Math links

Uni5 Statistics-

Explain P value with words 1. Randomness 2. Repeating times  3. Mean 4. Variations 5. values.


Intro to statistics-

Best Diversity analysis video

simple distribution

logs well explained

very simple explantion on statistical model

p value

Excellent student t test-equal and unequal variance

good overview of which to apply 

simple excel calculation t test

Good on confidence interval and population mean

Good on Anova

what statisitics should we use

good for science fair projects

Hypothesis testing

Good- Hypoethesis testing.

what is P value? (goood animation)

Comprehensive statistics

probability - good one

How to choose the right statistical test?

choosing right test


simple on p value- null hypothesis


Many Good Tools for analysis

Good for student t test-maunal and if statement


Chi square test in excel

Summary: 1.The t-test is used when determining if two averages or means are the same or different. The ANOVA is preferred if comparing three or more averages or means. 2.A t-test has more odds of committing an error the more means are used which is why ANOVA is used when comparing two or more means. Read more: Difference Between T-TEST and ANOVA | Difference Between | T-TEST vs ANOVA

ANOVA is based on a comparison of two different sources of variation: ANOVA is the ANOVA F-test-Fisher The average variation of observations within each group around the group mean – The average variation of the group means around the grand mean • The grand mean is the mean of all observations

The advantage of using ANOVA over multiple t-tests is that the ANOVA F-test will identify if any of the group means are significantly different from at least one of the other group means with a single test.

–F = average variability among groups average variability within groups


Post Hoc analysis

which post hoc to use?  and another discussion.

good example with coco cola


Data Analaysis




Joomla! Debug Console


Profile Information

Memory Usage

Database Queries