anonymous
  • anonymous
ou are shown a coin that its owner says is fair in the sense that it will produce the same number of heads and tails when flipped a very large number of times. a. Describe an experiment to test this claim. b. What is the population in your experiment?
Statistics
  • Stacey Warren - Expert brainly.com
Hey! We 've verified this expert answer for you, click below to unlock the details :)
SOLVED
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
schrodinger
  • schrodinger
I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!
anonymous
  • anonymous
In this case, the common-sense approach is correct. Flip the coin a great many times. See if the resulting number of heads is close to 50%. This is classic 'Bernoulli trials' experiment, because there are two possible outcomes. The populations is the number of flips (events). Use the binomial distribution to determine how likely the result (or one more extreme) is to occur with a fair coin. For example, if you flip the coin 8 times and get heads once, sum the probability of getting zero or one heads in 8 tosses of a fair coin. (.035) So a fair coin would only give these results 3.5% of the time. (do you have this equation in your textbook?) A common acceptance criteria is 5%, so many would reject the coin as likely unfair. Experimenter must determine the appropriate number of tosses and the 'acceptance criteria' based on the amount of time available for testing and the impact of reaching a wrong conclusion. I hope this helps. There are different levels of detail that could be applied depending on what you are studying.

Looking for something else?

Not the answer you are looking for? Search for more explanations.