Chapter 17-Learning Objectives Build polynomial regression models to describe curvilinear relationships Apply qualitative variables representing two or three categories Use logarithmic transforms in constructing exponential and multiplicative models Identify and compensate for multicollinearity Apply stepwise regression

Chapter 16 Learning Objectives Obtain and interpret the multiple regression equation Make estimates using the regression model: Point value of the dependent variable,y Intervals: Confidence interval for the conditional mean of y Prediction interval for an individual y observation

Chapter 15-Learning Objectives e Determine the least squares regression equation, and make point and interval estimates for the dependent variable Determine and interpret the value of the Coefficient of correlation Coefficient of determination Construct confidence intervals and carry out hypothesis tests involving the slope of the regression line o 2002 The Wadsworth Group

Chapter 14-Learning objectives Differentiate between nonparametric and parametric hypothesis tests Determine when a nonparametric test should be used instead of its parametric counterpart Appropriately apply each of the nonparametric methods introduced o 2002 The Wadsworth Group

Chapter 13-Learning objectives Explain the nature of the chi-square distribution Apply the chi-square distribution to Goodness-of-fit tests Tests of independence between 2 variables Tests comparing proportions from multiple populations Tests of a single population variance o 2002 The Wadsworth Group

Describe the relationship between analysis of variance, the design of experiments, and the types of applications to which the experiments are applied. Differentiate one-way randomized block, and two-way analysis of variance techniques Arrange data into a format that facilitates their analysis by the appropriate analysis of variance

Chapter 11-Learning Objectives Select and use the appropriate hypothesis test in comparing Means of two independent samples Means of two dependent samples Proportions of two independent samples Variances of two independent samples Construct and interpret the appropriate confidence interval for differences in Means of two independent samples

Chapter 10-Learning Objectives Describe the logic of and transform verbal statements into null and alternative hypotheses Describe what is meant by Type I and Type Il errors Conduct a hypothesis test for a single population mean or proportion

Chapter 9- Learning objectives Explain the difference between a point and an interval estimate Construct and interpret confidence intervals. with a z for the population mean or proportion with a t for the population mean Determine appropriate sample size to achieve specified levels of accuracy and confidence C 2002 The Wadsworth g

Sampling distribution of the mean When the population is normally distributed Shape: Regardless of sample size, the distribution of sample means will be normally distributed Center: The mean of the distribution of sample means is the mean of the population. Sample size does not affect the center of the distribution