AP Statistics Tutor – Expert Online Coaching to Ace the AP Exam

Topics include:

• 1.1 Introducing Statistics: What Can We Learn from Data?
• 1.2 Variables
• 1.3 Tabular representation and summary statistics for one categorical variable
• 1.4 Graphical representations for one categorical variable
• 1.5 Graphical representations for one quantitative variable
• 1.6 Descriptions for one quantitative variable distributions
• 1.7 Summary statistics for one quantitative variable
• 1.8 Graphical representations of summary statistics for one quantitative variable
• 1.9 Comparisons of the distributions for one quantitative variable
• 1.10 The investigative question revisited and data collection
• 1.11 Random sampling
• 1.12 Potential problems with sampling
• 1.13 Experimental design
• Progress Check 1
  • Multiple-choice: 44 questions
  • Free-response: 3 questions
  • Question 1: Multi-Focus on Practices 1 and 2
  • Question 2: Multi-Focus on Practices 3 and 4
  • Question 3: Multi-Focus on Practices 3 and 4

On The Exam 15%–23% of exam score

Topics include:

• 2.1 Tabular and graphical representations for the distribution of two categorical variables
• 2.2 Summary statistics for two categorical variables
• 2.3 Estimating probabilities using simulation
• 2.4 Introduction to probability
• 2.5 Mutually exclusive events
• 2.6 Conditional probability
• 2.7 Independent events and unions of events
• 2.8 Introduction to random variables and probability distributions
• 2.9 Parameters of random variables
• 2.10 The binomial distribution
• 2.11 The normal distribution
• 2.12 Sampling distributions and the central limit theorem
• Progress Check 2
  • Multiple-choice: 42 questions
  • Free-response: 2 questions
  • Question 1: Multi-Focus on Practices 2 and 4
  • Question 2: Multi-Focus on Practices 3 and 4

On The Exam 15%–25% of exam score

Topics include:

• 3.1 Estimators
• 3.2 Sampling distributions for sample proportions
• 3.3 Constructing a confidence interval for a population proportion
• 3.4 Justifying a claim based on a confidence interval for a population proportion
• 3.5 Setting up a test for a population proportion
• 3.6 p-values
• 3.7 Carrying out a test for a population proportion
• 3.8 Potential errors when performing tests
• 3.9 Sampling distributions for the difference between sample proportions
• 3.10 Constructing a confidence interval for the difference between two population proportions
• 3.11 Justifying a claim based on a confidence interval for the difference between two population proportions
• 3.12 Setting up a test for the difference between two population proportions
• 3.13 Carrying out a test for the difference between two population proportions
• 3.14 Setting up a chi-square test for homogeneity or independence
• 3.15 Carrying out a chi-square test for homogeneity or independence
• 3.16 Selecting an appropriate inference procedure
• Progress Check 3
  • Multiple-choice: 45 questions
  • Free-response: 3 questions
  • Question 1: Inference
  • Question 2: Inference
  • Question 3: Inference

On The Exam 15%–25% of exam score

Topics include:

• 4.1 Sampling distributions for sample means
• 4.2 Constructing a confidence interval for a population mean or population mean difference
• 4.3 Justifying a claim based on a confidence interval for a population mean or population mean difference
• 4.4 Setting up a test for a population mean or population mean difference
• 4.5 Carrying out a test for a population mean or population mean difference
• 4.6 Sampling distributions for the difference between two sample means
• 4.7 Constructing a confidence interval for the difference between two population means
• 4.8 Justifying a claim based on a confidence interval for the difference between two population means
• 4.9 Setting up a test for the difference between two population means
• 4.10 Selecting an appropriate inference procedure for means
• 4.11 Carrying out a test for the difference between two population means
• Progress Check 4
  • Multiple-choice: 49 questions
  • Free-response: 3 questions
  • Question 1: Inference
  • Question 2: Inference
  • Question 3: Inference

On The Exam 10%–20% of exam score

Topics include:

• 5.1 Graphical representations between two quantitative variables
• 5.2 Correlation
• 5.3 Linear regression models
• 5.4 Residuals
• 5.5 Least-squares regression
• Progress Check 5
  • Multiple-choice: 19 questions
  • Free-response: 2 questions
  • Question 1: Multi-Focus on Practices 2, 3, and 4
  • Question 2: Multi-Focus on Practices 2, 3, and 4

On The Exam 10%–20% of exam score