Practice by Topic
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Unit 1: Exploring One-Variable Data (50) 0
  • Variation in categorical and quantitative variables 10 0
  • Representing data using tables or graphs 10 0
  • Calculating and interpreting statistics 10 0
  • Describing and comparing distributions of data 10 0
  • The normal distribution 10 0
Unit 2: Exploring Two-Variable Data (70) 0
  • Comparing representations of 2 categorical variables 10 0
  • Calculating statistics for 2 categorical variables 10 0
  • Representing bivariate quantitative data using scatter plots 10 0
  • Describing associations in bivariate data and interpreting correlation 10 0
  • Linear regression models 10 0
  • Residuals and residual plots 10 0
  • Departures from linearity 10 0
Unit 3: Collecting Data (50) 0
  • Planning a study 10 0
  • Sampling methods 10 0
  • Sources of bias in sampling methods 10 0
  • Designing an experiment 10 0
  • Interpreting the results of an experiment 10 0
Unit 4: Probability; Random Variables and Probability Distributions (50) 0
  • Using simulation to estimate probabilities 10 0
  • Calculating the probability of a random event 10 0
  • Random variables and probability distributions 10 0
  • The binomial distribution 10 0
  • The geometric distribution 10 0
Unit 5: Sampling Distributions (50) 0
  • Variation in statistics for samples collected from the same population 10 0
  • The central limit theorem 10 0
  • Biased and unbiased point estimates 10 0
  • Sampling distributions for sample proportions 10 0
  • Sampling distributions for sample means 10 0
Unit 6: Inference for Categorical Data: Proportions (50) 0
  • Constructing and interpreting a confidence interval for a population proportion 10 0
  • Setting up and carrying out a test for a population proportion 10 0
  • Interpreting a p-value and justifying a claim about a population proportion 10 0
  • Type I and Type II errors in significance testing 10 0
  • Confidence intervals and tests for the difference of 2 proportions 10 0
Unit 7: Inference for Quantitative Data: Means (40) 0
  • Constructing and interpreting a confidence interval for a population mean 10 0
  • Setting up and carrying out a test for a population mean 10 0
  • Interpreting a p-value and justifying a claim about a population mean 10 0
  • Confidence intervals and tests for the difference of 2 population means 10 0
Unit 8: Inference for Categorical Data: Chi-Square (40) 0
  • The chi-square test for goodness of fit 10 0
  • The chi-square test for homogeneity 10 0
  • The chi-square test for independence 10 0
  • Selecting an appropriate inference procedure for categorical data 10 0
Unit 9: Inference for Quantitative Data: Slopes (30) 0
  • Confidence intervals for the slope of a regression model 10 0
  • Setting up and carrying out a test for the slope of a regression model 10 0
  • Selecting an appropriate inference procedure 10 0