Jeffrey thinks that students on the baseball team who drink Sporty brand sports drink score more runs than those who do not. What experiment could Jeffrey design to test his hypothesis?
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Jeffrey thinks that students on the baseball team who drink Sporty brand sports drink score more runs than those who do not. What experiment could Jeffrey design to test his hypothesis?
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- Can You Tell a Story About Your Parents? In a study, young adults in the US were asked to recall a story that their parent(s) had told them about a time when their parent(s) were young. In a report of the study, it was stated that “more than 90% of teenagers and young adults can retell family stories when asked, even if they seemed uninterested when the stories were told.” The actual results of the study were that 244 young adults out of the 260 young adults who were asked about this were able to recall such a story. (a) If the standard error for the distribution is 0.015, find a 95% confidence interval for the proportion of young US adults who can recall a story that parent(s) told them about when the parent(s) were young. (b) Is the 90% value that was stated in the report consistent with the confidence interval?Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…Say Dr. Callahan measures her students' levels of narcissism. Her findings reveal that narcissism rates are higher in her male students versus her female students, a finding that is consistent with previous research. She also finds that the overall class average (11.5 out of 20) is lower than typical undergraduates' levels (15.5). Which of the following statements about this scenario is TRUE? She can conclude that being a SSU student is associated with lower levels of narcissism. She needs to be skeptical of her findings because she did not have a random sample. She needs to be skeptical of her findings because she did not have random assignment. She can conclude that her sample is externally valid because it replicates previous research. She can conclude that being a SSU student causes narcissism to decrease.
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- In a survey of working parents (both parents working), one of the questions asked was "Have you refused a job, promotion, or transfer because it would mean less time with your family?" Two hundred men and 200 women were asked this question. Twenty-nine percent of the men and 24% of the women responded "yes." a. Based on this survey, can we conclude that there is a difference in the proportion of man and women responding “yes" at the 0.05 level of significance? (i) State the null and alternative hypotheses (ii) What test statistics would you use and why? (iii) Compute the value of the test-statistic. (iv) What rejection region would you use? (v) State your conclusion in the context of the problem. b. What P-value is associated with this test? Based on this P-value, could H. be rejected at significance level 0.08? c. Find a 95% confidence interval for the difference between the proportion of men and women responding "yes." Based on this confidence interval, would your conclusion be the…Brown wants to conduct an assessment of where employees live and how employees work. Brown wanted to know if where you lived was related to how you worked. What hypothesis tests can be used in this case?According to the Pew Research Center, 14% of adults rate basketball as their favorite sport. Your boss believes the proportion may be lower among adults over age 65, and wants you to collect evidence to see if this is true. You take a survey of adults over age 65, and only 12 out of 120 of them rate basketball as their favorite sport. You would like to set �=0.05. Your boss tells you that your firm will base some expensive decisions on the results of your hypothesis test, so a higher standard of evidence for rejecting the null hypothesis is needed. What should you do? Group of answer choices Keep the significance level the same but collect more data Increase the significance level to 10% Reduce the significance level to 1% Throw out observations that look suspicious thanks