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These math journal and/or note-taking activities introduce students to 9 units of statistics (over 290 pages of useful materials). They can be used for introduction of topics or to reflect/review what you have covered in class discussion. The problems listed in this activity packet build nicely on each other if introduced in the order that they appear. Our students enjoy filling them out and organizing them in their math journals so that they can refer back to them throughout the year. These activities are a great way to promote writing in math. Keys are included for reference.

We recently added a CCSS alignment guide to help you plan and prepare which you can access as a FREE download here:

**Statistics Supplementary Materials and Alignment Guide**

Scaffolded Note Sheets with Sample Teacher Keys for the following:

**Introduction to Statistics**

A Definition of Statistics

Data Sets

Matching Key Terms

Identifying Data Sets

Parameter or Sample Statistic?

Branches of Statistics

Types of Data

Data: Levels of Measurement

Identifying Levels of Measurement

Guidelines for Designing a Statistical Study

Methods of Data Collection

Deciding on the Method of Data Collection

Factors that Can Ruin Experimental Results

Techniques that Can Be Used to Get Unbiased Results

Sample Size and Replication

Defining Key Terms

Commonly Used Sampling Techniques

Determining Sampling Methods

Project: Evaluate the Data Collection in a Research Study

Plus 10 Interactive Math Notebook Foldable Activities

**Descriptive Statistics**

Frequency Distribution

Guidelines for Constructing a Frequency Distribution from a Data Set

Construct a Frequency Distribution

Additional Features for a Standard Frequency Distribution

Finding Midpoints, Relative Frequencies, and Cumulative Frequencies

Construct a Frequency Histogram

Construct a Frequency Polygon

Construct a Relative Frequency Histogram

Construct a Cumulative Frequency Graph (Ogive)

Construct a Stem-and-Leaf Plot

Construct a Stem-and-Leaf Plot (Two Rows for Each Stem)

Construct a Dot Plot

Construct a Pie Chart

Construct a Pareto Chart

Construct a Scatter Plot

Construct a Time Series Chart

Measures of Central Tendency

Finding Measures of Central Tendency

Outliers

Finding a Weighted Mean

Finding the Mean of a Frequency Distribution

The Shapes of Frequency Distributions

Finding the Range of a Data Set

Finding the Deviation of a Data Set

Finding the Mean Absolute Deviation

Finding the Population Variance and Standard Deviation

Finding the Sample Variance and Standard Deviation

Empirical Rule (Or 68-95-99.7 Rule)

Chebychev’s Theorem

Finding the Standard Deviation for Grouped Data

Using Midpoints of Classes to Find Standard Deviation

Quartiles of a Data Set

Interquartile Range (IQR)

Construct a Box-and-Whisker Plot

Deciles and Percentiles

Standard Score or Z-Score

Plus 22 Interactive Math Notebook Foldable Activities

**Probability**

Probability Experiment

Simple Event

Identifying Simple Events

Fundamental Counting Principal

Using the Fundamental Counting Principle

Types of Probability

Classical Probability

Finding Classical Probabilities

Empirical Probability

Finding Empirical Probabilities

Law of Large Numbers

Subjective Probability

Classifying Types of Probability

Range of Probabilities Rule

Probability of the Complement of an Event

Conditional Probability

Finding Conditional Probabilities

Independent vs. Dependent Events

Identifying Independent and Dependent Events

Multiplication Rule for the Probability of A and B

Mutually Exclusive Events

Are the Events Mutually Exclusive?

Addition Rule for the Probability of A and B

Using the Addition Rule for the Probability of A and B

Permutation

Permutations of n Objects Taken r at a Time

Distinguishable Permutations

Permutation vs. Combination

Combinations of n Objects Taken r at a Time

Plus 13 Interactive Math Notebook Foldable Activities

**Discrete Probability Distributions**

Random Variables

Discrete vs. Continuous Variables

Discrete Probability Distributions

How to Verify Probability Distributions

Verifying Probability Distributions

Probability Distributions (Example and Non Example)

Mean, Variance, and Standard Deviation of a Discrete Random Variable

Mean of a Discrete Random Variable

Finding the Mean of Discrete Random Variables

Variance of Discrete Random Variable

Finding the Variance of Discrete Random Variables

Standard Deviation of a Discrete Random Variable

Finding the Standard Deviation Given the Variance

Expected Value

Finding the Expected Value

Binomial Experiment

Binomial Probability Formula

Using the Binomial Probability Formula

Constructing a Binomial Distribution

Practice Constructing Binomial Distributions

Finding Binomial Probabilities Using Formulas

Graphing a Binomial Distribution

Population Parameters of a Binomial Distribution

Finding Mean, Variance, and Standard Deviation

The Geometric Distribution

Using the Geometric Distribution to Find Probabilities

The Poisson Distribution

Using the Poisson Distribution to Find Probabilities

Plus 10 Interactive Math Notebook Foldable Activities

**Normal Probability Distributions**

Continuous Probability Distributions

Normal Distribution

Probability Density Function

Mean and Standard Deviation of a Normal Curve

Interpreting graphs of Normal Distributions

The Standard Normal Distribution

Guidelines for Finding Areas Under the Standard Normal Curve

Finding the Area Under the Standard Normal Curve

Finding Probabilities for Normal Distributions

Practice Finding Probabilities for Normal Distributions

Finding a z-Score Given an Area

Practice Finding a z-Score Given an Area

Finding a z-Score Given a Percentile

Practice Finding a z-Score Given a Percentile

Transforming a z-Score to an x-Value

Finding an x-Value for a Given z-Score

Finding a Specific Data Value

Find the Sampling Distribution of Sample Means

The Central Limit Theorem

Using the Central Limit Theorem

Probability and the Central Limit Theorem

Finding Probabilities for Sampling Distributions

Finding Probabilities for x and x ̅

Normal Approximation to a Binomial Distribution

Using a Continuity Correction

Approximating a Binomial Probability

Plus 14 Interactive Math Notebook Foldable Activities

**Confidence Intervals**

Finding a Point Estimate

Math Terms: Interval Estimate, Level of Confidence, Critical Values

Matching Key Terms

Level of Confidence and z_c

Finding the Margin of Error

Confidence Intervals

Constructing Confidence Intervals

Determining a Minimum Sample Size

t-Distributions

Finding Critical Values of t

Constructing a Confidence Interval for a t-Distribution

Normal Distribution vs. t-Distribution

Finding a Point Estimate for p

Constructing a Confidence Interval for p

Finding a Minimum Sample Size to Estimate p

Chi-Square Distributions

Finding Critical Values for x^2

Constructing a Confidence Interval for a Variance and Standard Deviation

Plus 16 Interactive Notebook Activities!

**Hypothesis Testing With One Sample**

Hypothesis Testing

Statistical Hypothesis

Stating the Null and Alternative Hypotheses

Types of Errors

Identifying Type I and Type II Errors

Test Statistics

P-Value of a Hypothesis Test

Identifying the Nature of a Hypothesis Test

Decision Rule Based on P-Value

Interpreting a Decision

Steps for a Hypothesis Test Using P-Values

Writing the Hypotheses

Interpreting a P-Value

Finding the P-Value for a Hypothesis Test

Using P-Values for a z-Test

Hypothesis Testing Using P-Values

Rejection Regions and Critical Values

Finding Critical Values in a Normal Distribution

Using Rejection Regions for a z-Test

Testing Mean with a Large Sample

Critical Values in a t-Distribution

Test for a Mean (Sample less than 30,Standard Deviation Unknown)

Testing a Mean with a Small Sample

Using P-Values with t-Tests

z-Test for a Proportion p

Hypothesis Test for a Proportion

Critical Values for X^2-Test

X^2-Test for a Variance or Standard Deviation

Using a Hypothesis Test for the Population Variance

Using a Hypothesis Test for the Standard Deviation

Plus 20 Interactive Notebook Activities!

**Hypothesis Testing With Two Samples**

Independent and Dependent Samples

Independent or Dependent?

Null and Alternative Hypotheses for Two-Sample Hypothesis Test with Independent Samples

Conditions Necessary to Perform a z-Test for the Difference Between Means

Finding the Standardized Test Statistic and the Standard Error

Two-Sample z-Tests for the Difference Between Means

Conditions Necessary to Perform a Two-Sample t-Test for the Difference Between Means

Finding the Standardized Test Statistic and the Standard Error

Two-Sample t-Test for the Difference Between Means (Variances NOT Equal)

Two-Sample t-Test for the Difference Between Means (Variances Equal)

Conditions Necessary to Perform a Two-Sample Hypothesis Test with Dependent Samples

Using the t-Test for the Difference Between Means (Dependent Samples)

Conditions Necessary to Perform z-Test for the Difference Between Proportions

Sampling Distributions for the Difference Between Sample Proportions

Two-Sample z-Test for the Difference Between Proportions: Standardized Test Statistic

Two-Sample z-Test for the Difference Between Proportions

Plus 7 Interactive Notebook Activities!

**Correlation and Regression**

Correlation

Types of Correlation

Constructing a Scatter Plot

Correlation Coefficient

Calculating the Correlation Coefficient

Using a Table to Test a Population Correlation Coefficient p

The t-test for a Correlation Coefficient

Things Researchers Must Consider When Two Variables are Strongly Correlated

Using the t-Test for Correlation Coefficient

Regression Lines (Lines of Best Fit)

The Equation of a Regression Line

Finding the Equation for a Regression Line

Three Types of Variation about a Regression Line

Coefficient of Determination

Finding the Coefficient of Determination

Standard Error of Estimate

Finding the Standard Error of Estimate

Prediction Interval

Constructing a Prediction Interval

Plus 10 Interactive Notebook Activities!

**Related Products**

**HS Math Bundle Algebra 1 Geometry Algebra 2**

**Algebra Bundle**

** Geometry Bundle**

** Simple Proofs in Geometry Bundle**

**Algebra 2 Bundle**

**Pre-Calculus Add on for Algebra 2 INB Bundle**

**Pre-Calculus Bundle**

**If you like what you see, please click on the "Follow Me" star to learn about new products, sales, and more!

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We recently added a CCSS alignment guide to help you plan and prepare which you can access as a FREE download here:

Scaffolded Note Sheets with Sample Teacher Keys for the following:

A Definition of Statistics

Data Sets

Matching Key Terms

Identifying Data Sets

Parameter or Sample Statistic?

Branches of Statistics

Types of Data

Data: Levels of Measurement

Identifying Levels of Measurement

Guidelines for Designing a Statistical Study

Methods of Data Collection

Deciding on the Method of Data Collection

Factors that Can Ruin Experimental Results

Techniques that Can Be Used to Get Unbiased Results

Sample Size and Replication

Defining Key Terms

Commonly Used Sampling Techniques

Determining Sampling Methods

Project: Evaluate the Data Collection in a Research Study

Plus 10 Interactive Math Notebook Foldable Activities

Frequency Distribution

Guidelines for Constructing a Frequency Distribution from a Data Set

Construct a Frequency Distribution

Additional Features for a Standard Frequency Distribution

Finding Midpoints, Relative Frequencies, and Cumulative Frequencies

Construct a Frequency Histogram

Construct a Frequency Polygon

Construct a Relative Frequency Histogram

Construct a Cumulative Frequency Graph (Ogive)

Construct a Stem-and-Leaf Plot

Construct a Stem-and-Leaf Plot (Two Rows for Each Stem)

Construct a Dot Plot

Construct a Pie Chart

Construct a Pareto Chart

Construct a Scatter Plot

Construct a Time Series Chart

Measures of Central Tendency

Finding Measures of Central Tendency

Outliers

Finding a Weighted Mean

Finding the Mean of a Frequency Distribution

The Shapes of Frequency Distributions

Finding the Range of a Data Set

Finding the Deviation of a Data Set

Finding the Mean Absolute Deviation

Finding the Population Variance and Standard Deviation

Finding the Sample Variance and Standard Deviation

Empirical Rule (Or 68-95-99.7 Rule)

Chebychev’s Theorem

Finding the Standard Deviation for Grouped Data

Using Midpoints of Classes to Find Standard Deviation

Quartiles of a Data Set

Interquartile Range (IQR)

Construct a Box-and-Whisker Plot

Deciles and Percentiles

Standard Score or Z-Score

Plus 22 Interactive Math Notebook Foldable Activities

Probability Experiment

Simple Event

Identifying Simple Events

Fundamental Counting Principal

Using the Fundamental Counting Principle

Types of Probability

Classical Probability

Finding Classical Probabilities

Empirical Probability

Finding Empirical Probabilities

Law of Large Numbers

Subjective Probability

Classifying Types of Probability

Range of Probabilities Rule

Probability of the Complement of an Event

Conditional Probability

Finding Conditional Probabilities

Independent vs. Dependent Events

Identifying Independent and Dependent Events

Multiplication Rule for the Probability of A and B

Mutually Exclusive Events

Are the Events Mutually Exclusive?

Addition Rule for the Probability of A and B

Using the Addition Rule for the Probability of A and B

Permutation

Permutations of n Objects Taken r at a Time

Distinguishable Permutations

Permutation vs. Combination

Combinations of n Objects Taken r at a Time

Plus 13 Interactive Math Notebook Foldable Activities

Random Variables

Discrete vs. Continuous Variables

Discrete Probability Distributions

How to Verify Probability Distributions

Verifying Probability Distributions

Probability Distributions (Example and Non Example)

Mean, Variance, and Standard Deviation of a Discrete Random Variable

Mean of a Discrete Random Variable

Finding the Mean of Discrete Random Variables

Variance of Discrete Random Variable

Finding the Variance of Discrete Random Variables

Standard Deviation of a Discrete Random Variable

Finding the Standard Deviation Given the Variance

Expected Value

Finding the Expected Value

Binomial Experiment

Binomial Probability Formula

Using the Binomial Probability Formula

Constructing a Binomial Distribution

Practice Constructing Binomial Distributions

Finding Binomial Probabilities Using Formulas

Graphing a Binomial Distribution

Population Parameters of a Binomial Distribution

Finding Mean, Variance, and Standard Deviation

The Geometric Distribution

Using the Geometric Distribution to Find Probabilities

The Poisson Distribution

Using the Poisson Distribution to Find Probabilities

Plus 10 Interactive Math Notebook Foldable Activities

Continuous Probability Distributions

Normal Distribution

Probability Density Function

Mean and Standard Deviation of a Normal Curve

Interpreting graphs of Normal Distributions

The Standard Normal Distribution

Guidelines for Finding Areas Under the Standard Normal Curve

Finding the Area Under the Standard Normal Curve

Finding Probabilities for Normal Distributions

Practice Finding Probabilities for Normal Distributions

Finding a z-Score Given an Area

Practice Finding a z-Score Given an Area

Finding a z-Score Given a Percentile

Practice Finding a z-Score Given a Percentile

Transforming a z-Score to an x-Value

Finding an x-Value for a Given z-Score

Finding a Specific Data Value

Find the Sampling Distribution of Sample Means

The Central Limit Theorem

Using the Central Limit Theorem

Probability and the Central Limit Theorem

Finding Probabilities for Sampling Distributions

Finding Probabilities for x and x ̅

Normal Approximation to a Binomial Distribution

Using a Continuity Correction

Approximating a Binomial Probability

Plus 14 Interactive Math Notebook Foldable Activities

Finding a Point Estimate

Math Terms: Interval Estimate, Level of Confidence, Critical Values

Matching Key Terms

Level of Confidence and z_c

Finding the Margin of Error

Confidence Intervals

Constructing Confidence Intervals

Determining a Minimum Sample Size

t-Distributions

Finding Critical Values of t

Constructing a Confidence Interval for a t-Distribution

Normal Distribution vs. t-Distribution

Finding a Point Estimate for p

Constructing a Confidence Interval for p

Finding a Minimum Sample Size to Estimate p

Chi-Square Distributions

Finding Critical Values for x^2

Constructing a Confidence Interval for a Variance and Standard Deviation

Plus 16 Interactive Notebook Activities!

Hypothesis Testing

Statistical Hypothesis

Stating the Null and Alternative Hypotheses

Types of Errors

Identifying Type I and Type II Errors

Test Statistics

P-Value of a Hypothesis Test

Identifying the Nature of a Hypothesis Test

Decision Rule Based on P-Value

Interpreting a Decision

Steps for a Hypothesis Test Using P-Values

Writing the Hypotheses

Interpreting a P-Value

Finding the P-Value for a Hypothesis Test

Using P-Values for a z-Test

Hypothesis Testing Using P-Values

Rejection Regions and Critical Values

Finding Critical Values in a Normal Distribution

Using Rejection Regions for a z-Test

Testing Mean with a Large Sample

Critical Values in a t-Distribution

Test for a Mean (Sample less than 30,Standard Deviation Unknown)

Testing a Mean with a Small Sample

Using P-Values with t-Tests

z-Test for a Proportion p

Hypothesis Test for a Proportion

Critical Values for X^2-Test

X^2-Test for a Variance or Standard Deviation

Using a Hypothesis Test for the Population Variance

Using a Hypothesis Test for the Standard Deviation

Plus 20 Interactive Notebook Activities!

Independent and Dependent Samples

Independent or Dependent?

Null and Alternative Hypotheses for Two-Sample Hypothesis Test with Independent Samples

Conditions Necessary to Perform a z-Test for the Difference Between Means

Finding the Standardized Test Statistic and the Standard Error

Two-Sample z-Tests for the Difference Between Means

Conditions Necessary to Perform a Two-Sample t-Test for the Difference Between Means

Finding the Standardized Test Statistic and the Standard Error

Two-Sample t-Test for the Difference Between Means (Variances NOT Equal)

Two-Sample t-Test for the Difference Between Means (Variances Equal)

Conditions Necessary to Perform a Two-Sample Hypothesis Test with Dependent Samples

Using the t-Test for the Difference Between Means (Dependent Samples)

Conditions Necessary to Perform z-Test for the Difference Between Proportions

Sampling Distributions for the Difference Between Sample Proportions

Two-Sample z-Test for the Difference Between Proportions: Standardized Test Statistic

Two-Sample z-Test for the Difference Between Proportions

Plus 7 Interactive Notebook Activities!

Correlation

Types of Correlation

Constructing a Scatter Plot

Correlation Coefficient

Calculating the Correlation Coefficient

Using a Table to Test a Population Correlation Coefficient p

The t-test for a Correlation Coefficient

Things Researchers Must Consider When Two Variables are Strongly Correlated

Using the t-Test for Correlation Coefficient

Regression Lines (Lines of Best Fit)

The Equation of a Regression Line

Finding the Equation for a Regression Line

Three Types of Variation about a Regression Line

Coefficient of Determination

Finding the Coefficient of Determination

Standard Error of Estimate

Finding the Standard Error of Estimate

Prediction Interval

Constructing a Prediction Interval

Plus 10 Interactive Notebook Activities!

**If you like what you see, please click on the "Follow Me" star to learn about new products, sales, and more!

How to earn TPT Credits:

"Earn TpT Credits for purchases on TpT. You get one TpT Credit for every $ you spend on TpT. Thing is, you only get the Credits after you Provide Feedback -- both a fair rating and a fair comment -- on the items that you purchase. We will round up for you, too! If you provide fair feedback on a $4.75 item, you will earn 5 credits. Every 100 Credits is worth $5 that you can apply towards future TpT purchases, but there is no need to wait until you have 100 to redeem them. 50 credits is worth $2.50, for example."--TPT Credits Page

Total Pages

291 pages

Answer Key

N/A

Teaching Duration

N/A

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