A political analyst wanted to see whether there is an association between political affiliation and where a person lives. The analyst took a random sample of 1,250 people in a state and asked them which political party they were affiliated with and what county they lived in. The following are the hypotheses the analyst tested. Ho : There is no association between party affiliation and the county in which a person lives. Ha: There is an association between party affiliation and the county in which a person lives. The chi-square test statistic and p-value of the hypothesis test were 19.78 and 0.003 respectively. Which of the following conclusions should be made about political affiliation and where a person lives? A There is convincing statistical evidence to suggest that political affiliation and where a person lives are independent. B There is convincing statistical evidence to suggest that political affiliation and where a person lives are dependent. There is convincing statistical evidence to prove that political affiliation and where a person lives are dependent. D There is not convincing statistical evidence to suggest that political affiliation and where a person lives are independent. E There is not convincing statistical evidence to suggest that political affiliation and where a person lives are dependent.

Pamela, and educational psychologist, is interested in assessing whether there are differences in how college students with different majors might respond to an ethical dilemma. To this end, she performed a study in which undergraduate marketing and finance majors were asked what they would do if they found a $100 bill in a Walton College of Business classroom. Specifically, would they turn in the $100 bill to the Walton College of Business lost and found? Of the 69 marketing majors who were randomly sampled, 52 said yes and of the 131 finance majors who were randomly sampled, 120 said yes (assume alpha equals .05). z-Test: Two Sample for Means t-Test: Two-Sample Assming Equal Variances Marketing Finance Marketing Finance Меan 0.75362 0.91603 Меan 0.75362 0.91603 Known Variance 0.43 0.28 Variance 0.18841 0.07751 Observations 69 131 Observations 69 131 Hypothesized Mean Difference Pooled Variance 0.1156 -1.7753 Hypothesized Mean DifferenCE z P(Z<-z) one-tail z Critical one-tail P(Z<-z)…

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Which of the following is a research hypothesis?      A. Liberals and conservatives have the same voting rates.       B. The rates of that senior citizens receive moving violations are not different from rates of moving violations seen in teenagers.       C. White and African Americans watch the same amount of TV.       D. Men and women have different levels of income.

A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6     Mean: 12.7 Mean: 13   Since the simulation shows ( many cases or free cases )?  where a mean  difference of ( solve for this answer )   or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely )  ?due to the random assignment of participants into groups, so the results of the study are (…

What type of statement is this? "Children of parents with college degrees are more likely to obtain college degrees themselves."   a. research question b. research hypothesis c. research purpose statement d. Null hypothesis   .

Participants in an experiment are asked to flip a fair coin and report the outcome. If they report H, they receive $10. If they report T, they receive $O. The experimenter observes that 70% of 1000 reports are H. How does this experiment provide evidence against or in favour of lying aversion? Please answer in at most three sentences.

Sierra College students enrolled in an online Elementary Statistics course were asked to participate in an anonymous onlne survey. The survey asked the students "Which type of device will you primarily use to access your online course in Canvas?". Of the 152 students who answered this question, 20 responded "a desktop computer", 121 responded "a laptop computer", 6 responded "a smartphone", and 5 responded "a tablet". The Sierra College Mathematics Department believes that less than 5% of students enrolled in an online Elementary Statistics course primarily uses a smartphone to access their online course in Canvas. Use the data collected in the survey to conduct a hypothesis testing procedure to test this belief. What conclusion should be reached according to the results of this hypothesis test?

During the first few weeks of the new television season, the evening news audience proportions were recorded as ABC - 31%, CBS - 34%, and NBC - 35%. A sample of 800 homes taken recently yielded the following viewing audience data.   Number of Homes ABC 305 CBS 255 NBC 240 ​ We want to determine whether or not there has been a significant change in the proportion of viewing audience of the three networks. a. State the null and alternative hypotheses to be tested. b. Compute the expected frequencies. c. Compute the test statistic. d. Determine the p-value for this test. Make a conclusion in the context of this problem