Statistical Analysis and Modeling in R: Working with Probability Distributions

R Programming 4.0+
  • 12 Videos | 1h 43m 24s
  • Includes Assessment
  • Earns a Badge
Interpreting data is a core pre-processing step in data analysis and modeling. Use this course to practice using various dynamic statistical tools to explore and understand your data. During this course, you'll explore population distributions to model random variables, work with discrete and continuous probability distributions, and use discrete probability distribution types, such as the uniform, binomial, and Poisson distributions. You'll also examine continuous distributions, such as the normal and the exponential distributions. You'll round the course off by learning how to read and interpret QQ plots, which can be used to compare the distributions of two samples of data. When you're finished, you'll be able to use probability distributions to model events and understand your data.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    recall the sets of statistical tools used to understand data
    compare and contrast population metrics with sample metrics
    recall the characteristics of discrete and continuous probability distributions
    sample and analyze data that follows uniform distribution
    sample and analyze data which follows binomial distribution
  • calculate probabilities of events in the binomial distribution
    sample and analyze data which follows uniform distribution
    examine and interpret normal distributions and exponential distributions
    interpret QQ plots for normally and non-normally distributed data
    use QQ plots to compare samples from different distributions
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 10s
    UP NEXT
  • Playable
    2. 
    Statistical Tools for Understanding Data
    8m 51s
  • Locked
    3. 
    Population and Sample Metric Comparisons
    7m 37s
  • Locked
    4. 
    Characteristics of Probability Distribution Types
    11m 52s
  • Locked
    5. 
    Sampling and Analyzing Uniform Distribution Data
    11m 20s
  • Locked
    6. 
    Sampling and Analyzing Binomial Distribution Data
    8m 48s
  • Locked
    7. 
    Computing Probabilities in Binomial Distributions
    10m 20s
  • Locked
    8. 
    Sampling and Analyzing Poisson Distribution Data
    9m 15s
  • Locked
    9. 
    Examining Normal and Exponential Distributions
    9m 26s
  • Locked
    10. 
    Interpreting QQ Plots Using R
    8m 7s
  • Locked
    11. 
    Using QQ Plots in R to Compare Datasets
    8m 34s
  • Locked
    12. 
    Course Summary
    2m 4s

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