Tegan is trying to decide if a coin is fair. She flips it 100 times and gets 63 heads. Please explain why it might make sense to view 63 heads as enough evidence to conclude the coin is unfair.
here for a fair coin ; probability of getting a head p=1/2
hence for 100 flips ; expected heads =np=100*1/2 =50
std deviation =sqrt(np(1-p))=5
as 63 heads fall more then 2 std deviation from mean value of heads which is considered to be an unusual event ; therefore having 63 heads is enough evidence to conclude the coin is unfair.
Tegan is trying to decide if a coin is fair. She flips it 100 times...
Leela is trying to decide if a coin is fair. She flips it 100 times and gets 63 heads. Please explain why it might NOT make sense to view 63 heads as enough evidence to conclude the coin is unfair.
Polly is testing a coin to see if it is fair. She flips it 100 times and gets 50 heads. What should her conclusion be?
An experimenter flips a coin 100 times and gets 62 heads. We wish to test the claim that the coin is fair (i.e. a coin is fair if a heads shows up 50% of the time). Test if the coin is fair or unfair at a 0.05 level of significance. Calculate the z test statistic for this study. Enter as a number, round to 2 decimal places.
an experimenter flips a coin 100 times and gets 54 heads. Test the claim that the coin is fair against the two-sided alternative.
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