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Free Download Inferential Statistics using SPSS Version 29
Published 5/2024
Created by Roy McPherson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 20m ) | Size: 761 MB
A Beginner's Guide
What you'll 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.
Requirements:
Knowledge of level of measurements
Knowledge of descriptive statistics
Knowledge of independent and dependent variables
Introductory knowledge of SPSS
Description:
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.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.
Who this course is for:
This course is ideal for Data and Statistical Analysts who want to gain knowledge of the most basic and popular inferential techniques.
Homepage
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