# Ch 36: NYSTCE Mathematics: Sampling & Prediction

This chapter on sampling and prediction is a great way to prepare for the related material on the NYSTCE Mathematics exam, with video lessons taught by professional instructors guiding you towards a bolstered test-readiness.

## NYSTCE Mathematics: Sampling and Prediction - Chapter Summary

This chapter takes you through the role of sampling and prediction in several mathematical operations with the intent to prepare you for related questions on the NYSTCE Mathematics exam. These lessons will address random sampling, the law of large numbers, and chi-square tests. Additionally, by the end of this chapter, you can expect to have strengthened your readiness for questions involving:

• The central limit theorem and sampling distribution
• Interpreting confidence intervals for sample means
• How to determine the sample size to estimate confidence intervals
• Student t distribution
• Using the t distribution to find confidence intervals
• Hypothesis testing
• Relationship between confidence intervals and hypothesis tests
• Properties of algorithms

Each lesson includes both a video and transcript of the content, allowing you to learn the way that fits you best. And after you're through reviewing the lessons, you'll be able to check your comprehension of them with a practice quiz that you can also print as a worksheet to study with offline.

15 Lessons in Chapter 36: NYSTCE Mathematics: Sampling & Prediction
Test your knowledge with a 30-question chapter practice test
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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