Genre:eLearning |Language:English
Files Included :
001 What you need to know about the class.mp4 (22.19 MB)
001 Definitions of statistics and type of statistical studies.mp4 (15.93 MB)
002 Concepts of populations, samples, variables and type of sampling.mp4 (14.38 MB)
003 Concept of sampling probability and non-probability samples.mp4 (28.74 MB)
004 Type of data or variables, measurement levels and type of studies.mp4 (28.01 MB)
001 Frequency distributions, bar graphs, pie charts and stem-and-leafs plots.mp4 (33.27 MB)
002 Defining lower and upper class limits as well as class midpoints.mp4 (5.94 MB)
003 Techniques for constructing a histogram.mp4 (30.6 MB)
004 Frequency polygons, ogive and Pareto Vilfredo charts.mp4 (22.63 MB)
005 Identifying and avoiding bad graphs in statistics.mp4 (8.36 MB)
001 Computing the mean and the weighted mean of the data.mp4 (23.57 MB)
002 Computing the geometric and harmonic means, median, and midrange of the data.mp4 (25.63 MB)
003 Classifying statistical distributions.mp4 (5.19 MB)
004 Sample variance, standard deviation and coefficient of variation of the data.mp4 (25.63 MB)
005 Interpreting the standard deviation Empirical and Chebyshevs rules.mp4 (39.02 MB)
001 Computing the mean, median, variance and standard deviation of grouped data.mp4 (34.51 MB)
001 Computing and interpreting the Z-scores.mp4 (15.55 MB)
002 Percentiles rank, quartiles, boxplots and identifying outliers in the data.mp4 (38.48 MB)
001 Scatterplots and correlations coefficients.mp4 (26.62 MB)
002 Computing the sample correlation coefficient.mp4 (25.47 MB)
003 Concepts and terminologies of linear regression.mp4 (14.19 MB)
004 Linear regression equation with practical examples.mp4 (30.59 MB)
001 Concluding remarks.mp4 (15.85 MB)]