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

l Chapter 1-Key terms Collection, summarization, analysis, and reporting of numerical findings Statistics-Two Usages A. The study of statistics B. Statistics as reported sample measures

Chapter 19- Learning Objectives Express a decision situation in terms of decision alternatives, states of nature, and payoffs. Differentiate between non-Bavesian and Bavesian decision criteria. Determine the expected payoff for a decision alternative. Calculate and interpret the expected value of perfect information

Chapter 18-Learning Objectives Describe the trend, cyclical, seasonal, and irregular components of the time series model Fit a linear or quadratic trend equation to a time series Smooth a time series with the centered moving average and exponential smoothing techniques

J Chapter 3- Learning objectives Describe data using measures of central tendency and dispersion for a set of individual data values, and for a set of grouped data Convert data to standardized values Use the computer to visually represent data

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

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 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