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Getting started with Anaconda Notebooks
Course Overview and Learning Objectives
Samples, Populations, and Parameters
Mean, Median, and Mode
Variance and Standard Deviation
Exercise: Describe the Provided Data
Probability Density Function and Cumulative Density Function
Inverse Cumulative Density Function
Standard Normal Distribution and Z-Scores
Exercise: Calculate the Life of a Laptop Battery
The Central Limit Theorem
Critical Z Values
Confidence Intervals
T-Distribution and Smaller Samples
Exercise: Confidence Interval Calculation
Tea Party Experiment and P-Values
Two-tailed Testing
One-tailed Testing
Dealing with Smaller Samples
Exercise: Help an Online Gaming Platform
Texas Sharpshooter Fallacy
Data Mining and Simpson’s Paradox
P-Hacking
Data Bias
Exercise: Data Mining Gone Wild
Summary and Further Reading Resources
End of course survey
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