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A hypothesis test is done in which the alternative hypothesis is that more than 10% of the population is left-handed.The p-value for the test is calculated to be 0.18Assume an 85% confidence level, Which statement is correct?

Question

A hypothesis test is done in which the alternative hypothesis is that more than 10% of the population is left-handed.The p-value for the test is calculated to be 0.18Assume an 85% confidence level, Which statement is correct?

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Solution

The correct statement is that we fail to reject the null hypothesis.

Here's the step-by-step explanation:

  1. The p-value is calculated to be 0.18. This is the probability of observing a result as extreme as, or more extreme than, the observed data, assuming that the null hypothesis is true.

  2. The confidence level is 85%, which corresponds to a significance level of 15% (100% - 85% = 15%). The significance level is the probability of rejecting the null hypothesis when it is true.

  3. Since the p-value (0.18) is greater than the significance level (0.15), we do not have enough evidence to reject the null hypothesis.

Therefore, we cannot conclude that more than 10% of the population is left-handed.

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