This course covers the learning outcomes and goals of choosing the appropriate statistical test, including hypothesis testing, p-values, t-tests, regression analysis, and chi-square tests. The course teaches skills such as selecting the right statistical test, conducting hypothesis tests, interpreting p-values, performing t-tests and regression analysis in Excel, and analyzing categorical data. The teaching method includes step-by-step explanations, practice examples, and demonstrations using Excel. The intended audience for this course is individuals interested in statistics, data analysis, and research methods.
Overview
Syllabus
Statistical Tests: Choosing which statistical test to use.
Choosing which statistical test to use: Practice examples.
Hypothesis testing: step-by-step, p-value, t-test for difference of two means - Statistics Help.
Two means t-test in Excel - Statistics Help.
Scatterplots in Excel, Regression part 1 - Statistics Help.
Regression in Excel - Statistics Help.
P-value in statistics: Understanding the p-value and what it tells us - Statistics Help.
Chi-sq test: (1) Analysing categorical data in a two-way table, using Excel and chocolate.
Hypothesis test (t-test) for a mean in Excel - statistics help.
Paired samples and independent samples for statistical analysis - statistics help.
Taught by
Dr Nic's Maths and Stats
