Machine Learning vs. Statistics: What’s the Difference?
January 21, 2025
Article
This course is part of Psychological Research Specialization
Instructor: Mike Stadler, PhD
3,415 already enrolled
Included with
(37 reviews)
Recommended experience
Beginner level
High school degree or equivalent
(37 reviews)
Recommended experience
Beginner level
High school degree or equivalent
Explain ways to categorize variables and describe data.
Describe how graphs are used to visualize data.
Describe the logic of inferential statistics and null hypothesis significance testing.
Select the appropriate inferential test based on criteria.
Compare and contrast the use of statistical significance, effect size, and confidence intervals.
Explain the importance of statistical power.
Describe how alternative procedures address the major objections to null hypothesis significance testing.
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This is primarily aimed at first- and second-year undergraduates interested in psychology, statistics, data analysis, and research methods along with high school students and professionals with similar interests.
This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning.
7 readings
This course will begin by introducing the basic concepts of how to describe and visualize data, the fundamentals of using statistics to make inferences, and the logic of null hypothesis testing. Various types of hypothesis tests will be introduced, along with criteria for selecting which is appropriate for different study conditions. As an extension of null hypothesis significance tests, you will learn about how to interpret effect sizes and confidence intervals, along with statistical power, before being introduced to alternatives to null hypothesis significance testing.
2 videos
In this first section of the course, the fundamental concept of the variable is introduced and explained, along with some of the basic statistical methods we use to describe and summarize variables in data sets.
10 videos12 readings8 assignments
In this module, we move on from descriptive statistics like the mean and standard deviation into inferential statistics, which help us use sample data to draw inferences about the populations the samples represent.
9 videos16 readings4 assignments
In this section of the course, we consider the role of null hypothesis significance testing in psychological research, some objections that have been raised to that approach, and some alternative approaches that have been proposed.
10 videos13 readings4 assignments
Review the main ideas from the previous module, organized by learning objectives (LOs).
28 readings10 assignments
1 video1 assignment
This module provides a variety of information and tools from the American Psychological Association (APA) that will help inspire you as you complete your coursework and plan your career goals. Explore APA resources on various psychological issues and scholarly research and writing; a list of sites providing valuable resources on diversity, equity, and inclusion in psychology education and in the professional community; resources on a career in psychology; and links to career opportunities at the APA.
8 readings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
APA is the leading scientific and professional organization representing psychology in the United States, with more than 146,000 researchers, educators, clinicians, consultants, and students as its members. Its mission is to promote the advancement, communication, and application of psychological science and knowledge to benefit society and improve lives.
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Absolutely outstanding. Great design and it makes complex concepts really easy to understand.
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