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Course Description
This interactive DataCamp course complements the STAT 217 Introduction to Statistical Concepts and Methods course instructed by Shannon Pileggi at California Polytechnic State University, San Luis Obispo. This course offers a preview of R programming concepts to be utlized in lab.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Lab 1
FreeIntroduction to R and RStudio
How to use DataCamp100 xpGetting started with R50 xpAuthor of course50 xpUsing R as a calculator100 xpUsing the sqrt() function100 xpBasic data types in R50 xpObject assignment100 xpQuick check 150 xpViewing data100 xpUsing the summary() function100 xpGraphing data in R100 xpQuick check 250 xpLAST EXERCISE OF LAB 150 xp - 2
Lab 2
FreeUsing R to Explore Data Sets
- 3
Lab 3
FreeSummarizing and Visualizing Data
Using the str() function to reveal variable types100 xpQuick check 150 xpChanging variable types100 xpSummarizing quantitative variables100 xpQuick check 250 xpSummarizing quantitative variables by group100 xpInterpret the results50 xpQuick check 350 xpSummarizing categorical variables100 xpContingency tables100 xpQuick check 450 xpVisualizing quantitative data in R100 xpVisualizing quantitative variables by groups100 xpVisualizing categorical data in R100 xpVisualizing relationships between quantitative variables100 xpLAST EXERCISE OF LAB 350 xp - 4
Lab 4a
FreeDistribution of Sample Proportions and Confidence Intervals for Population Proportions
- 6
Lab 5
FreeOne-sample t-test
- 7
Lab 6
FreeInference for Quantitative Data
Two sample t-test100 xpTwo sample t-test with t.test()100 xpQuick check 150 xpPaired t-test100 xpPaired tests using t.test()100 xpQuick check 250 xpANOVA100 xpQuick check 350 xpUsing aov() function to test multiple means100 xpQuick check 450 xpTukey's Pairwise Comparisons100 xpSummarizing Tukey plots50 xpLAST EXERCISE OF LAB 650 xp - 8
Lab 7
FreeInference for Categorical Data
Exploring a single categorical variable100 xpOne sample z-test with prop.test()100 xpTwo-way contingency table100 xpQuick check 150 xpTwo sample z-test with prop.test()100 xpTest conclusion50 xpQuick check 250 xpQuick Check 350 xpExploring two categorical variables100 xpSample proportions50 xpChi-squared test100 xpChi-squared test conclusion50 xpAssumptions of the chi-squared test100 xpLAST EXERCISE OF LAB 750 xp - 9
Lab 8
FreeCorrelation and Simple Linear Regression
Gun violence data100 xpScatter plot review100 xpMeasuring correlation with the cor() function100 xpQuick check 150 xpSimple linear regression100 xpQuick check 250 xpTesting if the population slope is non-zero100 xpQuick check 350 xpConfidence intervals for regression coefficients100 xpAdd lines to a plot with abline()100 xpLAST EXERCISE OF LAB 850 xp
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