# DSST Principles of Statistics: Study Guide & Test Prep

• Course type: Self-paced
• Available Lessons: 122
• Average Lesson Length: 8 min
• Eligible for Certificate: Yes

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• DSST Principles of Statistics: Study Guide & Test Prep Practice Test

### Course Summary

Prepare yourself for the DSST Principles of Statistics exam with this comprehensive and mobile-friendly study guide course. This self-paced course offers lessons on all the statistics topics you need to know, as well as quizzes to help you evaluate your readiness to pass the exam and earn college credit.
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#### 12 chapters in DSST Principles of Statistics: Study Guide & Test 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, 12)}}
Ch 1. Data Types & Measurements in Statistics {{cp.topicAssetIdToProgress[38826].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Descriptive & Inferential Statistics: Definition, Differences & Examples
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Lesson 2 - Difference between Populations & Samples in Statistics
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Lesson 3 - Defining the Difference between Parameters & Statistics
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Lesson 4 - Estimating a Parameter from Sample Data: Process & Examples
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Lesson 5 - What is Quantitative Data? - Definition & Examples
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Lesson 6 - What is Categorical Data? - Definition & Examples
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Lesson 7 - Discrete & Continuous Data: Definition & Examples
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Lesson 8 - Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples
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Lesson 9 - The Purpose of Statistical Models
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Lesson 10 - Experiments vs Observational Studies: Definition, Differences & Examples
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Week {{::cp.getGoalWeekForTopic(1, 12)}}
Ch 2. Sampling Methods in Statistics {{cp.topicAssetIdToProgress[38827].percentComplete}}% complete
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Lesson 1 - Simple Random Samples: Definition & Examples
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Lesson 2 - What is Random Sampling? - Definition, Conditions & Measures
Score: {{cp.lessonAssetIdToProgress[18390].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[18390].bestScoreQuestions}}  Take Quiz Optional
Lesson 3 - Convenience Sampling in Statistics: Definition & Limitations
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Lesson 4 - Stratified Random Samples: Definition, Characteristics & Examples
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Lesson 5 - Cluster Random Samples: Definition, Selection & Examples
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Lesson 6 - Systematic Random Samples: Definition, Formula & Advantages
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Lesson 7 - Understanding the Law of Large Numbers
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Week {{::cp.getGoalWeekForTopic(2, 12)}}
Ch 3. Descriptive Statistics of Data Sets {{cp.topicAssetIdToProgress[38828].percentComplete}}% complete
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Lesson 1 - What is the Center in a Data Set? - Definition & Options
Score: {{cp.lessonAssetIdToProgress[16173].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[16173].bestScoreQuestions}}  Take Quiz Optional
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 - Unimodal & Bimodal Distributions: Definition & Examples
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Lesson 6 - The Mean vs the Median: Differences & Uses
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Lesson 7 - Spread in Data Sets: Definition & Example
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Lesson 8 - Maximums, Minimums & Outliers in a Data Set
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Lesson 9 - Quartiles & the Interquartile Range: Definition, Formulate & Examples
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Lesson 10 - Finding Percentiles in a Data Set: Formula & Examples
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Lesson 11 - Calculating the Standard Deviation
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Lesson 12 - The Effect of Linear Transformations on Measures of Center & Spread
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Lesson 13 - Population & Sample Variance: Definition, Formula & Examples
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Lesson 14 - Ordering & Ranking Data: Process & Example
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Week {{::cp.getGoalWeekForTopic(3, 12)}}
Ch 4. Visual Representations in Statistics {{cp.topicAssetIdToProgress[38829].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Visual Representations of a Data Set: Shape, Symmetry & Skewness
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Lesson 2 - Frequency & Relative Frequency Tables: Definition & Examples
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Lesson 3 - Cumulative Frequency Tables: Definition, Uses & Examples
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Lesson 4 - How to Calculate Percent Increase with Relative & Cumulative Frequency Tables
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Lesson 5 - Creating & Reading Stem & Leaf Displays
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Lesson 6 - Creating & Interpreting Histograms: Process & Examples
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Lesson 7 - Creating & Interpreting Frequency Polygons: Process & Examples
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Lesson 8 - Creating & Interpreting Dot Plots: Process & Examples
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Lesson 9 - Creating & Interpreting Box Plots: Process & Examples
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Lesson 10 - Understanding Bar Graphs and Pie Charts
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Lesson 11 - Making Arguments & Predictions from Univariate Data
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Lesson 12 - What is Bivariate Data? - Definition & Examples
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Lesson 13 - What is a Two-Way Table?
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Lesson 14 - Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples
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Week {{::cp.getGoalWeekForTopic(4, 12)}}
Ch 5. Probability: Rules for Events {{cp.topicAssetIdToProgress[38830].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
Score: {{cp.lessonAssetIdToProgress[2391].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[2391].bestScoreQuestions}}  Take Quiz Optional
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
Score: {{cp.lessonAssetIdToProgress[15106].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[15106].bestScoreQuestions}}  Take Quiz Optional
Lesson 9 - Applying Conditional Probability & Independence to Real Life Situations
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Lesson 10 - The Addition Rule of Probability: Definition & Examples
Score: {{cp.lessonAssetIdToProgress[15108].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[15108].bestScoreQuestions}}  Take Quiz Optional
Lesson 11 - The Multiplication Rule of Probability: Definition & Examples
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Week {{::cp.getGoalWeekForTopic(5, 12)}}
Ch 6. Probability Combinations, Permutations & Expected Values {{cp.topicAssetIdToProgress[38831].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Math Combinations: Formula and Example Problems
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Lesson 2 - How to Calculate a Permutation
Score: {{cp.lessonAssetIdToProgress[2397].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[2397].bestScoreQuestions}}  Take Quiz Optional
Lesson 3 - How to Calculate the Probability of Permutations
Score: {{cp.lessonAssetIdToProgress[2398].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[2398].bestScoreQuestions}}  Take Quiz Optional
Lesson 4 - Relative Frequency & Classical Approaches to Probability
Score: {{cp.lessonAssetIdToProgress[15110].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[15110].bestScoreQuestions}}  Take Quiz Optional
Lesson 5 - Finding & Interpreting the Expected Value of a Discrete Random Variable
Score: {{cp.lessonAssetIdToProgress[14798].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14798].bestScoreQuestions}}  Take Quiz Optional
Lesson 6 - Random Variables: Definition, Types & Examples
Score: {{cp.lessonAssetIdToProgress[14796].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14796].bestScoreQuestions}}  Take Quiz Optional
Lesson 7 - Developing Discrete Probability Distributions Theoretically & Finding Expected Values
Score: {{cp.lessonAssetIdToProgress[14799].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14799].bestScoreQuestions}}  Take Quiz Optional
Lesson 8 - Developing Discrete Probability Distributions Empirically & Finding Expected Values
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Lesson 9 - Dice: Finding Expected Values of Games of Chance
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Lesson 10 - Blackjack: Finding Expected Values of Games of Chance with Cards
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Lesson 11 - Lotteries: Finding Expected Values of Games of Chance
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Lesson 12 - Comparing Game Strategies Using Expected Values: Process & Examples
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Week {{::cp.getGoalWeekForTopic(6, 12)}}
Ch 7. Probability: Discrete & Continuous Distributions {{cp.topicAssetIdToProgress[38832].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - How to Apply Discrete Probability Concepts to Problem Solving
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Lesson 2 - Binomial Experiments: Definition, Characteristics & Examples
Score: {{cp.lessonAssetIdToProgress[14805].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14805].bestScoreQuestions}}  Take Quiz Optional
Lesson 3 - Finding Binomial Probabilities Using Formulas: Process & Examples
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Lesson 4 - Practice Problems for Finding Binomial Probabilities Using Formulas
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Lesson 5 - Finding Binomial Probabilities Using Tables
Score: {{cp.lessonAssetIdToProgress[14808].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14808].bestScoreQuestions}}  Take Quiz Optional
Lesson 6 - Mean & Standard Deviation of a Binomial Random Variable: Formula & Example
Score: {{cp.lessonAssetIdToProgress[14809].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14809].bestScoreQuestions}}  Take Quiz Optional
Lesson 7 - Solving Problems with Binomial Experiments: Steps & Example
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Lesson 8 - Graphing Probability Distributions Associated with Random Variables
Score: {{cp.lessonAssetIdToProgress[14797].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14797].bestScoreQuestions}}  Take Quiz Optional
Lesson 9 - Finding & Interpreting the Expected Value of a Continuous Random Variable
Score: {{cp.lessonAssetIdToProgress[17302].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[17302].bestScoreQuestions}}  Take Quiz Optional
Lesson 10 - Developing Continuous Probability Distributions Theoretically & Finding Expected Values
Score: {{cp.lessonAssetIdToProgress[17303].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[17303].bestScoreQuestions}}  Take Quiz Optional
Lesson 11 - Probabilities as Areas of Geometric Regions: Definition & Examples
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Week {{::cp.getGoalWeekForTopic(7, 12)}}
Ch 8. Correlation & Regression in Statistics {{cp.topicAssetIdToProgress[38833].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Creating & Interpreting Scatterplots: Process & Examples
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Lesson 2 - Simple Linear Regression: Definition, Formula & Examples
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Lesson 3 - Problem Solving Using Linear Regression: Steps & Examples
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Lesson 4 - Analyzing Residuals: Process & Examples
Score: {{cp.lessonAssetIdToProgress[16790].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[16790].bestScoreQuestions}}  Take Quiz Optional
Lesson 5 - Interpreting the Slope & Intercept of a Linear Model
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Lesson 6 - The Correlation Coefficient: Definition, Formula & Example
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Lesson 7 - How to Interpret Correlations in Research Results
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Lesson 8 - Correlation vs. Causation: Differences & Definition
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Lesson 9 - Interpreting Linear Relationships Using Data: Practice Problems
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Lesson 10 - Transforming Nonlinear Data: Steps & Examples
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Lesson 11 - Coefficient of Determination: Definition, Formula & Example
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Week {{::cp.getGoalWeekForTopic(8, 12)}}
Ch 9. Sampling Distributions in Statistics {{cp.topicAssetIdToProgress[38834].percentComplete}}% complete
Course Progress Best Score
Lesson 1 - Normal Distribution: Definition, Properties, Characteristics & Example
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Lesson 2 - Finding Z-Scores: Definition & Examples
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Lesson 3 - Estimating Areas Under the Normal Curve Using Z-Scores
Score: {{cp.lessonAssetIdToProgress[14813].bestScoreCorrect}}/{{cp.lessonAssetIdToProgress[14813].bestScoreQuestions}}  Take Quiz Optional
Lesson 4 - Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples
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Lesson 5 - Using the Normal Distribution: Practice Problems
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Lesson 6 - How to Apply Continuous Probability Concepts to Problem Solving
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Lesson 7 - Sampling Distributions & the Central Limit Theorem: Definition, Formula & Examples
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Lesson 8 - Find the Mean & Standard Error of the Sampling Distribution
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Lesson 9 - Finding Probabilities About Means Using the Central Limit Theorem
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Practice Tests in this course
Check your knowledge of this course with a 50-question practice test. Once you take the test, you will receive a detailed exam report complete with your personal statistics and even specific lessons to focus on! Take the practice test now
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