|
Answer» To identify this, we perform a hypothesis test as below: According to the null hypothesis, the coin is unbiased if the probability of HEAD flipping is 50%. According to the alternative hypothesis, the coin is biased and the probability is not equal to 500. Perform the below steps: - Flip coin 500 times
- Calculate p-value.
- Compare the p-value against the alpha -> result of two-tailed test (0.05/2 = 0.025). FOLLOWING two cases MIGHT occur:
- p-value > alpha: Then null hypothesis holds good and the coin is unbiased.
- p-value < alpha: Then the null hypothesis is REJECTED and the coin is biased.
|