Basic concepts of statistical inference using R
>eR-BioStat
Basic concepts of statistical inference using R: online tutorials
Online tutorials
The online tutorials consists of YouTube and online notes and books. The online tutorials cover the same topic discussed in the course but use different examples for illustration. Topics cover in the tutorials include:
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One sample t test.
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Two sample t test for independent samples.
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Paired t- test.
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Confidence intervals for the population mean.
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Test for proportions.
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Confidence intervals for proportions.
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Chi-squared tests.
YouTube tutorials
This part of the course consists of 15 YouTube tutorials about basic concepts of inference using R. The R code used for the examples presented in the tutorials and the datasets are a part of the tutorial videos.
YouTube tutorial 1: two sample t-test in R Studio (host: Charlene McCord)
YouTube tutorial 6: One-Sample t Test & Confidence Interval in R with Examples (host: Mark Martin)
YouTube tutorial 11: The Two-Sample Test of Proportions in R (host: Patrick Rafail)
YouTube tutorial 2: Two sample t-Test in R (host: AGRON Info-Tech)
YouTube tutorial 3: Paired t-Test in R with Examples (host: Mark Martin)
YouTube tutorial 4: Paired t-Test in R (host: how2stats)
YouTube tutorial 5: Confidence Intervals in R (host: Equitable Equations)
YouTube tutorial 7: One sample t-Test in R (host: AGRON Info-Tech)
YouTube tutorial 8: Hypothesis tests on proportions in R (host: Ed Boone)
YouTube tutorial 9: The One-Sample Test of Proportions in R (host: Patrick Rafail)
YouTube tutorial 12: Performing a Chi Square contingency table test using R (host: KnowHow)
YouTube tutorial 13: Performing a Chi-square test using Rstudio (host: Plant Breeder_WUR)
YouTube tutorial 14: Confidence Interval of a Mean in R (host: Jonathan Thayn)
YouTube tutorial 10: Confidence intervals on proportions in R (host: Ed Boone)
YouTube tutorial 15: Plot Mean and confidence intervals in GGPLOT in R (host: TechAnswers88)
Online tutorials
This part of the course consists of 4 online tutorials about basic concepts of inference using R. The R code used for the examples presented in the tutorials and the datasets are a part of the tutorial files.