Georgia GSE Statistical Reasoning

User Name: Password:	Worksheet Title: or fill in:
To keep server load down, there is a maximum of 100 questions per worksheet. Create Answer Sheet (Pop-Up Window) Show how to solve it! (Pop-Up Window) Mix up the problems. (Good for tests) Multiple Choice (Good for Standardized Test practice) Move Instructions into Problems Interactive Online Test (students only! Limited to 20 questions at a time)	Answer Blanks: Percent of problems with fractional coefficients (Only where applicable) Start Numbering with: (Whole Numbers only) Save this EasyFramework (Teacher Plus+ Account Only!) as a Condense - Leave no room for student work
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) Statistical Display and Models MSR.FQ.1-2 a. Descriptive vs. Inferential b. Qualitative vs. Quantitative c. Sample vs. Population d. Parameter vs. Statistic e. Statistical Terms Given Situations f. Circle Graphs g. Bar Graphs h. Dotplots i. Stem and Leaf Display j. Histograms k. Creating Grouped Frequency Distributions l. Cumulative Frequency Graphs m. Reading Ogives (Relative Cumulative Frequency Plots) n. Box and Whisker Plots o. Measuring Center: Median, Mean p. Measuring Spread: Range, Interquartile Range, Standard Deviation q. Measuring Mean for Frequency Distributions r. Measuring Standard Deviation for Frequency Distributions s. Measuring Position: Quartiles, Percentiles, and Midquartile t. Z-Scores u. Chebyshev's Theorem v. Empirical Rule (Random) Randomness MSR.CD.1-4 a. Census b. Sample Survey c. Experiment d. Observational Study e. Characteristics of Well-Designed and Well-Conducted surveys f. Populations, Samples, and Random Selection g. Sources of bias in Sampling and Surveys h. Sampling methods, including Simple Random Sampling, Stratified Random Sampling, and Cluster Sampling i. Characteristics of Well-Designed and Well-Conducted Experiments j. Treatments, Control Groups, Experimental Units, Random Assignments, and Replication k. Sources of Bias and Confounding, including Placebo Effect and Blinding l. Completely Random Design m. Randomized Block Design, Including Matched Pairs Design (Random) Analyzing Data Distributions MSR.AD.1-3 a. Center and Spread b. Clusters and Gaps c. Outliers and other Unusual Features d. Shape e. Situational Problems f. Measuring Center: Median, Mean g. Measuring Spread: Range, Interquartile Range, Standard Deviation h. Measuring Position: Quartiles, Percentiles, Standardized scores (z-scores)	i. Using Boxplots j. The Effect of Changing Units on Summary Measures k. Comparing Center and Spread l. Comparing Clusters and Gaps m. Comparing Outliers and other Unusual Features n. Comparing Shapes o. Analyzing patterns in scatterplots p. Correlation and Linearity q. Least Squares Regression Line r. Residual Plots, Outliers, and Influential Points s. Transformations to achieve Linearity (Logs and Powers) t. Frequency Tables and Bar Charts u. Marginal and Joint Frequencies for two-way Tables v. Conditional Relative Frequencies and Association (and Simpson's Paradox) w. Comparing Distributions Using Bar Charts (Random) Interpreting Results MSR.IR.1-2 a. Properties of Normal Distribution b. Using Tables of the Normal Distribution c. The Normal Distribution as a Model for Measures d. Sampling Distributions e. Sampling Distribution of a Sample Proportion f. Sampling Distribution of a Sample Mean g. Central Limit Theorem h. Sampling Distribution of a difference between two Independent Sample Proportions i. Sampling Distribution of a difference between two Independent Sample Means j. Simulation of Sampling Distributions k. t-Distribution l. Chi-Square Distribution m. Estimating Population Parameters and Margins of Error n. Properties of Point Estimators, including Unbiased and Variability o. Logic of Confidence Intervals, Meaning of Confidence Level and Confidence Intervals, and Properties of Confidence Intervals. p. Large Sample Confidence Interval for a Proportion q. Large Sample Confidence Interval for a difference between two Proportions r. Confidence Interval for a Mean s. Confidence Interval for a difference between two Means (paired and unpaired) t. Confidence Interval for the Slope of a Least-Squares Regression Line u. 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 v. Large Sample Test for a Proportion w. Large Sample Test for a Difference between two Proportions x. Test for a Mean y. Test for a Difference between two Means (paired and unpaired) z. Chi-Square test for Goodness of Fit, homogeneity of proportions, and independence (one- and two-way tables) aa. Test for the Slope of a Least-Squares Regression Line
Permissions - Can you photocopy these worksheets?