Is my work right? I feel like I did something wrong.

We've studied two different basic types of research studies, Observational Studies and Experiments. They have similarities and differences in their methodologies, and in some cases it is not practical nor ethical to design a study one way or the other. And this affects the kinds of conclusions the research can ultimately reach. This discussion is designed for students to help each other build a complete understanding, and clearly separate these as two distinct concepts. Discuss the similarities and differences between these, as well as the research conclusions to which they can possibly lead.

You may need to use the appropriate technology to answer this question. A poll tracks the favorite sport of Americans who follow at least one sport. Results of the poll show that professional football is the favorite sport of 33% of Americans who follow at least one sport, followed by baseball at 15%, men's college football at 10%, auto racing at 6%, men's professional basketball at 5%, and ice hockey at 5%, with other sport at 26%. Consider a survey in which 344 college undergraduates who follow at least one sport were asked to identify their favorite sport produced the following results: Professional Football 113 Baseball 37 Men's College Football 48 Auto Racing 12 Men's Professional Basketball 8 Ice Hockey 19 Other Sports Find the p-value. (Round your answer to four decimal places.) p-value = 107 Do college undergraduate students differ from the general public with regard to their favorite sports? Use a = 0.05. State the null and alternative hypotheses. O Ho: Undergraduate students…

According to Masterfoods, the company that manufactures M&M’s, 12% of peanut M&M’s are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. You have a very large quantity of M&M's available to you to choose from (a huge bag, so the actual number of them does not matter). [Round your answers to at least 5 decimal places, for example: 0.12345]Compute the probability that a randomly selected peanut M&M is not blue.Compute the probability that a randomly selected peanut M&M is red or green.Compute the probability that two randomly selected peanut M&M’s are both brown.If you randomly select five peanut M&M’s, compute that probability that none of them are blue.If you randomly select five peanut M&M’s, compute that probability that at least one of them is blue.

I need help with just part c. Someone on here already answered it for me but I'm really confused as there are steps missing and I'm not sure what to put in the calculator.  " The first quartile separates the lowest 25% of the observations from the higher 75% of the observations. The first quartile is denoted by Q1. The second quartile separates the lower 50% of the observations from the higher 50% of the observations. The second quartile is denoted by Q2.The second quartile is same as median. The third quartile separates the lowest 75% of the observations from the higher 25% of the observations. The third quartile is denoted by Q3. The third quartile can obtained as follows...." Third Quartile is 1 somehow, and I don't understand how it is.

Jerry is considering opening a new ice cream store at a certain location on State Street in Madison. Jerry conducts some analysis and determines that a given location is acceptable only if the number of pedestrians passing the potential location averages more than 100 per hour. To check if this location is acceptable, Jerry records the number of pedestrians observed for each of 40 hours. Jerry finds that the average number of pedestrians that pass the potential location during each of the 40 hours he was observing, is 105.7 per hour. Jerry assumes that he knows the population standard deviation to be 16. Can Jerry conclude at the 1% significance level that the potential location for the ice cream store is acceptable? a. What is the correct set of hypotheses? Answer: Ho: u = 100 and H1: u> 100 v b. Determine the p-value Answer: 0.0122 c. Interpret the results Answer: There is not enough evidence d. Jerry is concerned with committing a Type II error. Determine the probability of Type II…

Many graduate school programs in the United States require applicants to take the Graduate Record Exam, also called the GRE. One part of the exam, the GRE-Quantitative test, assesses students' level of quantitative reasoning and thinking - exactly the skills we are building in our class this semester. The highest score possible on the GRE-Quantitative test is a score of 800. Many graduate schools think that a score of 700 or higher on the GRE-Quantitative test shows that the applicant has strong quantitative skills. The table shows the number of people who took the GRE between 2003 and 2006 who had GRE-Quantitative test Scores of 700 or higher. All of the people represented in the table planned to major in one of the two listed areas of the social sciences. a. Complete the table. INTENDED MAJOR GRE-QUANTITATIVE SCORE Below 700 700 to 800 TOTAL Economics 2,143 6,775 Political Science 4,071 19,450 TOTAL 8,703

A serious side effect of allergy medicines is that they cause drowsiness, which can cause many problems for the individuals taking them.  In recent years, a new non-drowsy allergy medicine has been developed.  The company that created the medicine claims to be the first, once-a-day, non-drowsy allergy medicine (call it Medicine A).  An independent research group wanted to check on this claim by comparing medicine A with another allergy medicine not advertised as non-drowsy (call it Medicine B).  A random sample of 3,193 allergy sufferers was selected and each individual was randomly assigned to take either Medicine A or Medicine B.  From the Medicine A group, 114 of 1,604 reported drowsiness and from the Medicine B group, 155 of 1,589 reported drowsiness.     Calculate and label the two sample proportions separately. Next, calculate the difference between these sample proportions by subtracting (Medicine A – Medicine B).  Complete these calculations by hand, label each of them, and…

Hello. Can I get help on how to work this problem? Thank You!

The amount of contaminants that are allowed in food products is determined by the FDA (Food and Drug Administration). Common contaminants in cow milk include feces, blood, hormones, and antibiotics. Suppose you work for the FDA and are told that the current amount of somatic cells (common name "pus") in 1 cc of cow milk is currently 750,000 (note: this is the actual allowed amount in the US!). You are also told the standard deviation is 62000 cells. The FDA then tasks you with checking to see if this is accurate.  You collect a random sample of 45 specimens (1 cc each)  which results in a sample mean of 762004 pus cells. Use this sample data to create a sampling distribution. Assume that the population mean is equal to the FDA's legal limit and see what the probability is for getting your random sample. a. Why is the sampling distribution approximately normal?  b. What is the mean of the sampling distribution? c. What is the standard deviation of the sampling distribution? d. Assuming…