Nominal data is the simplest form of data in which data falls into unordered Types of Data to represent non-numeric categories Nominal data can have two or more categories Where there are only two categories variable(or indicator) is generally referred to as dichotomous or binary Types of data Nominal scales

Lecture 5 a distribution is a collection of scores order from lowest to highest value on the horizontal (X)axis, and in terms of T-Test frequency on the vertical (Y) axis. A ormal distribution sometimes referred to as a bell curve has a distribution that forms the shape of a bell. All you need to know to plot the normal distribution is the mean and standard deviation of the data This lecture covers

一、预测—计划的前提 1概念:根据事物过去发展变动的规律并参照当前的实际情况,运用数学、统计学、社会科学方 法对事物未来发展趋势和可能达到的水平所作的科学推断

In many situations in demography and the ocial sciences however we have a dependent variable, Y, that is dichotomous Lecture 10 er or not a voman has had a second birth whether the econd birth is a male or a female baby Logistic Regression contraceptive method, whether or not a person has migrated in the last 5 years, whether

第二章SPSS的数据管理 第一节数据的输入 2.1.1变量的定义 2.1.2数据格式化 2.1.3数据的输入 2.1.4缺失值处理 2.1.5变量标签 2.1.6数据管理器列宽定义

Individuals are the objects described by a set of data. Individuals may be people, but they may also be animals Relationship or things Between Variables A variable is any characteristic of an individual. a variable can take different values for different ndividuals The 1997 survey data set, for example, includes data about a sample of women The individuals described are the women

第一节 两总体大样本假设检验 第二节 两总体小样本假设检验 第三节 配对样本的假设检验 第四节 双样本区间估计

本章要讲述某些用于定序尺度的双样本检验。与以前所讲的检验不同，使用这类方法不需要对总体分布作任何事先的假定(例如正态总体)。同时从检验的内容来说，也不是检验总体分布的某些参数(例如均值、成数、方差等)，而是检验总体某些有关的性质，所以称为非参数检验。非参数检验，泛指“对分布类型已知的总体进行参数检验”之外的所有检验方法。 第一节 符号检验 第二节 配对符号秩检验 第三节 秩和检验 第四节 游程检验 第五节 累计频数检验

◼ 第一节 相关关系及种类 ◼ 第二节 定类变量的相关分析 ◼ 第三节 定序变量的相关分析 ◼ 第四节 定距变量的相关分析 ◼ 第五节 回归分析

时间数列（动态数列）是指标数值按时间顺序排列而形成的数列。 主要内容：时间数列及其指标分析、时间数列的趋势分析、指数分析法