 # DATA 606 - Statistics & Probability - Spring 2021 # DATA 606 Statistics & ProbabilitySpring 2021

## Announcements

Be sure to check this page regularly for updates.

### Final Meetup

Click here to open the slides.

### Bayesian Analysis

Click here to open the slides.

### Intro to Shiny

Click here to open the slides.

### Multiple Linear Regression

Click here to open the slides.

### Linear Regression Part 2

Click here to open the slides.

### Linear Regression

Click here to open the slides.

### Inference for Numerical Data

Click here to open the slides.

### Inference for Categorical Data

Click here to open the slides.

### Foundation for Inference

Click here to open the slides.

### Quantile-Quantile Plots

Quantile-quantile plots are a useful tool for determining whether a measure is normally distributed. From Wikipedia: Q–Q (quantile-quantile) plot is a probability plot, which is a graphical method for comparing two probability distributions by plotting their quantiles against each other. First, the set of intervals for the quantiles is chosen. A point (x, y) on the plot corresponds to one of the quantiles of the second distribution (y-coordinate) plotted against the same quantile of the first distribution (x-coordinate).

### Distributions

Click here to open the slides.

### Random Numbers and Seeds in R

To explore how R generates random numbers, we will use the rnorm function. This function draws a random number from a normal distribution with a mean = 0 and standard deviation = 1 (though these can be changed with the mean and sd parameters). With n = 1 we will get one random number. rnorm(n = 1) ##  1.992159 rnorm(n = 1) ##  -0.2411932 Each time you run the command you will get a different number.

### Probability

Click here to open the slides.

### Summarizing Data

Click here to open the slides.

### Intro to Data Meetup

Here is a recording of the Intro to Data Meetup. Click here to open the slides.

### Getting Started with R

To get started with the labs, you will need to install R and other supporting applications. Links to download all the software is on the Software page which is also available on the Course Overview menu. Once you are in RStudio, you will need to install a number of R packages using the following two commands:

### Introductions

Here is a recording of the course introduction Meetup. Click here to open the slides.

### Welcome to DATA606!

Welcome to DATA606! My name is Dr. Jason Bryer and I will be your instructor for this semester. I am an Assistant Professor in the Data Science and Information Systems department at CUNY SPS. Couple of important notes as you get started: The course syllabus located here: https://spring2021.data606.net/course-overview I will post all course materials there. Blackboard will be used primarily for submitting assignments. Please read the syllabus carefully!

Last updated on Wed May 12, 2021
Edit on GitHub