描述
本课程涵盖统计数据分析，强调假设检验，包括参数检验（例如 t 检验、方差分析）和非参数检验（例如 Kruskal-Wallis、Friedman、卡方检验）、相关与线性回归。并介绍概率论与分布（例如二项分布、正态分布）。
先修课程
- 先修课程：限修读BIT学位课程的学生。
条件与方式
- 不计学分（Precludes additional credit for Precludes additional credit for BIT 2000 , DATA 1517 , ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606, and STAT 3502 .）。
- 先修课程：限修读BIT学位课程的学生。
- 每周三小时讲座，每周一小时辅导/实验。
原文参考文本
This course covers statistical data analysis with an emphasis on hypothesis testing including parametric tests (e.g., t-tests, ANOVA) and non-parametric tests (e.g., Kruskal-Wallis, Friedman, chi-square), correlation and linear regression. Provides an introduction to probability theory and distributions (e.g. binomial, normal).
- Prerequisite(s): Restricted to students in the BIT degree program.
- Precludes additional credit for Precludes additional credit for BIT 2000 , DATA 1517 , ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606, and STAT 3502 .
- Lectures three hours a week, tutorial/laboratory one hour a week.
来源与参考
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来源参考 : https://calendar.carleton.ca/undergrad/courses/BIT/