acceptance sampling.
LO191 Explain the purpose of quality control in production and service operations.
LO192 Define the two sources of process variation and explain how they are used to monitor quality.
LO193 Explain the use of charts to investigate the sources of process variation.
LO194 Compute control limits for mean and range control charts for a variable measure of quality.
LO195 Evaluate control charts to determine if a process is out of control.
LO196 Compute control limits of control charts for an attribute measure of quality.
LO197 Explain the process of acceptance sampling.

Chapter 20: An Introduction to Decision Theory
When you have completed this chapter, you will be able to:
LO201 Identify and apply the three components of a decision.
LO202 Analyze a decision using expected monetary value.
LO203 Analyze a decision using opportunity loss.
LO204 Apply maximin, maximax, and minimax regret strategies to make a decision.
LO205 Compute and explain the expected value of perfect information.
LO206 Apply sensitivity analysis to evaluate a decision subject to uncertainty.
LO207 Use a decision tree to illustrate and analyze decision making under uncertainty.
LO201 Identify and apply the three components of a decision.
LO202 Analyze a decision using expected monetary value.
LO203 Analyze a decision using opportunity loss.
LO204 Apply maximin, maximax, and minimax regret strategies to make a decision.
LO205 Compute and explain the expected value of perfect information.
LO206 Apply sensitivity analysis to evaluate a decision subject to uncertainty.
LO207 Use a decision tree to illustrate and analyze decision making under uncertainty.


