# Statistics for Teachers: Professional Development

### Course Summary

Our flexible Statistics for Teachers professional development course can help you earn credits to apply to your teacher's license renewal. Watch our short video and text lessons to complete this course in just a few weeks and refresh your knowledge of important statistics, data analysis and probability topics.
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#### 8 chapters in Statistics for Teachers: Professional Development

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, 8)}}
Ch 1. Overview of Statistics {{cp.topicAssetIdToProgress.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
Lesson 3 - Defining the Difference between Parameters & Statistics
Lesson 4 - Estimating a Parameter from Sample Data: Process & Examples
Lesson 5 - What is Quantitative Data? - Definition & Examples
Lesson 6 - What is Categorical Data? - Definition & Examples
Lesson 7 - Discrete & Continuous Data: Definition & Examples
Lesson 8 - Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples
Lesson 9 - The Purpose of Statistical Models
Lesson 10 - Experiments vs Observational Studies: Definition, Differences & Examples
Lesson 11 - Random Selection & Random Allocation: Differences, Benefits & Examples
Lesson 12 - Convenience Sampling in Statistics: Definition & Limitations
Lesson 13 - How Randomized Experiments Are Designed
Lesson 14 - Analyzing & Interpreting the Results of Randomized Experiments
Lesson 15 - Confounding & Bias in Statistics: Definition & Examples
Lesson 16 - Confounding Variables in Statistics: Definition & Examples
Lesson 17 - Bias in Statistics: Definition & Examples
Lesson 18 - Bias in Polls & Surveys: Definition, Common Sources & Examples
Lesson 19 - Misleading Uses of Statistics
Week {{::cp.getGoalWeekForTopic(4, 8)}}
Course Progress Best Score
Lesson 1 - Random Variables: Definition, Types & Examples
Lesson 2 - Finding & Interpreting the Expected Value of a Discrete Random Variable
Lesson 3 - Developing Discrete Probability Distributions Theoretically & Finding Expected Values
Lesson 4 - Developing Discrete Probability Distributions Empirically & Finding Expected Values
Lesson 5 - Dice: Finding Expected Values of Games of Chance
Lesson 6 - Blackjack: Finding Expected Values of Games of Chance with Cards
Lesson 7 - Poker: Finding Expected Values of High Hands
Lesson 8 - Poker: Finding Expected Values of Low Hands
Lesson 9 - Lotteries: Finding Expected Values of Games of Chance
Lesson 10 - Comparing Game Strategies Using Expected Values: Process & Examples
Lesson 11 - How to Apply Discrete Probability Concepts to Problem Solving
Lesson 12 - Binomial Experiments: Definition, Characteristics & Examples
Lesson 13 - Finding Binomial Probabilities Using Formulas: Process & Examples
Lesson 14 - Practice Problems for Finding Binomial Probabilities Using Formulas
Lesson 15 - Finding Binomial Probabilities Using Tables
Lesson 16 - Mean & Standard Deviation of a Binomial Random Variable: Formula & Example
Lesson 17 - Solving Problems with Binomial Experiments: Steps & Example

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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
Your detailed study guide will include:
• Answers and detailed explanations to each question
• Video lessons to explain complicated concepts
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