



Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
How to perform a chi-square test on a probability example using the results of a coin toss experiment. The observed and expected frequencies, calculates the chi-square value, and consults a table of critical values to estimate the probability of the observed results. The document also discusses the interpretation of the chi-square test results and their implications for the fairness of the coin.
Typology: Slides
1 / 7
This page cannot be seen from the preview
Don't miss anything!
Heads Tails Total Observed 108 92 200 Expected 100 100 200 Total 208 192 400
If you flip a coin and observe these results:
What you need to do is first establish our null hypothesis. In this example, our null hypothesis is that the coin should be equally likely to land head-up or tails-up every time. The null hypothesis allows us to state expected frequencies. For 200 tosses, we would expect 100 heads and 100 tails.
Heads Tails Total
Observed 108 92 200 Expected 100 100 200 Total 208 192 400
If the offspring were as follows, what would the parents be and what does our chi-square test show? 98 - purple and smooth 108 - purple and wrinkled 96 - yellow and smooth 95 - yellow and wrinkled