Welcoem to posts!!
in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
The Monty Hall Problem or the “three door puzzle” in statistics! Learn how to solve this famous problem step by step!
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In this @ video lecture we learn about the idea of a percentile/quantile, as well as a few specific percentiles/quantiles often reported (quartiles). It is important to mention that there are many different accepted ways to calculate a @/@. Here we will not focus on how to calculate these by hand, but rather focus on what they are conceptually and what info the tell us. 👩🏻💻To calculate Percentiles and Quantiles using @ software watch this video ( @tdhY )
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Plots exploring the relationship between variables are extremely valuable. In this #statistics video, we learn when to use side-by-side boxplots, stacked bar charts, clustered bar charts, mosaic plots, and scatter plots to explore the relationship between our variables. It helps us visualize and understand the nature of a relationship between variables in a way that simple numeric summaries cannot!
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we just uploaded a new video: Mean, Median and Mode in Statistics! These likely aren't new ideas to you, although this video may help you think of these measures of "center" in new ways, as well as get used to some of the statistical notation that gets used...Watch, Learn, Comment and let us know what you think!
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How to calculate probabilities, quantiles, percentiles and taking random samples for Normal Random Variables in R with examples...
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learn how to summarize a categorical variable by using frequency tables, a proportion, a percentage, bar charts, and pie charts!
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When collecting data, we record and analyze "variables" This video describes the different types of variables we can collect. It also makes note of the various names you may hear for these, as different disciplines tend to use different names for the same concept/idea.
This is important as the way we summarize, plot, and analyze data (topics coming up) depends largely on the type of variable(s) we have.
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One of the old videos but still very relevant: In this @ video we learn working through examples to calculate Pearson's correlation, Spearman's rank correlation, and Kendall's rank correlation, create confidence intervals and hypothesis tests and calculate Covariance in R using various functions and arguments. Make sure to download the R practice dataset (LungCapData) (@t ) to practice your new skills!
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5 Years Old but Still Relevant! In this @ video we learn to run the paired t-test in R for the means of two paired (dependent) populations (with example). Common applications of the paired sample t-test include case-control studies or repeated-measures designs.
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In this R statistics video we learn how to use R (and RStudio) to do a permutation hypothesis test following an example where we compare a numeric variable for two categorical/qualitative variable. In another video we explain the concept of permutation test in statistics (@t; There is also an awesome R Script available for those of you who like to learn by doing with some extra material for keen learners! (@t
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These R Programming and Statistics tutorials are originally created for Master's and PhD students at UBC by Professor Mike Marin and are now available to public.These videos provide a comprehensive and completely free set of tutorials for introductory and intermediate concepts in Statistics and Statistics with R.
Our team:
Professor Mike Marin is the content creator for these video tutorials and is currently teaching at The University of British Columbia in The School of Population and Public Health, Biostatistics and Epidemiology Division. During his career he has won many awards for excellence in teaching. You can learn more about him here: spph.ubc.ca/person/mike-marin/
Ladan Hamadani (B.Sc., BA., MPH), is the media manager and content editor of the videos. She makes sure that the amazing content is polished and presented in a way that is easy to follow. She also works as a research analyst in health sector.