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03 Concepts of populations, samples, variables and type of sampling/003 Concept of sampling probability and non-probability samples.mp4 28.74 MB
03 Concepts of populations, samples, variables and type of sampling/001 Definitions of statistics and type of statistical studies.mp4 15.93 MB
03 Concepts of populations, samples, variables and type of sampling/002 Concepts of populations, samples, variables and type of sampling.mp4 14.38 MB
03 Concepts of populations, samples, variables and type of sampling/004 Type of data or variables, measurement levels and type of studies.mp4 28.01 MB
08 Relationships between two variablesCorrelations and simple linear regression/004 Linear regression equation with practical examples.mp4 30.59 MB
08 Relationships between two variablesCorrelations and simple linear regression/002 Computing the sample correlation coefficient.mp4 25.47 MB
08 Relationships between two variablesCorrelations and simple linear regression/001 Scatterplots and correlations coefficients.mp4 26.62 MB
08 Relationships between two variablesCorrelations and simple linear regression/003 Concepts and terminologies of linear regression.mp4 14.19 MB
05 Statistical methods for describing the center, variation or spread of the data/004 Sample variance, standard deviation and coefficient of variation of the data.mp4 25.63 MB
05 Statistical methods for describing the center, variation or spread of the data/005 Interpreting the standard deviation Empirical and Chebyshevs rules.mp4 39.02 MB
05 Statistical methods for describing the center, variation or spread of the data/001 Computing the mean and the weighted mean of the data.mp4 23.57 MB
05 Statistical methods for describing the center, variation or spread of the data/003 Classifying statistical distributions.mp4 5.19 MB
05 Statistical methods for describing the center, variation or spread of the data/002 Computing the geometric and harmonic means, median, and midrange of the data.mp4 25.63 MB
02 Data files for the test and comprehensive test to check for mastery/001 Download the lecture datafiles first.pdf 163.9 KB
09 Conclusion and upcoming courses/001 Concluding remarks.mp4 15.85 MB
07 Numerical measures of relative standing/002 Percentiles rank, quartiles, boxplots and identifying outliers in the data.mp4 38.48 MB
07 Numerical measures of relative standing/001 Computing and interpreting the Z-scores.mp4 15.55 MB
01 About the course What are going to learn/001 What you need to know about the class.mp4 22.19 MB
06 Descriptive statistics measures for grouped datasets/001 Computing the mean, median, variance and standard deviation of grouped data.mp4 34.51 MB
04 Describing qualitative and quantitative data in statistics/004 Frequency polygons, ogive and Pareto Vilfredo charts.mp4 22.63 MB
04 Describing qualitative and quantitative data in statistics/001 Frequency distributions, bar graphs, pie charts and stem-and-leafs plots.mp4 33.27 MB
04 Describing qualitative and quantitative data in statistics/003 Techniques for constructing a histogram.mp4 30.6 MB
04 Describing qualitative and quantitative data in statistics/005 Identifying and avoiding bad graphs in statistics.mp4 8.36 MB
04 Describing qualitative and quantitative data in statistics/002 Defining lower and upper class limits as well as class midpoints.mp4 5.94 MB
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