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Get better marks with our complete help for AP Statistics! Our statistics tutors got you all covered with all topics you will see in any typical AP Statistics classes.

Aligning with the AP Statistics curriculum by College Board, our comprehensive statistics help covers content in all four major themes including Exploring data; Sampling and Experimentation; Anticipating patterns using probability and simulation; and Statistical inference. Learn the concepts with our video tutorials that show you step-by-step solutions to even the hardest statistics problems. Then, strengthen your understanding with tons of ap stats practice questions.

All our lessons are taught by experienced statistics teachers. Let’s finish your statistics homework in no time, and ACE that AP Statistics exam!

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Common Questions
My AP statistics textbook is called Mind on Statistics and I’m doing the ap statistics review. Do you have the help?

Sure! We cover all materials you will be tested in the AP stats exam. Students who use any stats textbooks that meet the content requirements of the AP course will find all the stats help they need in our AP stars course too (see sample textbook list.). To save your precious study time, you can skip, review and learn any materials anytime based on your needs.

What is the prerequisite of this AP stats course?

As AP Statistics is the equivalent of a one-semester introductory college statistics course, it is advised that you should take College Algebra before enrolling in this course.

How should I start my AP Stats review?

You can first test yourself with this sample past AP Statistics free response questions and AP Statistics multiple choice questions here to see which areas and topics you need to focus more on. Then, watch our video lessons and work on the practice questions for review and better understanding.

What should I expect on the AP Statistics exam?

You will be tested on four main areas in stats: Exploring Data (20% to 30%), Sampling and Experimentation (10% to 15%), Anticipating patterns (20% to 30%), and Statistical inference (30% to 40%). The exam will be three hours long and divided into two sections. Section 1 contains 40 multiple-choice questions and is worth 50% of the exam score. You will be given one hour and thirty minutes to complete this section. In section 2, there are six questions in total – five short-answer questions and one investigate task. Section 2 is also worth 50% of the exam score and you will have one and a half hour to finish it.

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AP Statistics Topics

1Basic Concepts

1.1Classification of data
1.2Sampling methods
1.3Census and bias

2Data Representation

2.1Frequency distribution and histograms
2.2Frequency polygons
2.3Shapes of distributions

3Data Interpretation

3.1Center of a data set: mean, median, mode
3.2Spread of a data set - standard deviation & variance
3.3Measures of relative standing - z-score, quartiles, percentiles
3.4Bivariate, scatter plots and correlation
3.5Regression analysis
3.6Equation of the best fit line

4Probability

4.1Addition rule for "OR"
4.2Multiplication rule for "AND"
4.3Conditional probability
4.4Probability with permutations and combinations
4.5Law of total probability
4.6Bayes' rule

5Set Theory

5.1Set notation
5.2Set builder notation

6Discrete Probabilities

6.1Probability distribution - histogram, mean, variance & standard deviation
6.2Binomial distribution
6.3Mean and standard deviation of binomial distribution
6.4Geometric distribution
6.5Hypergeometric distribution
6.6Properties of expectation

7Normal Distribution and Z-Scores

7.1Introduction to normal distribution
7.2Normal distribution and continuous random variable
7.3Z-scores and random continuous variables
7.4Sampling distributions
7.5Central limit theorem
7.6Rare event rule

8Confidence Intervals

8.1Point estimates
8.2Confidence levels and critical values
8.3Margin of error
8.4Making a confidence interval
8.5Confidence intervals to estimate population mean
8.6Student's t-distribution
8.7Chi-Squared confidence intervals

9Hypothesis Testing

9.1Null hypothesis and alternative hypothesis
9.2Proving claims
9.3Confidence levels, significance levels and critical values
9.4Test statistics
9.5Traditional hypothesis testing
9.6P-value hypothesis testing
9.7Mean hypothesis testing with t-distribution
9.8Type 1 and type 2 errors
9.9Chi-square goodness of fit test
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