Ch 9: TECEP Principles of Statistics: Hypothesis Testing & Estimation

About This Chapter

This chapter covers the types of hypothesis testing and estimation questions you'll encounter on the TECEP Principles of Statistics exam. This chapter lays out the statistics terms, formulas and concepts you'll need to know to pass the test.

TECEP Principles of Statistics: Hypothesis Testing & Estimation - Chapter Summary

Students studying for the TECEP Principles of Statistics exam prepare for the types of hypothesis testing and estimation questions they'll need to answer with this study guide chapter. The skills covered in this chapter include:

  • Defining a null hypothesis
  • Summarizing the Z-test
  • Understanding type I and type II errors in hypothesis testing
  • Using degrees of freedom
  • Knowing the confidence interval formula
  • Finding confidence coefficients, levels and intervals
  • Applying normal distribution to find confidence intervals
  • Identifying levels of statistical significance
  • Calculating statistical significance
  • Interpreting effect size in hypothesis testing

Each lesson breaks down hypothesis concepts into easy-to-understand definitions, examples and sample problems. The lesson quizzes are designed to help you practice many hypothesis testing questions so you can confidently answer these types of questions on the test.

10 Lessons in Chapter 9: TECEP Principles of Statistics: Hypothesis Testing & Estimation
Test your knowledge with a 30-question chapter practice test
What is a Null Hypothesis? - Definition & Examples

1. What is a Null Hypothesis? - Definition & Examples

This lesson will give the definition of a null hypothesis, as well as an alternative hypothesis. Examples will be given to clearly illustrate the concept of a null hypothesis versus an alternative hypothesis.

Z Test: Formula & Example

2. Z Test: Formula & Example

In statistics, z-tests are calculations that can be used to compare sample and population means to see if there is a significant difference. In this lesson, you will learn about these useful statistical methods.

Type I & Type II Errors in Hypothesis Testing: Differences & Examples

3. Type I & Type II Errors in Hypothesis Testing: Differences & Examples

Watch this video lesson to learn about the two possible errors that you can make when performing hypothesis testing. You will see how important it is to really understand what these errors mean for your results.

Degrees of Freedom: Definition, Formula & Example

4. Degrees of Freedom: Definition, Formula & Example

Degrees of freedom is a mathematical equation used primarily in statistics, but also in mechanics, physics, and chemistry. In this lesson, explore how degrees of freedom can be used in statistics to determine if results are significant.

Confidence Interval: Definition, Formula & Example

5. Confidence Interval: Definition, Formula & Example

When calculating the mean or proportion for a population, using samples and confidence intervals can make the calculation more manageable. Learn more about this process in this lesson.

Calculating Confidence Intervals, Levels & Coefficients

6. Calculating Confidence Intervals, Levels & Coefficients

In this lesson, you're going to learn about confidence intervals, confidence levels, and coefficients, and how they relate to point estimates and interval estimates.

Finding Confidence Intervals with the Normal Distribution

7. Finding Confidence Intervals with the Normal Distribution

In this lesson, you're going to learn how to construct a confidence interval when the population's standard deviation is known and the population is normally distributed.

Statistical Significance: Definition & Levels

8. Statistical Significance: Definition & Levels

In this lesson, you will learn to define statistical significance as well as learn how it is determined. Following this lesson you will have the opportunity to test your knowledge with a short quiz.

Statistical Significance: Definition & Calculation

9. Statistical Significance: Definition & Calculation

Watch this video lesson to learn about statistical significance, and how it relates to surveys and other real world events. Also, learn how it is calculated, and how you can describe it to others.

Effect Size in Hypothesis Testing: Definition & Interpretation

10. Effect Size in Hypothesis Testing: Definition & Interpretation

Watch this video lesson to learn what effect size is when used in hypothesis testing. Also learn what significance it has in your testing. Learn how your data affects the effect size.

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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