- So, you decided to dive in to a statistics course. Are you ready for it? I think you are. While this course will explore statistical concepts, numbers, charts, and probabilities, we won't be doing any significant mathematical gymnastics. If you know your math basics, adding and subtracting, multiplying and dividing, square roots, if you're comfortable with basic fractions, if you can understand that when we're discussing probabilities, 0.05 is the same thing as 5%, 0.40 is the same thing as 40%, and that 100% is the same as 1.00, you'll be fine.
And even if some of those things make you a little bit uncomfortable, don't worry. Often we use pictures, charts, and tables to help illustrate the concept. Sometimes we attack problems in more than one way. And of course, through the power of the internet, you could always pause and rewind. So, whether your math muscles are strong, or you're just beginning to rediscover math concepts, I think the probability of success in discovery is quite high. Thanks for exploring Statistics Fundamentals and good luck.
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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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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