Intro to Statistics: Plots, Screening Tests, Normal Distribution | Tutorial 1| MarinStatsLectures

Plots, Screening Tests, Normal Distribution Explained!
Watch the Whole Series: bit.ly/2Ff3gE0

The statistics video tutorial reviews types of variables, scales of measurement, appropriate plots, false positive, false negative, sensitivity, specificity, positive predictive value, negative predictive value, samples vs populations, standardizing, and the normal distribution.

This is the first tutorial for SPPH 400: Statistics for Health Research, at The University of British Columbia, School of Population and Public Health.

Content Creators: Mary Clare Kennedy (M.A.), Research Associate at UBC & Lianping (Mint) Ti (Ph.D.), Assistant Professor at UBC



►► Watch More:

► Intro to Statistics Course: bit.ly/2SQOxDH
►R Tutorials for Data Science bit.ly/1A1Pixc
►Getting Started with R (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R (Series 2): bit.ly/2PkTneg
►Probability distributions in R (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R (Series 4): bit.ly/2SXvcRi
►Linear Regression in R (Series 5): bit.ly/1iytAtm
►ANOVA Concept and with R bit.ly/2zBwjgL
►Linear Regression Concept and with R bit.ly/2z8fXg1
►Puppet Master of Statistics: bit.ly/2RDAAv4
►SPPH 400 Tutorials: bit.ly/2Ff3gE0


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This statistics tutorial is prepared to support SPPH 400: Statistics for Health Research course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at UBC (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!