AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle

AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
AP Statistics Interactive Notebook Activities & Scaffolded Notes Bundle
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9 Products in this Bundle
9 products
    Bundle Description
    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.

    **Each product in this folder is in a zip file. Each zip file contains non-editable, PDF files.

    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!

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    Total Pages
    291 pages
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