A matched pairs experiment compares the taste of instant coffee with fresh-brewed coffee. Each subject tastes two unmarked cups of coffee, one of each type, in random order and states which he or she prefers. Of the 50 subjects who participate in the study, 19 prefer the instant coffee and the other 31 prefer fresh-brewed. Let p be the proportion of the population that prefers fresh-brewed coffee. a. Test the claim that a majority of people prefer the taste of fresh-brewed coffee. Report the z test-statistic and its p-value. Is your test result significant at the α = 10% level? What is your practical conclusion? b. Use RStudio to compute the 90% confidence interval. Use the data set above.  c. Find a 90%(not 95%) confidence interval for population proportion p.

A store owner wants to know if he sells more sandals or sunglasses during the summer. He records the number of sales for both products for the entire month of June. What is the data-gathering technique used? A experiment randomized survey observational study D voluntary survey C

A research group is conducting an experiment to study the relationship between fitness levels and the number of hours spent exercising each week. Subjects are randomly selected and, after several fitness tests, are assigned a fitness score. The number of hours spent exercising per week is also recorded. Data for 15 subjects are given below. Subject Hours of Exercise per Week Fitness Score 1 1 3 2 1.5 4.7 3 1.75 6 4 2 5 5 2 6.5 6 4.5 14.2 7 2.5 13.5 8 3.25 15 9 3 13.4 10 3.75 14 11 3.5 10 12 4 10 13 2.5 12 14 5.25 14.5 15 5 15 Create a bar graph in Microsoft® Excel® using the data. Label the graph and include the source of the data. Construct an equation in two variables that models this relationship. This equation may be linear, polynomial, rational, square root, or variation? Is the equation an exact model or an approximate model of the relationship between the variables? Explain your reasoning. Use the equation to make a prediction of the likely value of the…

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A crossover trial is a type of experiment used to compare two drugs. Subjects take one drug for a period of time, then switch to the other. The responses of the subjects are then compared using matched-pair methods. In an experiment to compare two pain relievers, seven subjects took one pain reliever for two weeks, then switched to the other. They rated their pain level from 1 to 10, with larger numbers representing higher levels of pain. The results were: Subject Drug A Drug B 1 6 5 2 3 1 3 4 4 7 6 2 7 4 2 Can you conclude that the mean pain level is less with drug B? Use a=0.05. (1) Critical Value (Round off to 3 decimal places): (2) Test Statistic (Round off to 2 decimal places): (3) Conclusion: (Type 'Reject HO' or 'Fail to Reject HO')

Find test statistic, critical value & conclusion

College students and STDs: A recent report estimated that 25% of all college students in the United States have a sexually transmitted disease (STD). Due to the demographics of the community, the director of the campus health center believes that the proportion of students who have a STD is higher at his college. He tests H0: p = 0.25 versus Ha: p > 0.25. The campus health center staff select a random sample of 150 students and determine that 43 have been diagnosed with a STD. Conduct a hypothesis test to address the director’s hypothesis. Use a 5% significance level to make your decision. Use the applet to determine the P‑value. Click here to open the applet. Which of the following is an appropriate conclusion based on the results?  The data provides strong evidence that the proportion of students at his college who have a STD is more than 25%.  The data suggests that the proportion of students at his college who have a STD is 29%.  Of the students surveyed at his college, 29%…

Tne roilowing tapie contains tne scores rom a group or 1ɔ nign scnooi seniors on a psycnoiogicai assessment or positive arrect ror tne supject or matn ana tneir scores on the same assessment for the subject of chemistry. The assessment measures the strength of the student's positive feelings towards the subject on a 40-point scale, with 40 being the most positive. Positive Affect Assessment Score for Math Assessment, x Score for Chemistry Assessment, y 25 20 31 24 7 10 31 25 10 4 8 27 26 9 8 10 9 9 29 28 16 17 23 17 26 14 40 28 Copy Data Step 1 of 2: Calculate the sum of squared errors, SSE, based on a regression analysis of the assessment data. Round your answer to two decimal places, if necessary.

Micah is interested in testing whether college students' levels of gratitude change over the course of the semester. He randomly selects a sample of 100 students and assesses their levels of gratitude at the beginning, and end of the semester.   Question 17 options:   ANOVA   Paired samples t test   Independent samples t test   Correlation

Dataset: NES. Variables: spend8, nesw.) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the Analyze ▶ Compare Means ▶ One-Sample T Test procedure. You then will draw inferences about the population mean. Make sure you weight observations using the nesw variable so your results are nationally representative.   A. The spend8 variable has a sample mean of ______.