In: Math
Ads: A company is willing to renew it advertising contact with a local radio station only if the station can prove that more than 20% of the residents of the city heard the ad and not recognize the company’s product. The radio station conducts a random phone survey of 400 people.
A) What are the hypotheses
B) The station plans to conduct this test using a 10% level of significance, but the company wants the significance level lowered to 5%?
C) What is meant by the power of the test?
D) For which level of significance will the power of the test be higher? Why?
E) They finally agree to use a = 0.05, but the company proposes that the station call 600 people instead of the 400 initially proposed. With that make the risk of Type II error higher or lower? Explain
A) Say p0 is the proportion of residents of the city who have heard the ad but not recognized the company's product
Null Hypothesis: p0 <= 0.2
Alternate Hypothesis: p0 > 0.2
B) The significance level of the test is that the probability of committing a type 1 error, that is, incorrectly rejecting a true null hypothesis. Company wants to decrease the probability of committing this error from 10% to 5%
C) Power of the test is the probability of not committing a type 2 error, that is, not rejecting a false null hypothesis.
D) The power of the test will be higher in-case of the higher significance level, that is when the significance level, alpha was 0.10 because the region of acceptance gets lower in the case of alpha = 0.1 leading to less probability of a type 2 error.
E) Increasing the sample size leads to increase in power because a larger sample size narrows the distribution of the test statistic.