Explore descriptive statistics concepts and their implementation in R through this comprehensive 90-minute lecture series. Learn to summarize and display data effectively using various techniques, including bar charts, pie charts, histograms, density plots, and boxplots. Master the calculation and interpretation of key statistical measures such as mean, median, mode, and standard deviation. Gain hands-on experience with R software to create plots and perform calculations, enhancing your understanding of data analysis. Dive into topics like frequency tables, distribution shapes, sample vs. population statistics, and the binomial distribution. Benefit from real-life lecture format videos that simulate classroom learning, complete with accompanying R tutorials for practical application.
Overview
Syllabus
Bar Chart, Pie Chart, Frequency Tables | Statistics Tutorial | MarinStatsLectures.
Bar Charts and Pie Charts in R | R Tutorial 2.1 | MarinStatsLectures.
Histograms and Density Plots for Numeric Variables | Statistics Tutorial | MarinStatsLectures.
Histograms in R | R Tutorial 2.4 | MarinStatsLectures.
Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures.
Boxplots and Grouped Boxplots in R | R Tutorial 2.2 | MarinStatsLectures.
Box Plots with Two Factors (Stratified Boxplots) in R | R Tutorial 2.3 | MarinStatsLectures.
Describing Distributions: Center, Spread & Shape | Statistics Tutorial | MarinStatsLectures.
Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures.
Standard Deviation & Degrees of Freedom Explained | Statistics Tutorial | MarinStatsLectures.
Calculating Mean, Standard Deviation, Frequencies and More in R | R Tutorial 2.8| MarinStatsLectures.
Sample and Population in Statistics | Statistics Tutorial | MarinStatsLectures.
Binomial Distribution in R | R Tutorial 3.1| MarinStatsLectures.
Taught by
MarinStatsLectures-R Programming & Statistics
