- If you're watching this course on a computer, you have access to the exercise files. You can download them to the desktop for easy access as you're watching the course. There's a folder for many of the chapters in the course. What will you find in these exercise files? In some of them, you'll find helpful graphs, tables, or illustrations used in the videos. In others, you might find sample problems so you can test your statistical skills. Along with those problems, you'll get both the answers and the step-by-step solutions.
If you don't have access to those files, don't worry. The problems and scenarios discussed in the videos are often described in detail and illustrated via on-screen formulas, calculations, and graphics.
Author
Released
9/18/2016Professor Eddie Davila covers statistics basics, like calculating averages, medians, modes, and standard deviations. He shows how to use probability and distribution curves to inform decisions, and how to detect false positives and misleading data. Each concept is covered in simple language, with detailed examples that show how statistics are used in real-world scenarios from the worlds of business, sports, education, entertainment, and more. These techniques will help you understand your data, prove theories, and save time, money, and other valuable resources—all by understanding the numbers.
- Calculate mean and median for specific data sets.
- Explain how the mode is used to assess a data set.
- Identify situations in which standard deviation can be used to investigate individual data points.
- Use mean and standard deviation to find the Z-score for a data point.
- List the three different categories of probability.
- Analyze data to determine if two events are dependent or independent.
- Predict possible outcomes for a situation using basic permutation calculations.
- Give examples of binomial random variables.
Skill Level Beginner
Duration
Views
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Learning Everyday Math
with Vince Kotchian2h 6m Intermediate
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Introduction
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Welcome2m 20s
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1. The World of Statistics
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Is my data set good?3m 42s
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2. The Center of the Data
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Weighted mean4m 25s
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3. Data Variability
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4. Distribution and Relative Position
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5. Probability Explained
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Defining probabilty3m 46s
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Examples of probability3m 46s
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Types of probability4m 53s
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6. Multiple Event Probability
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Even more of Bayes theorem3m 53s
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7. How Objects Are Arranged
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8. Discrete vs. Continuous Probability Distributions
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9. Discrete Probability Distributions
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Expected monetary value4m 10s
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10. Continuous Probability Distributions
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Fuzzy central limit theorem2m 11s
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Conclusion
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Video: Using the exercise files