Inferential Statistics using SPSS Version 29
Inferential Statistics using SPSS Version 29, available at $44.99, with 8 lectures.
You will learn about Understand the Chi-square test and how to interpret its results. Understand the Correlation test and how to interpret its results. Understand the Mann-Whitney U test and how to interpret its results. Understand the Kruskal Wallis U test and how to interpret its results. Understand the Independent samples t test and how to interpret its results. Understand the One-Way ANOVA test and how to interpret its results. This course is ideal for individuals who are This course is ideal for Data and Statistical Analysts who want to gain knowledge of the most basic and popular inferential techniques. It is particularly useful for This course is ideal for Data and Statistical Analysts who want to gain knowledge of the most basic and popular inferential techniques.
Enroll now: Inferential Statistics using SPSS Version 29
Summary
Title: Inferential Statistics using SPSS Version 29
Price: $44.99
Number of Lectures: 8
Number of Published Lectures: 8
Number of Curriculum Items: 8
Number of Published Curriculum Objects: 8
Original Price: $34.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the Chi-square test and how to interpret its results.
- Understand the Correlation test and how to interpret its results.
- Understand the Mann-Whitney U test and how to interpret its results.
- Understand the Kruskal Wallis U test and how to interpret its results.
- Understand the Independent samples t test and how to interpret its results.
- Understand the One-Way ANOVA test and how to interpret its results.
Who Should Attend
- This course is ideal for Data and Statistical Analysts who want to gain knowledge of the most basic and popular inferential techniques.
Target Audiences
- This course is ideal for Data and Statistical Analysts who want to gain knowledge of the most basic and popular inferential techniques.
In this course, you will learn the following:
-
Chi-square– In this section, we explore what the test is, understanding the assumptions for the test, how to determine these assumptions, interpreting the results, and a sample write up. All datasets are provided for learners to follow along and explore additional examples on their own. The structure of all other sections are essentially the same for the duration of the course.
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Correlation–In this section, we explore what the test is, understanding the assumptions for the test, how to determine these assumptions, and interpreting the results.
-
Mann-Whitney U test– In this section, we explore what the test is, understanding the assumptions for the test, how to determine these assumptions, and interpreting the results.
-
Kruskal Wallis H test – In this section, we explore what the test is, understanding the assumptions for the test, how to determine these assumptions, and interpreting the results.
-
Independent samples t test – In this section, we explore what the test is, understanding the assumptions for the test, how to determine these assumptions, and interpreting the results.
-
One-Way ANOVA – In this section, we explore what the test is, understanding the assumptions for the test, how to determine these assumptions, and interpreting the results.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Chi-Square
Lecture 1: Chi-square
Chapter 3: Correlation
Lecture 1: Correlation
Chapter 4: Mann-Whitney U Test
Lecture 1: Mann-Whitney U Test
Chapter 5: Kruskal Wallis H Test
Lecture 1: Kruskal Wallis H Test
Chapter 6: Independent Samples t-Test
Lecture 1: Independent Samples t-Test
Chapter 7: One-way ANOVA
Lecture 1: One-way ANOVA
Chapter 8: CLOSING
Lecture 1: Closing Lecture
Instructors
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Roy McPherson
Instructor at Udemy
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Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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