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Statistics & Probability Worksheets

This topic was reserved to older students for a very long time in many curriculum frameworks, but the common core standards introduces key skills in early middle school. It makes a great deal of sense because most of the new careers that have been created over the past two decades rely on understanding and manipulating data, just like this.

Addition Rule of Probability

Analyzing Plotted Functions

Analyzing Probabilities and Decisions

Calculating the Payoff of a Game of Chance

Comparing Two Data Sets

Conditional Probability

Correlation vs. Causation

Creating Probability Models

Determining Dependent and Independent Events

Estimating The Mean of Sample Surveys

Frequency and Data Distribution

Generate Math Frequencies Through Design

Graphing Probability Distributions

Identifying Random and Bias Data Samples

Interpreting Slope and Intercept

Interpreting Slope and Rate of Change In Context

Intersection and Union of Sets

Likelihood of a Single Event

Linear Function Word Problems

Making and Understanding Box and Whisker Plots

Making Inferences From Random Data

Mean and Standard Deviation Distributions

Mean, Median, and Range From Data Displays

Measures of Center and Variability

Measures of Mean, Median, Mode, and Range

Multiplication Rule of Probability

Outliers In Data Sets

Patterns of Association (Using Data Tables)

Permutations and Combinations

Predicting the Outcome of Events

Probability Distribution

Probability Distribution Based on Empirical Probabilities

Probabilities of Compound Events

Probability of a Chance Event

Probability Word Problems

Relative Conditional Probability

Scatter Plots for Bivariate Data

Scatter Plots of Linear Functions

Standard and Absolute Deviation

Statistical Variability in Data

Stem and Leaf Plots

Summarizing and Interpreting Data Sets

Summarizing Numerical Data Sets

The Attributes of Data and Units of Measure

The Expected Value of Random Variables

The Measure of Center of Data Sets

Two Way Tables

Understanding Data Displays

Understanding Random Sampling

Using Probabilities to Make Fair Decisions

Using Two-Way Tables

Using Straight Lines to Model Relationships

Validating Data Generating Processes

Working With Assessing Overlapping Data Sets