This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Introduction to Statistical Analysis: Hypothesis Testing
Introduction to Statistical Analysis: Hypothesis Testing
本课程是 SAS Statistical Business Analyst 专业证书 的一部分
位教师：Jordan Bakerman
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作业
28 项作业
授课语言：英语（English）
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积累 Data Analysis 领域的专业知识
本课程是 SAS Statistical Business Analyst 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 SAS 获得可共享的职业证书
该课程共有4个模块
In this module you learn about the course and the data you analyze in this course. Then you set up the data you need to do the practices in the course.
涵盖的内容
2个视频6篇阅读材料
In this module you learn about the models required to analyze different types of data and the difference between explanatory vs predictive modeling. Then you review fundamental statistical concepts, such as the sampling distribution of a mean, hypothesis testing, p-values, and confidence intervals. After reviewing these concepts, you apply one-sample and two-sample t tests to data to confirm or reject preconceived hypotheses.
涵盖的内容
17个视频2篇阅读材料9个作业
In this module you learn to use graphical tools that can help determine which predictors are likely or unlikely to be useful. Then you learn to augment these graphical explorations with correlation analyses that describe linear relationships between potential predictors and our response variable. After you determine potential predictors, tools like ANOVA and regression help you assess the quality of the relationship between the response and predictors.
涵盖的内容
29个视频2篇阅读材料14个作业
In this module you expand the one-way ANOVA model to a two-factor analysis of variance and then extend simple linear regression to multiple regression with two predictors. After you understand the concepts of two-way ANOVA and multiple linear regression with two predictors, you'll have the skills to fit and interpret models with many variables.
涵盖的内容
13个视频1篇阅读材料5个作业
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位教师
授课教师评分
4.6 (58个评价)提供方
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自 2018开始学习的学生
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自 2020开始学习的学生
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学生评论
4.7
170 条评论
- 5 stars
77.64%
- 4 stars
16.47%
- 3 stars
2.35%
- 2 stars
1.17%
- 1 star
2.35%
显示 3/170 个
RM
5
已于 Jun 14, 2021审阅
Thank you so much to the instructor, Jordan Bakerman for teaching this course.
HF
5
已于 Apr 28, 2022审阅
Well Done Everything. Practices need to be clarified more because somebody know Statistics with less SAS and reversely some learners know SAS but less Statistics.
TM
5
已于 Jun 28, 2021审阅
Thoroughly enjoyed this course. In depth explanation of hypothesis testing, ANOVA and Regression, explained very clearly using SAS.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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