We are testing,
H0: The coin is unbiased
vs H1: The coin is biased
For the test we will use a Chi square test of Independence.
Now, If a coin is flipped once Probability of getting heads= 0.5
So out of 100 flips, we expect 50 heads and 50 tails.
Observed Expected
Heads 75. 50
Tails 25. 50
Now, Chi square test statistic:
= (75-50)^2/50 + (25-50)^2/50
= 25
Df = (r-1)(c-1) = (2-1)*(2-1) = 1
If Bob wants to be 99% certain, them alpha level is 0.01
So, Critical value from chi square tables is:
Chi square 0.01,1 = 6.635
Since the test statistic > critical value, we have sufficient evidence to reject H0 at the 99% confidence level and conclude that yes, the coin is biased.
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