Statistics in Five Minutes

Statistics in Five Minutes

Learning statistics is required for most students in business, engineering, and social sciences. In business schools, especially the ones accredited by AACSB, more than four million students are pursuing a diploma or degree in business administration. They all must take at least one course in introductory statistics.

The advances in computing technology, such as the software’s user-friendliness, the ready availability of interesting data sets, and free online resources, including tutorials, should have made learning statistics easier. This, however, is not the case.

Learning statistics, despite the advances in technology, continues to be the Achilles heel for most undergraduate and numerous graduate students. We have put together resources for students to be able to master the fundamental aspect of statistical analysis in small doses of five-minute lessons and have made them available at:

https://sites.google.com/view/intro-statistics/

The five-by-five-by-five structure

While working collaboratively with IBM Canada, I have produced a series of 50 five-minute videos that cover the fundamentals of introductory statistical analysis. The 50 videos are divided into two courses: Statistics 101 and Statistics 201. Here is the structure for each course.

  • Five modules per course
  • Five videos per module
  • Five minutes per video

Hence in small doses of five-minute videos, you can learn the fundamentals of statistical analysis. We created these resources to help students overcome their fear of or reluctance to master statistical analysis. Here is a short video describing our motivation to develop these resources.

The videos are organized logically to facilitate learning, where each video contributes to learning materials covered in the proceeding videos.

Why SPSS?

We have illustrated statistical concepts using perhaps one of the easiest-to-learn statistical software, IBM SPSS Statistics . I have been using SPSS since 1994. Thousands of universities and colleges across North America, Europe and Australasia have adopted SPSS for courses in statistics. Thus, the odds of an introductory course in Statistics being taught using SPSS are high.

We have adopted SPSS to illustrate statistical concepts described in the lessons. The videos, though, explain fundamentals so the students can use any other software of their choice. If you cannot access SPSS, you can use a freeware, BlueSky Statistics , instead.?

Materials

Most of the material covered in the 50 videos is based on three chapters from Murtaza Haider’s book, Getting Started with Data Science: Making Sense of Data with Analytics . We have provided draft versions of Chapters 4 and 5 and the printed version of Chapter 6 under Materials to assist students with learning. Also available under Learning are data sets, SPSS scripts and output for students to practice.

Acknowledgements

These videos result from a collaboration with IBM and their initiative to support data science, including https://cognitiveclass.ai/ and Big Data University, its earlier incarnation. We acknowledge their support and motivation that helped us produce these 50 videos.

So, fear statistics no more. Take the first step and Click on Statistics 101 .

?Topics Covered in Statistics 101

A World Filled with Data

Welcome to Statistics

Data Visualization

All about data

SPSS for Statistics

SPSS in 5 minutes

Introducing Data

Types of Data

Mean Median Mode

Measures of dispersion

Statistics by datatypes

Probability

Statistics in Action

Statistics by groups

Visualization of group statistics

Pivot Tables

Crosstabs

Correlation

Data Visualization

Visualization fundamentals

Descriptive and statistical charts

Scatterplots

Statistical charts

Timeseries charts

Using Statistics to see if Beauty Pays

Does beauty pay?

Weighted means and standard deviations

Data wrangling

Descriptive statistics

Reproducibility with syntax

Keshav Kumar

Data Modeling and Advanced Analytics

1 年

Thank you for sharing. I remember first using SPSS in 2010 for analyzing survey results with ANOVA tests. To be honest, I regret that I never learnt it fully. It has so many wider applications.

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