Probability and 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) A (Random) What is Statistics? a. Descriptive vs. Inferential b. Qualitative vs. Quantitative c. Sample vs. Population d. Parameter vs. Statistic e. Statistical Terms Given Situations B (Random) Displaying Data a. Circle Graphs b. Bar Graphs c. Dotplots d. Stem and Leaf Display e. Histograms f. Creating Grouped Frequency Distributions g. Cumulative Frequency Graphs h. Reading Ogives (Relative Cumulative Frequency Plots) i. Box and Whisker Plots C (Random) Numerical Descriptions of Data a. Measuring Center: Median, Mean b. Measuring Spread: Range, Interquartile Range, Standard Deviation c. Measuring Mean for Frequency Distributions d. Measuring Standard Deviation for Frequency Distributions e. Measuring Position: Quartiles, Percentiles, and Midquartile f. Z-Scores g. Chebyshev's Theorem h. Empirical Rule D (Random) Exploring Bivariate Data a. Contingency Tables b. Scatterplots (scatter diagrams) c. Linear Correlation d. Linear Regression e. Predicting with Linear Regression E (Random) Probability a. Empirical vs. Theoretical vs. Subjective Probability b. Law of Large Numbers c. Finding Sample Space	d. Mutually Exclusive and Basic Probabilities e. Finding Probability of Independent Events f. Finding Probability of Dependent Events g. Identifying Permutations and Combinations h. Calculating Permutations (And other cases where order matters) i. Calculating Combinations j. Calculating Rearrangements of Words k. Using Formulas F (Random) Probability Distributions a. Discrete vs. Continuous Random Variables b. Probability Distributions c. Mean of a Discrete Random Variable d. Variance and Standard Deviation of a Discrete Random Variable e. Definition of a Binomial Probability Distribution f. Mean and Standard Deviation of Binomial Distributions G (Random) Normal Distributions a. Properties of Normal and Standard Normal Distributions b. Using Tables of the Normal Distribution (given z-score) c. Using Tables of the Normal Distribution (given a sample piece of data) d. Using Tables of the Normal Distribution (given probability) e. Finding z(_probability) f. Approximating Binomial Distributions H (Random) Sampling a. Properties of the Sampling Distribution of Sample Means b. Central Limit Theorem I (Random) Basic Inference a. Confidence Interval Vocabulary and Relation to z-scores b. Steps for Finding a Confidence Interval c. Finding a Confidence Interval for μ (σ known) d. Determining Sample Size needed e. Hypothesis Testing Vocabulary f. Type I Vs. Type II Error g. Steps for doing a Hypothesis Test h. Doing a Hypothesis Test of μ (σ known)
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