As such, the final conclusion is that... '3' There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3. '3' There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3. '33:? The sample data support the claim that the proportion of stocks that went up is more than 0.3. '33:? There is not sufficient sample evidence to support the claim that the proportion of stocks that went up is more than 0.3. Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006}. On the basis of this fact, a financial analyst claims we can assume that 3096 of the stocks traded on the New York Stock Exchange {NYSE} went up the same day. A sample of 54 stocks traded on the NYSE that day showed that 20 went up. You are conducting a study to see if the proportion of stocks that went up is significantly more than 0.3. You use a significance level of a: = 0.001. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? {Report answer accurate to four decimal places.) p-value = The p-value is... '13:? less than [or equal to) 0: '13:? greater than a: This test statistic leads to a decision to... '33:? reject the null '33:? accept the null As such, the final conclusion is that... '3' There is sufficient evidence to warrant rejection of the claim that the first population proportion is less than the second population proportion. '3' There is not sufficient evidence to warrant rejection of the claim that the first population proportion is less than the second population proportion. '13:? The sample data support the claim that the first population proportion is less than the second population proportion. '33:? There is not sufficient sample evidence to support the claim that the first population proportion is less than the second population proportion. You wish to test the following claim {Ha} at a significance level of or = 0.005. HoiP1=P2 Ho:pl {P2 You obtain 89.3% successes in a sample of size it] = 775 from the first population. You obtain 91% successes in a sample of size \":12 = 752 from the second population. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? {Report answer accurate to four decimal places.) p-yalue = The p-value is... '33:? less than [or equal to) o: '33:? greater than or This test statistic leads to a decision to... '13:? reject the null '13:? accept the null '3' fail to reject the null