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URL:https://www.learndesk.us/class/5658760183808000/applied-statistics-using-r-programming?ref=outlook-calendar
SUMMARY:Applied Statistics using R Programming
DTSTART;TZID=America/Los_Angeles:20260527T190000
DTEND;TZID=America/Los_Angeles:20260527T200000
LOCATION:https://www.learndesk.us/class/5658760183808000/applied-statistics-using-r-programming?ref=outlook-calendar
DESCRIPTION: 
This is a bite-size course to learn R programming for applied statistics. In the CRISP-DM data mining process, applied statistics is at the data understanding stage. This course also covers data processing, which is at the data preparation stage.
Content

Getting Started
Getting Started 2
Getting Started 3
Data Mining Process
Download Data Set
Read Data Set
Mode
Median
Mean
Range
Range 2
Range 3
IQR
Quantile
Population Variance
Sample Variance
Variance
Standard Deviation
Normal Distribution
Skewness and Kurtosis
Summary() and Str()
Correlation
Covariance
Inferential Statistics Tests
One-Sample T-Test
Two Sample Unpaired T-Test
Two Sample Unpaired T-Test (Variance not Equal)
Two Sample Paired T-Test
Chi-Square Test
One Way ANOVA
Two Way ANOVA
MANOVA
Simple Linear Regression
Multiple Linear Regression
Data Processing: Select Variables
Data Processing: Sort Data
Data Processing: Filter Data
Data Processing: Remove Missing Values and Remove Duplicates



https://www.learndesk.us/class/5658760183808000/applied-statistics-using-r-programming?ref=outlook-calendar
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