Name: Sampling Methods and Sources of Bias
Uploaded: 2019-09-25T03:00:00.000Z
Duration: T00H45M50S

AP Statistics

We review the purpose of surveys/sampling, meet three "good" random sampling methods (simple random, cluster, and stratified samples), and discuss possible sources of bias in sampling/surveys (non-representative samples, response bias, and nonresponse)

Sampling Methods and Sources of Bias

Administration 1

AP Stats Exam Prep 2021 | Reviews + Free Study Help | Fiveable

Dive into unit 1 of AP Statistics: Exploring One Variable Data! Start the course by learning about displaying and describing categorical data, normal distributions, and analyzing graphs. With these helpful study guides, review videos, and slides, you'll be prepared to do well on the AP exam!

Unit 1: Exploring One-Variable Data

This is an overview of unit 2 of AP Statistics: Exploring Two Variable Data. Dive into bivariate data, causation vs. correlation, residuals, and linear regression models and build upon your unit 1 knowledge!

Unit 2: Exploring Two-Variable Data

Dive into unit 3 of AP Statistics: Collecting Data! Learn how to design and plan experiments and studies and how to choose sampling data. We also go over source bias and causation vs. correlation.

Unit 3: Collecting Data

Explore unit 4 of AP Statistics: Probability. Learn all about the binomial distribution, binomial and geometric distributions, conditional probability, and mutually exclusive events!

Unit 4: Probability, Random Variables, and Probability Distributions

Master unit 5 of AP Statistics: Sampling Distributions with our extensive resources! Learn about the cental limit theorem, point estimates, and how to use sampling distributions for sample means and proportions with our resources! 

Unit 5: Sampling Distributions

Dig deep into unit 6 of AP Statistics—Inference for Categorical Data: Proportions. Set up confidence intervals and become a pro at conducting significance tests for proportions!

Unit 6: Inference for Categorical Data: Proportions

This is an overview of unit 7 of AP Statistics—inference for qualitative data: means. Build upon unit 6 and learn how to set up confidence intervals and significance tests for means! We also have resources to help you gauge when and how to use t and z tests.

Unit 7: Inference for Qualitative Data: Means

Master unit 8 of AP Statistics—inference for categorical data: chi square! With our comprehensive resources, learn how to use the chi-square statistic for hypothesis testing! We also cover how to use the formula sheet on test day.

Unit 8: Inference for Categorical Data: Chi-Square

Finish up AP Stats with unit 9\—inference for quanitative data: slopes. Learn how to set up confidence intervals and conduct significance tests for slopes of regression models! Use our resources to review important formulas and equations and become prepared for exam day!

Unit 9: Inference for Quantitative Data: Slopes

Frequently Asked Questions

With these resources, you'll be ready to ace the multiple choice question section on the AP Statistics exam! We cover key concepts, important equations, logistics, and even exam strategies. You'll also be able to practice your skills with practice questions and be ready for exam day!

Multiple Choice Questions (MCQs)

With our resources, learn how to master the free response question section on the AP Statistics exam featuring practice prompts with student responses and teacher feedback, logistics, key concepts, and helpful tips, you'll be ready to ace the exam. We also go through the rubric and key equations. 

Free Response Questions (FRQs)

Exam Reviews 2020

Confused about something and have questions? Our comprehensive question and answer sessions are sure to help you answer those questions and prepare for the AP statistics exam! Come with your questions ready!

Q & A sessions

This is a thorough review of the AP Statistics course, including reviews of each of the units, key concepts, exam strategies, and other tips and tricks, you'll have everything you need to be prepared for any AP statistics exams!

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Sampling Methods and Sources of Bias

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