第一节 相关分析的概念与性质 第二节 相关系数的计算与检验 第三节 等级相关 第四节 偏相关与复相关

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

Section 1 sampling error of mean Section 2 t distribution Section 3 confidence intervals for the population mean

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

l Chapter 6- Learning objectives Distinguish between discrete and continuous randomⅴ ariables Differentiate between the binomial and the poisson discrete probability distributions and their applications Construct a probability distribution for a discrete random variable, determine its mean and variance, and specify the

Chapter 4- Learning objectives Describe the types of studies and their purposes Exploratory Descriptive ausa Predictive Explain the differences between data sources Primary Secondary Internal versus external Differentiate between sampling designs

总体均值的检验 总体比率的检验 总体方差的检验

l Chapter 2-Learning objectives Convert raw data into a data array Construct a frequency distribution a relative frequency distribution a cumulative relative frequency distribution Construct a stem-and-leaf diagram Visually represent data by using graphs and charts