# Statistical Analysis and Modeling in R: Working with Probability Distributions

R Programming 4.0+    |    Intermediate
• 12 videos | 1h 38m 24s
• Includes Assessment
Likes 8
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

• 1.  Course Overview
In this video, you’ll learn more about the course and your instructor. In this course, you’ll explore statistical tools you can use to explore and understand your data. You’ll learn population distributions to model…
• 2.  Statistical Tools for Understanding Data
In this video, you’ll learn more about statistics. Statistics is a mathematical body of science that pertains to the collection, analysis, interpretation, or explanation, and presentation of data. Statistics is about…
• 3.  Population and Sample Metric Comparisons
In this video, you’ll learn more about the terms population and sample. The term population refers to all the data that exists in the universe. It&#39;s impossible to work with data for the entire population. When you…
• 4.  Characteristics of Probability Distribution Types
In this video, you’ll learn more about probability distributions. Probability distribution is a mathematical function that shows the possible values for a variable and how often those values occur. The variable refers to…
• 5.  Sampling and Analyzing Uniform Distribution Data
In this video, you’ll learn more about RStudio to write R code. You’ll see RStudio is a freely available integrated development environment or IDE for R. RStudio includes a console, a syntax-highlighting editor that…
• 6.  Sampling and Analyzing Binomial Distribution Data
In this video, you’ll learn more about probability distributions. You’ll learn another discrete probability distribution, the binomial distribution. The binomial distribution summarizes the probability that the outcome…
• 7.  Computing Probabilities in Binomial Distributions
In this video, you’ll learn more about computing probabilities in binomial distributions. You’ll remember the rbinom function from the earlier video gives you data points generated from a binomial distribution with…
• 8.  Sampling and Analyzing Poisson Distribution Data
In this video, you’ll learn more about the Poisson distribution. The Poisson distribution is also a discrete probability distribution. You’ll learn the Poisson distribution is commonly used to model the number of expected…
• 9.  Examining Normal and Exponential Distributions
In this video, you’ll learn more about the normal distribution, a continuous probability distribution. The normal distribution is a continuous probability distribution that’s symmetric around the mean or the average of…
• 10.  Interpreting QQ Plots Using R
In this video, you’ll learn more about QQ plots. QQ Plots are used to assess whether the data you&#39;re working with plausibly came from some theoretical distribution. In statistical analysis, you might assume your data…
• 11.  Using QQ Plots in R to Compare Datasets
In this video, you’ll work with QQ norm and non-normally distributed data. You&#39;ll use QQ norm to get a visual check on whether your data points are normally distributed. First, you’ll use the rexp or rexp function to…
• 12.  Course Summary
In this video, you’ll summarize what you’ve learned in this course. You’ve explored the statistical tools that analysts use to understand and interpret their data. You covered descriptive statistics used to summarize data…

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