Udemy - Introductory statistics Part1 Descriptive Statistics

1. 03 Concepts of populations, samples, variables and type of sampling/003 Concept of sampling probability and non-probability samples.mp428.74MB
2. 03 Concepts of populations, samples, variables and type of sampling/001 Definitions of statistics and type of statistical studies.mp415.93MB
3. 03 Concepts of populations, samples, variables and type of sampling/002 Concepts of populations, samples, variables and type of sampling.mp414.38MB
4. 03 Concepts of populations, samples, variables and type of sampling/004 Type of data or variables, measurement levels and type of studies.mp428.01MB
5. 08 Relationships between two variablesCorrelations and simple linear regression/004 Linear regression equation with practical examples.mp430.59MB
6. 08 Relationships between two variablesCorrelations and simple linear regression/002 Computing the sample correlation coefficient.mp425.47MB
7. 08 Relationships between two variablesCorrelations and simple linear regression/001 Scatterplots and correlations coefficients.mp426.62MB
8. 08 Relationships between two variablesCorrelations and simple linear regression/003 Concepts and terminologies of linear regression.mp414.19MB
9. 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.mp425.63MB
10. 05 Statistical methods for describing the center, variation or spread of the data/005 Interpreting the standard deviation Empirical and Chebyshevs rules.mp439.02MB
11. 05 Statistical methods for describing the center, variation or spread of the data/001 Computing the mean and the weighted mean of the data.mp423.57MB
12. 05 Statistical methods for describing the center, variation or spread of the data/003 Classifying statistical distributions.mp45.19MB
13. 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.mp425.63MB
14. 09 Conclusion and upcoming courses/001 Concluding remarks.mp415.85MB
15. 07 Numerical measures of relative standing/002 Percentiles rank, quartiles, boxplots and identifying outliers in the data.mp438.48MB
16. 07 Numerical measures of relative standing/001 Computing and interpreting the Z-scores.mp415.55MB
17. 01 About the course What are going to learn/001 What you need to know about the class.mp422.19MB
18. 06 Descriptive statistics measures for grouped datasets/001 Computing the mean, median, variance and standard deviation of grouped data.mp434.51MB
19. 04 Describing qualitative and quantitative data in statistics/004 Frequency polygons, ogive and Pareto Vilfredo charts.mp422.63MB
20. 04 Describing qualitative and quantitative data in statistics/001 Frequency distributions, bar graphs, pie charts and stem-and-leafs plots.mp433.27MB
21. 04 Describing qualitative and quantitative data in statistics/003 Techniques for constructing a histogram.mp430.6MB
22. 04 Describing qualitative and quantitative data in statistics/005 Identifying and avoiding bad graphs in statistics.mp48.36MB
23. 04 Describing qualitative and quantitative data in statistics/002 Defining lower and upper class limits as well as class midpoints.mp45.94MB