# AP Statistics

AP Statistics

Course Content

Unit 1: Exploring One-Variable Data

You’ll be introduced to how statisticians approach variation and practice representing data, describing distributions of data, and drawing conclusions based on a theoretical distribution.

Topics may include:

• Variation in categorical and quantitative variables
• Representing data using tables or graphs
• Calculating and interpreting statistics
• Describing and comparing distributions of data
• The normal distribution

On The Exam

15%–23% of Score

Unit 2: Exploring Two-Variable Data

You’ll build on what you’ve learned by representing two-variable data, comparing distributions, describing relationships between variables, and using models to make predictions.

Topics may include:

• Comparing representations of 2 categorical variables
• Calculating statistics for 2 categorical variables
• Representing bivariate quantitative data using scatter plots
• Describing associations in bivariate data and interpreting correlation
• Linear regression models
• Residuals and residual plots
• Departures from linearity

On The Exam

5%–7% of Score

Unit 3: Collecting Data

You’ll be introduced to study design, including the importance of randomization. You’ll understand how to interpret the results of well-designed studies to draw appropriate conclusions and generalizations.

Topics may include:

• Planning a study
• Sampling methods
• Sources of bias in sampling methods
• Designing an experiment
• Interpreting the results of an experiment

On The Exam

12%–15% of Score

Unit 4: Probability, Random Variables, and Probability Distributions

You’ll learn the fundamentals of probability and be introduced to the probability distributions that are the basis for statistical inference.

Topics may include:

• Using simulation to estimate probabilities
• Calculating the probability of a random event
• Random variables and probability distributions
• The binomial distribution
• The geometric distribution

On The Exam

10%–20% of Score

Unit 5: Sampling Distributions

As you build understanding of sampling distributions, you’ll lay the foundation for estimating characteristics of a population and quantifying confidence.

Topics may include:

• Variation in statistics for samples collected from the same population
• The central limit theorem
• Biased and unbiased point estimates
• Sampling distributions for sample proportions
• Sampling distributions for sample means

On The Exam

7%–12% of Score

Unit 6: Inference for Categorical Data: Proportions

You’ll learn inference procedures for proportions of a categorical variable, building a foundation of understanding of statistical inference, a concept you’ll continue to explore throughout the course.

Topics may include:

• Constructing and interpreting a confidence interval for a population proportion
• Setting up and carrying out a test for a population proportion
• Interpreting a p-value and justifying a claim about a population proportion
• Type I and Type II errors in significance testing
• Confidence intervals and tests for the difference of 2 proportions

On The Exam

12%–15% of Score

Unit 7: Inference for Quantitative Data: Means

Building on lessons learned about inference in Unit 6, you’ll learn to analyze quantitative data to make inferences about population means.

Topics may include:

• Constructing and interpreting a confidence interval for a population mean
• Setting up and carrying out a test for a population mean
• Interpreting a p-value and justifying a claim about a population mean
• Confidence intervals and tests for the difference of 2 population means

On The Exam

10%–18% of Score

Unit 8: Inference for Categorical Data: Chi-Square

You’ll learn about chi-square tests, which can be used when there are two or more categorical variables.

Topics may include:

• The chi-square test for goodness of fit
• The chi-square test for homogeneity
• The chi-square test for independence
• Selecting an appropriate inference procedure for categorical data

On The Exam

2%–5% of Score

Unit 9: Inference for Quantitative Data: Slopes

You’ll understand that the slope of a regression model is not necessarily the true slope but is based on a single sample from a sampling distribution, and you’ll learn how to construct confidence intervals and perform significance tests for this slope.

Topics may include:

• Confidence intervals for the slope of a regression model
• Setting up and carrying out a test for the slope of a regression model
• Selecting an appropriate inference procedure

On The Exam

2%–5% of Score

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Private Tutoring (Home Tutoring) for AP STATISTICS

It is for everyone who can prefer to study at home or at desired location. Whether you need comprehensive preparation or a boost in a few areas we’ll create a personalized plan that fits into your busy schedule. Face-to-face, personalized tutoring at your home or at another convenient location will help suit you. You set the schedule, and we’ll create your preparation plan for you.

Online Tutoring for AP STATISTICS

If you have a busy schedule or simply like the personalized attention you get working one-on-one, online private tutoring is right for you. We give one-on-one coaching from our most experienced and sought-after tutors, regardless of your location. For this you need only a computer/laptop and an Internet connection. You will feel a cutting-edge virtual classroom experience which extends beyond the classroom, to make your study process even easier and more efficient. Live online classes are conducted using the most advanced online learning platform in the industry.

Flexible Start Dates and Scheduling

Since our programs are completely customized, our students can start any time. We will put together the right program to take you from your start date to the day of your test, making the best use of time available. Additionally, you will have the freedom to schedule tutoring sessions on your schedule (including nights and weekends). For optimal results, students should plan to study for the AP STATISTICS for 3-5 months. However, we can design shorter or longer-term programs as well.

Complete Coaching for AP Statistics: ONLINE LIVE CLASSES

1. Full course covered for AP Statistics Test
2. Dynamic and Expert Faculties
3. Qualified and competent Teachers
4. Fully Targeted Exam Based Coaching
5. Each Topic to be discussed in Detail
6. Detailed Formulas and shortcut tricks
7.  Worksheet Practice Questions on Each topic
8.  Revision Tests (5 Mock Tests to be done by student)

Mode of Study:

• One-on-One Online lesson on Skype
• One-on-One Home Tuition (Selected areas only)

Course Duration:

• AP Statistics: 30-50hrs

Course Fee:  \$50-\$70/hour.