Only 17% of registered voters voted in the last election. Will voter participation increase for the upcoming election? Of the 371 randomly selected registered voters surveyed, 85 of them will vote in the upcoming election. What can be concluded at the a = 0.10 level of significance? 3. For this study, we should use t-test for a population mean v b. The null and alternative hypotheses would be: H0: ? v Select an answer V l:] (please enter a decimal) H1: ? v Select an answer v 1: (Please enter a decimal) c. The test statistic = [:] (please show your answer to 3 decimal places.) d. The p-value = [:] (Please show your answer to 4 decimal places.) e. The p-value is a f. Based on this, we should the null hypothesis. g. Thus, the final conclusion is that O The data suggest the populaton proportion is significantly higher than 17% at a = 0.10, so there is statistically significant evidence to conclude that the the percentage of all registered voters who will vote in the upcoming election will be higher than 17%. O The data suggest the population proportion is not significantly higher than 17% at a = 0.10, so there is statistically significant evidence to conclude that the percentage of registered voters who will vote in the upcoming election will be equal to 17%. O The data suggest the population proportion is not significantly higher than 17% at or = 0.10, so there is statistically insignificant evidence to conclude that the percentage of registered voters who will vote in the upcoming election will be higher than 17%. 12% of all college students volunteer their time. Is the percentage of college students who are volunteers smaller for students receiving financial aid? 0f the 358 randomly selected students who receive financial aid, 39 of them volunteered their time. What can be concluded at the a = 0.10 level of significance? a. For this study, we should use Select an answer v b. The null and alternative hypotheses would be: H0: ? v Select an answer v C] (please enter a decimal) H1: ? v Select an answer v I: (Please enter a decimal) c. The test statistic = I:] (please show your answer to 3 decimal places.) d. The p-value = [:] (Please show your answer to 4 decimal places.) e. The p-value is a f. Based on this, we should the null hypothesis. g. Thus, the final conclusion is that O The data suggest the population proportion is not significantly lower than 12% at a = 0.10, so there is insufficient evidence to conclude that the percentage of financial aid recipients who volunteer is lower than 12%. O The data suggest the populaton proportion is significantly lower than 12% at a = 0.10, so there is sufficient evidence to conclude that the percentage of financial aid recipients who volunteer is lower than 12%. O The data suggest the population proportion is not significantly lower than 12% at a = 0.10, so there is sufficient evidence to conclude that the percentage of financial aid recipients who volunteer is equal to 12%. Only about 15% of all people can wiggle their ears. Is this percent lower for millionaires? 0f the 375 millionaires surveyed, 49 could wiggle their ears. What can be concluded at the a = 0.05 level of significance? a. For this study, we should use Select an answer v b. The null and alternative hypotheses would be: H0: ? v I: (please enter a decimal) H1: ? v [:] (Please enter a decimal) c. The test statistic = I:] (please show your answer to 3 decimal places.) d. The p-value = C] (Please show your answer to 3 decimal places.) e. The p-value is ac f. Based on this, we should the null hypothesis. g. Thus, the final conclusion is that O The data suggest the population proportion is not significantly lower than 15% at a = 0.05, so there is statistically insignificant evidence to conclude that the population proportion of millionaires who can wiggle their ears is lower than 15%. O The data suggest the population proportion is not significantly lower than 15% at a = 0.05, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is equal to 15%. O The data suggest the populaton proportion is significantly lower than 15% at a = 0.05, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is lower than 15%