11.3 Hula hoop

The class tested the hypothesis that there is a difference in hula hooping by gender as measured by the number of rotations.

With only four males present the sample size was kept at four for both genders.

"Equal sample sizes are not strictly required for an independent samples t-test, but they are ideal because they increase statistical power and make the test more robust to violations of the equal variances assumption. When sample sizes are equal, the t-test's validity is less threatened by factors like differences in variance, and the results are more reliable."
- Gemini 

The men took the lead and went first.

Omar would power through to 160 rotations.

Aikman's first time to hoop

Grace took the lead for the females


Emars hooping



Anastasia wrapped up the hooping for the females.

The result was no gender difference in hooping skills as measured by the number of rotations. While this exercise is fun and entertaining, the failure to achieve a significant difference means that Cohen's d cannot be calculated. Perhaps this is better done as an 11.2 example and then 11.3 could be a rethrow of paper aircraft using the fold number five dart design to achieve a statistically significant greater distance. 

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