# AP Statistics: Exam Prep

### Course Summary

This course provides a comprehensive overview of AP statistics concepts, including probability, sampling distribution, types of data and more. As you prepare for the exam, simply complete these short lessons and practice quizzes whenever you have free time to study.
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#### 15 chapters in AP Statistics: Exam Prep

Course Practice Test

Check your knowledge of this course with a 50-question practice test.
• Comprehensive test covering all topics
• Detailed video explanations for wrong answers
Week {{::cp.getGoalWeekForTopic(0, 15)}}
Ch 1. Types of Data {{cp.topicAssetIdToProgress[141133].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Descriptive & Inferential Statistics: Definition, Differences & Examples
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Lesson 2 - What is Quantitative Data? - Definition & Examples
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Lesson 3 - Categorical Data: Definition, Analysis & Examples
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Lesson 4 - Discrete & Continuous Data: Definition & Examples
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Lesson 5 - What is Bivariate Data? - Definition & Examples
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Lesson 6 - Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples
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Ch 2. Graphical Displays of Data {{cp.topicAssetIdToProgress[141134].percentComplete}}% complete
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Lesson 1 - Frequency & Relative Frequency Tables: Definition & Examples
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Lesson 2 - Cumulative Frequency Tables: Definition, Uses & Examples
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Lesson 3 - How to Calculate Percent Increase with Relative & Cumulative Frequency Tables
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Lesson 4 - Creating & Reading Stem & Leaf Displays
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Lesson 5 - Creating & Interpreting Histograms: Process & Examples
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Lesson 6 - Creating & Interpreting Frequency Polygons: Process & Examples
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Lesson 7 - Creating & Interpreting Dot Plots: Process & Examples
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Lesson 8 - Creating & Interpreting Box Plots: Process & Examples
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Lesson 9 - Understanding Bar Graphs and Pie Charts
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Lesson 10 - Making Arguments & Predictions from Univariate Data
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Lesson 11 - What is a Two-Way Table?
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Lesson 12 - Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples
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Week {{::cp.getGoalWeekForTopic(2, 15)}}
Ch 3. Data Summaries in Statistics {{cp.topicAssetIdToProgress[141135].percentComplete}}% complete
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Lesson 1 - What is the Center in a Data Set? - Definition & Options
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Lesson 2 - Mean, Median & Mode: Measures of Central Tendency
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Lesson 3 - How to Calculate Mean, Median, Mode & Range
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Lesson 4 - Calculating the Mean, Median, Mode & Range: Practice Problems
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Lesson 5 - Visual Representations of a Data Set: Shape, Symmetry & Skewness
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Lesson 6 - Unimodal & Bimodal Distributions: Definition & Examples
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Lesson 7 - The Mean vs the Median: Differences & Uses
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Lesson 8 - Spread in Data Sets: Definition & Example
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Lesson 9 - Maximums, Minimums & Outliers in a Data Set
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Lesson 10 - Quartiles & the Interquartile Range: Definition, Formulate & Examples
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Lesson 11 - Finding Percentiles in a Data Set: Formula & Examples
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Lesson 12 - Calculating the Standard Deviation
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Lesson 13 - The Effect of Linear Transformations on Measures of Center & Spread
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Lesson 14 - Ordering & Ranking Data: Process & Example
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Week {{::cp.getGoalWeekForTopic(4, 15)}}
Ch 5. Sample Types in Statistics {{cp.topicAssetIdToProgress[141137].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Samples & Populations in Research: Definition
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Lesson 2 - Population & Sample Variance: Definition, Formula & Examples
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Lesson 3 - What is Random Sampling? - Definition, Conditions & Measures
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Lesson 4 - Simple Random Samples: Definition & Examples
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Lesson 5 - Stratified Random Samples: Definition, Characteristics & Examples
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Lesson 6 - Cluster Random Samples: Definition, Selection & Examples
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Lesson 7 - Systematic Random Samples: Definition, Formula & Advantages
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Lesson 8 - Random Sampling vs. Quota Sampling
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Lesson 9 - Understanding the Law of Large Numbers
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Week {{::cp.getGoalWeekForTopic(5, 15)}}
Ch 6. Planning & Conducting Surveys {{cp.topicAssetIdToProgress[141138].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Characteristics of a Well-Designed & Well-Conducted Survey
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Lesson 2 - Difference between Populations & Samples in Statistics
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Lesson 3 - Estimating a Parameter from Sample Data: Process & Examples
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Lesson 4 - The Purpose of Statistical Models
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Lesson 5 - Random Selection & Random Allocation: Differences, Benefits & Examples
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Lesson 6 - Convenience Sampling in Statistics: Definition & Limitations
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Lesson 7 - Bias in Polls & Surveys: Definition, Common Sources & Examples
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Week {{::cp.getGoalWeekForTopic(6, 15)}}
Ch 7. Planning & Conducting Experiments {{cp.topicAssetIdToProgress[141140].percentComplete}}% complete
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Lesson 1 - True Experiment: Definition & Examples
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Lesson 2 - Characteristics of a Well-Designed and Well-Conducted Experiment
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Lesson 3 - What is a Control Group? - Definition and Use in Research
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Lesson 4 - How Randomized Experiments Are Designed
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Lesson 5 - Analyzing & Interpreting the Results of Randomized Experiments
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Lesson 6 - Confounding Variables in Statistics: Definition & Examples
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Lesson 7 - Bias in Statistics: Definition & Examples
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Lesson 8 - Placebo Effect: Definition & Explanation
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Lesson 9 - Two-Group Experimental Designs: Definition & Examples
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Lesson 10 - Matched-Group Design: Definition & Examples
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Lesson 11 - Multiple Group Design: Definition & Examples
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Week {{::cp.getGoalWeekForTopic(7, 15)}}
Ch 8. Generalization of Results & Conclusions {{cp.topicAssetIdToProgress[141142].percentComplete}}% complete
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Lesson 1 - Drawing Conclusions Based on Internal Validity
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Lesson 2 - Limits to Generalization of a Research Study
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Lesson 3 - Interpreting a Non-Significant Outcome
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Lesson 4 - Misleading Uses of Statistics
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Week {{::cp.getGoalWeekForTopic(8, 15)}}
Ch 9. Evaluating Probabilities {{cp.topicAssetIdToProgress[271093].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Mathematical Sets: Elements, Intersections & Unions
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Lesson 2 - Events as Subsets of a Sample Space: Definition & Example
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Lesson 3 - Probability of Simple, Compound and Complementary Events
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Lesson 4 - Probability of Independent and Dependent Events
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Lesson 5 - Probability of Independent Events: The 'At Least One' Rule
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Lesson 6 - How to Calculate Simple Conditional Probabilities
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Lesson 7 - The Relationship Between Conditional Probabilities & Independence
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Lesson 8 - Using Two-Way Tables to Evaluate Independence
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Lesson 9 - Applying Conditional Probability & Independence to Real Life Situations
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Lesson 10 - The Addition Rule of Probability: Definition & Examples
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Lesson 11 - The Multiplication Rule of Probability: Definition & Examples
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Lesson 12 - Math Combinations: Formula and Example Problems
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Lesson 13 - How to Calculate a Permutation
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Lesson 14 - How to Calculate the Probability of Permutations
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Lesson 15 - Relative Frequency & Classical Approaches to Probability
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Week {{::cp.getGoalWeekForTopic(9, 15)}}
Ch 10. Discrete Probability Distributions in Statistics {{cp.topicAssetIdToProgress[270525].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Random Variables: Definition, Types & Examples
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Lesson 2 - Finding & Interpreting the Expected Value of a Discrete Random Variable
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Lesson 3 - Developing Discrete Probability Distributions Theoretically & Finding Expected Values
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Lesson 4 - Developing Discrete Probability Distributions Empirically & Finding Expected Values
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Lesson 5 - Dice: Finding Expected Values of Games of Chance
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Lesson 6 - Blackjack: Finding Expected Values of Games of Chance with Cards
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Lesson 7 - Poker: Finding Expected Values of High Hands
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Lesson 8 - Poker: Finding Expected Values of Low Hands
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Lesson 9 - Lotteries: Finding Expected Values of Games of Chance
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Lesson 10 - Comparing Game Strategies Using Expected Values: Process & Examples
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Lesson 11 - How to Apply Discrete Probability Concepts to Problem Solving
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Lesson 12 - Binomial Experiments: Definition, Characteristics & Examples
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Lesson 13 - Finding Binomial Probabilities Using Formulas: Process & Examples
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Lesson 14 - Practice Problems for Finding Binomial Probabilities Using Formulas
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Lesson 15 - Finding Binomial Probabilities Using Tables
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Lesson 16 - Mean & Standard Deviation of a Binomial Random Variable: Formula & Example
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Lesson 17 - Solving Problems with Binomial Experiments: Steps & Example
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Week {{::cp.getGoalWeekForTopic(10, 15)}}
Ch 11. Continuous Probability Distributions in Statistics {{cp.topicAssetIdToProgress[270523].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Graphing Probability Distributions Associated with Random Variables
Score: {{cp.lessonAssetIdToProgress[14797].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14797].bestScoreQuestions}}  Take Quiz Optional
Lesson 2 - Finding & Interpreting the Expected Value of a Continuous Random Variable
Score: {{cp.lessonAssetIdToProgress[17302].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[17302].bestScoreQuestions}}  Take Quiz Optional
Lesson 3 - Developing Continuous Probability Distributions Theoretically & Finding Expected Values
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Lesson 4 - Probabilities as Areas of Geometric Regions: Definition & Examples
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Lesson 5 - Normal Distribution: Definition, Properties, Characteristics & Example
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Lesson 6 - Finding Z-Scores: Definition & Examples
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Lesson 7 - Estimating Areas Under the Normal Curve Using Z-Scores
Score: {{cp.lessonAssetIdToProgress[14813].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14813].bestScoreQuestions}}  Take Quiz Optional
Lesson 8 - Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples
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Lesson 9 - Using the Normal Distribution: Practice Problems
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Lesson 10 - Using Normal Distribution to Approximate Binomial Probabilities
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Lesson 11 - How to Apply Continuous Probability Concepts to Problem Solving
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Week {{::cp.getGoalWeekForTopic(12, 15)}}
Ch 13. Statistical Estimation & Confidence Intervals {{cp.topicAssetIdToProgress[141144].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Point & Interval Estimations: Definition & Differences
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Lesson 2 - Calculating Confidence Intervals, Levels & Coefficients
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Lesson 3 - Finding Confidence Intervals with the Normal Distribution
Score: {{cp.lessonAssetIdToProgress[145796].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[145796].bestScoreQuestions}}  Take Quiz Optional
Lesson 4 - Determining the Sample Size to Estimate Confidence Intervals: Definition & Process
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Lesson 5 - Student t Distribution: Definition & Example
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Lesson 6 - Using the t Distribution to Find Confidence Intervals
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Lesson 7 - Biased & Unbiased Estimators: Definition & Differences
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Lesson 8 - Finding Confidence Intervals for Proportions: Formula & Example
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Lesson 9 - Confidence Intervals: Mean Difference from Two Independent Samples
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Lesson 10 - Confidence Intervals: Mean Difference from Two Independent Samples & Equal Variance
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Week {{::cp.getGoalWeekForTopic(13, 15)}}
Ch 14. Tests of Significance {{cp.topicAssetIdToProgress[141145].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - What is Hypothesis Testing? - Definition, Steps & Examples
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Lesson 2 - Conducting Hypothesis Testing for a Mean: Process & Examples
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Lesson 3 - Effect Size in Hypothesis Testing: Definition & Interpretation
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Lesson 4 - Type I & Type II Errors in Hypothesis Testing: Differences & Examples
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Lesson 5 - The Relationship Between Confidence Intervals & Hypothesis Tests
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Lesson 6 - Hypothesis Testing Large Independent Samples
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Lesson 7 - Hypothesis Testing Matched Pairs
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Lesson 8 - Hypothesis Testing for a Proportion
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Lesson 9 - Hypothesis Testing for a Difference Between Two Proportions
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Lesson 10 - The Chi-Square Test
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Lesson 11 - What Are t-Tests? - Assessing Statistical Differences Between Groups
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Lesson 12 - One-Tailed Vs. Two-Tailed Tests: Differences & Examples
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