AP Statistics Easy Worksheet™

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Select the number of each type of objective: (Selecting Random will randomly generate all subtypes) Click on any title to see the free sample worksheet. (only the first few samples are free) (Random) Preliminary Info a. Stem and Leaf Plots b. Dot Plots c. Bar Graphs and Histograms d. Frequency and Relative Frequency Graphs e. Cumulative Frequency Graphs f. Quartiles and IQR g. Modified Box Plots h. Reading Ogives (Relative Cumulative Frequency Plots) A (Random) Interpreting Graphical Displays a. Center and Spread b. Clusters and Gaps c. Outliers and other Unusual Features d. Shape e. Situational Problems B (Random) Summarizing distributions a. Measuring Center: Median, Mean b. Measuring Spread: Range, Interquartile Range, Standard Deviation c. Measuring Position: Quartiles, Percentiles, Standardized scores (z-scores) d. Using Boxplots e. The Effect of Changing Units on Summary Measures C (Random) Comparing Distributions a. Comparing Center and Spread b. Comparing Clusters and Gaps c. Comparing Outliers and other Unusual Features d. Comparing Shapes D (Random) Exploring Bivariate Data a. Analyzing patterns in scatterplots b. Correlation and Linearity c. Least Squares Regression Line d. Residual Plots, Outliers, and Influential Points e. Transformations to achieve Linearity (Logs and Powers) E (Random) Frequency Tables a. Frequency Tables and Bar Charts b. Marginal and Joint Frequencies for two-way Tables c. Conditional Relative Frequencies and Association (and Simpson's Paradox) d. Comparing Distributions Using Bar Charts F (Random) Methods of Data Collection a. Census b. Sample Survey c. Experiment d. Observational Study G (Random) Planning and Conducting Surveys a. Characteristics of Well-Designed and Well-Conducted surveys b. Populations, Samples, and Random Selection c. Sources of bias in Sampling and Surveys d. Sampling methods, including Simple Random Sampling, Stratified Random Sampling, and Cluster Sampling H (Random) Planning and Conducting Experiments a. Characteristics of Well-Designed and Well-Conducted Experiments b. Treatments, Control Groups, Experimental Units, Random Assignments, and Replication c. Sources of Bias and Confounding, including Placebo Effect and Blinding d. Completely Random Design e. Randomized Block Design, Including Matched Pairs Design	I (Random) Probability as Relative Frequency a. Interpreting Probability, including Long-Run Relative Frequency Interpretation b. "Law of Large Numbers" concept c. Addition Rule, Multiplication Rule, Conditional Probabilities, and Independence d. Discrete Random Variables and their Probability Distributions (including Binomial and Geometric) e. Simulation of Random Behavior and Probability Distributions f. Mean (Expected Value) and Standard Deviation of a Random Variable and Linear Transformation of a Random Variable J (Random) Combining Independent Random Variables a. Notion of Independence vs. Dependence b. Mean and Standard Deviation for Sums and Differences of Independent Random Variables K (Random) The Normal Distribution a. Properties of Normal Distribution b. Using Tables of the Normal Distribution c. The Normal Distribution as a Model for Measures L (Random) Sampling Distributions a. Sampling Distributions b. Sampling Distribution of a Sample Proportion c. Sampling Distribution of a Sample Mean d. Central Limit Theorem e. Sampling Distribution of a difference between two Independent Sample Proportions f. Sampling Distribution of a difference between two Independent Sample Means g. Simulation of Sampling Distributions h. t-Distribution i. Chi-Square Distribution M (Random) Estimation a. Estimating Population Parameters and Margins of Error b. Properties of Point Estimators, including Unbiased and Variability c. Logic of Confidence Intervals, Meaning of Confidence Level and Confidence Intervals, and Properties of Confidence Intervals. d. Large Sample Confidence Interval for a Proportion e. Large Sample Confidence Interval for a difference between two Proportions f. Confidence Interval for a Mean g. Confidence Interval for a difference between two Means (paired and unpaired) h. Confidence Interval for the Slope of a Least-Squares Regression Line N (Random) Tests of Significance a. Logic of Significance Testing, Null and Alternative Hypotheses; p-values, one- and two- Sided Tests; Concepts of Type I and Type II errors; Concept of Power b. Large Sample Test for a Proportion c. Large Sample Test for a Difference between two Proportions d. Test for a Mean e. Test for a Difference between two Means (paired and unpaired) f. Chi-Square test for Goodness of Fit, homogeneity of proportions, and independence (one- and two-way tables) g. Test for the Slope of a Least-Squares Regression Line
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