# 课程描述

STAT-统计数据

3学分

A quantitative literacy course with a statistical theme. 包括描述性统计、 抽样和推理方法. Emphasizes problem solving and critical thinking. 帆布课程Mat \$72/麦克米伦适用.

5个学分

A quantitative literacy course with a statistical theme. 包括描述性统计、 抽样和推理方法. Emphasizes problem solving and critical thinking.

4学分

4学分

Is an introductory 统计数据 course for 统计数据 majors. 应用离散和连续 真实数据集的概率分布. 教授置信区间和假设 测试一个和两个样本问题. 在实验中涵盖介绍性的主题 design, linear regression, nonparametric 统计数据, and categorical data 分析.

1学分

Familiarizes students with the SAS statistical software package. 教授如何组织， input data, and be able to use reference books to figure out the appropriate way to 使用SAS运行所需的分析.

Probability and 统计数据 for Engineering and the Sciences
3学分

Introduces mathematical 统计数据 for scientists and engineers. 包括计数 techniques, random variables, expected values, joint and marginal distributions, point estimation, hypothesis testing, 分析 of variance, and regression.

3学分

Provides students in non-mathematical disciplines the ability to answer typical research questions for their senior projects or graduate-level research. 包括线性回归、 transformations, variable selection techniques, logistic regression, indicator variables, 多重共线性和ARIMA时间序列. 满足VEE统计需求 精算师协会的会员. Introduces standard software as a tool for statistical 分析.

3学分

Introduces the design and 分析 of randomized comparative experiments. 包括 single factor ANOVAs, randomized block designs, latin squares, factorial designs, 以及嵌套和分割的地块设计. 涵盖混合模型，包括随机效应和 computation of expected mean squares to form appropriate F-ratios. 使用SAS统计 程序软件执行统计分析.

3学分

Introduces survey sampling including simple random sampling, stratified random sampling, 系统和整群抽样. Discusses ratio and difference estimators, weighting for non-responses, eliminating sources of bias and designing the questionnaire.

3学分

3学分

3学分

Introduces nonparametric statistical procedures to apply in situations when parametric 统计数据 (usually based on normality) are not appropriate. 涵盖非参数类型 analyses that includes one and two sample hypothesis tests, goodness-of-fit tests, contingency tables, block designs, and regression 分析.

3学分

Presents the theory and methods of quality monitoring including process capability, control charts, acceptance sampling, quality engineering, and quality design.

Mathematical 统计数据-Probability and 统计数据
3学分

Introduces mathematical 统计数据 including random variables, set theory, transformations, expectation, joint and marginal distributions, moment generating functions, and order 统计数据.

3学分

3学分

Covers probability theory, random variables, functions of random variables, probability distributions and their characteristics, transformations of random variables, Pearson’s correlation coefficient, and bivariate normal distribution and regression.

3学分