The Statistical Process

Explore the fundamental concepts of statistics in this comprehensive 90-minute tutorial. Delve into various types of data, including nominal, ordinal, interval, and ratio scales. Learn about sampling techniques such as simple random, convenience, systematic, cluster, and stratified methods, as well as understanding sampling error and variation. Discover the art of designing effective questionnaires and surveys, with guidance on writing good survey questions. Gain insights into statistical inference, choosing appropriate statistical tests, and interpreting statistical significance. Examine important concepts like correlation vs. causation, summary statistics (mean, median, mode), and measures of spread like standard deviation. Conclude with an introduction to experimental design from Dr Nic, equipping you with essential knowledge for conducting statistical analyses and interpreting data effectively.

Syllabus

Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help.
Sampling error and variation in statistics and data science.
Sampling: Simple Random, Convenience, systematic, cluster, stratified - Statistics Help.
Designing a Questionnaire or Survey - statistics help.
Writing Good Survey Questions - Statistics Help.
Understanding Statistical Inference - statistics help.
Statistical Tests: Choosing which statistical test to use.
Understanding Statistical Significance - Statistics help.
Correlation does not imply #causation and other important statistical concepts.
Summary statistics: Mean, Median, Mode - what they are and which one to use.
Understanding Standard deviation and other measures of spread in statistics.
The idea behind Inference - evidence!.
Types of data: Nominal, Ordinal, Interval, Ratio - practice identifying - statistics help.
Experiments - an introduction from Dr Nic.