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Ch 5: Statistics in Psychology: Homeschool Curriculum

About This Chapter

The Statistics in Psychology unit of this High School Psychology Homeschool course is designed to help homeschooled students learn about the use of statistics in psychological research. Parents can use the short videos to introduce topics, break up lessons and keep students engaged.

Who's It For?

This unit of our High School Psychology Homeschool course will benefit any student who is trying to learn about statistics in psychology. There is no faster or easier way to learn about statistics. Among those who would benefit are:

  • Students who require an efficient, self-paced course of study to learn about types of statistics, their use in research, statistical significance and psychological tests.
  • Homeschool parents looking to spend less time preparing lessons and more time teaching.
  • Homeschool parents who need a psychology curriculum that appeals to multiple learning types (visual or auditory).
  • Gifted students and students with learning differences.

How It Works:

  • Students watch a short, fun video lesson that covers a specific unit topic.
  • Students and parents can refer to the video transcripts to reinforce learning.
  • Short quizzes and a statistics unit exam confirm understanding or identify any topics that require review.

Statistics Unit Objectives:

  • Define statistics, tests and measurements.
  • Explore the uses of statistical analysis.
  • Gain an understanding of descriptive statistics and how they are used.
  • Learn about mean, median and mode.
  • Explore the measures of variability and what they mean.
  • See how inferential statistics are used in psychology studies.
  • Examine the method of hypothesis testing that compares the null to the alternative hypothesis.
  • Learn what statistical significance is and examine its levels and critical regions.
  • See how standardization, norm and samples help in understanding the results of psychological tests.
  • Get an overview of some common psychological tests, including power tests, aptitude tests and inventory-type tests.

14 Lessons in Chapter 5: Statistics in Psychology: Homeschool Curriculum
Test your knowledge with a 30-question chapter practice test
Introduction to Research Design & Statistical Analysis for Psychology

1. Introduction to Research Design & Statistical Analysis for Psychology

What do psychologists have to think about when designing studies and interpreting results? In this lesson, you'll explore how the scientific method can help with the difficult task of studying behaviors and their potential causes.

Statistical Analysis for Psychology: Descriptive & Inferential Statistics

2. Statistical Analysis for Psychology: Descriptive & Inferential Statistics

What are the two main types of statistics used by psychologists? In this lesson, you'll start to see what psychologists need to do to analyze their data and test the significance of their results.

What Are Descriptive Statistics? - Definition and Uses

3. What Are Descriptive Statistics? - Definition and Uses

This lesson is a simple walk-through of the common types of descriptive statistics and why they are important for understanding psychological research. You will likely be familiar with many of them but some you may not be.

Frequency Distributions: Definition & Types

4. Frequency Distributions: Definition & Types

This lesson explores the process of creating frequency distributions and histograms to give readers of your future scientific articles a numerical or visual way to understand the data you have presented.

Mean, Median & Mode: Measures of Central Tendency

5. Mean, Median & Mode: Measures of Central Tendency

By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.

Measures of Variability: Range, Variance & Standard Deviation

6. Measures of Variability: Range, Variance & Standard Deviation

Looking specifically at range, variance, and standard deviation, this lesson explores the relationship between these measures and samples, populations, and what it says about your data.

Inferential Statistics for Psychology Studies

7. Inferential Statistics for Psychology Studies

Psychology is a science, which means that in order to understand people's thoughts and behaviors, a basic understanding of statistics is necessary. Most psychology studies use inferential statistics. This lesson covers basic types of inferential statistics, as well as how to decide whether a hypothesis was supported by the results.

Hypothesis Testing: Comparing the Null & Alternative Hypothesis

8. Hypothesis Testing: Comparing the Null & Alternative Hypothesis

This lesson explores the process of comparing the null and the alternative hypothesis, as well as how to differentiate between the two after your testing is done.

Statistical Significance: Definition, Levels & Critical Regions

9. Statistical Significance: Definition, Levels & Critical Regions

This lesson explores the basic principle of statistical significance and why it is important to understand when performing nearly any statistical test.

Standardization and Norms of Psychological Tests

10. Standardization and Norms of Psychological Tests

Many psychological tests, including intelligence tests, are about comparing your score to others' scores to see how you did. Watch this lesson to find out about two important concepts in psychology: standardization and norms.

Types of Tests: Norm-Referenced vs. Criterion-Referenced

11. Types of Tests: Norm-Referenced vs. Criterion-Referenced

What's the best way to score tests? In this lesson, we'll look at two major types of tests that are scored differently from each other: norm-referenced and criterion-referenced tests.

Drawing Conclusions Based on Internal Validity

12. Drawing Conclusions Based on Internal Validity

When a researcher gets the results of their study back, how do they know that the independent variable caused the results? In this lesson, we'll look at how internal validity shapes the way researchers draw conclusions about their research.

Limits to Generalization of a Research Study

13. Limits to Generalization of a Research Study

What happens if a research study confirms the researcher's hypothesis? In this lesson, we'll look at the limits of generalizing from a single research study, including the importance of representativeness and replicability.

Interpreting a Non-Significant Outcome

14. Interpreting a Non-Significant Outcome

Research can take a lot of time for the person conducting it. So what happens when the statistics show that the results are not significant? In this lesson, we'll look at what a non-significant outcome means and what it doesn't mean.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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