I keep getting them all wrong.
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- ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: df Within-Group:__________ df Between-Groups:___________ Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22) for Group 2: ___________ Estimated…Determine whether there appears to be a Main Effect for IV-A by writing “YES” or“NO” Determine whether there appears to be a Main Effect for IV-B by writing “YES” or“NO”Every day a school bus driver passes the same traffic light twice, once before school and once after. Each time he passes the light, he records if it is red, green, or yellow. Here is a summary of the data he got after 200 days. Traffic light before school red red red green green green yellow yellow yellow Traffic light after school red green yellow red green yellow red green yellow Number of days 25 38 12 34 36 11 16 13 15 Suppose the driver will continue recording the colors for 150 more days. In how many of these 150 days will the light be yellow exactly once? Use the data to make a prediction.
- 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…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…Describe in your own words the YRBBS to someone who does not know the system. Specifically, explain: What is it? Who owns it? Who can usethe system? Where does the data in it come from? From whom is the data collected?
- You want to determine how many loaves of Bread are sold per day at Schat’s Bakery. You stand outside for ten different randomly selected days, count the number of loaves, and then average them. You come up with 421 loaves per day. In reality, Schat’s keeps records of how many loaves they sell per day, and in they averaged 395 loaves per day. What is the static in the above example?Determine whether there appears to be a Main Effect for IV-A by writing “YES” or“NO” Determine whether there appears to be a Main Effect for IV-B by writing “YES” or“NO”Psychologists Erik Erikson suggested that individuals go through eight developmental stages of life. Erikson believed that at stage 8 (age 65 to death), an adult's fear of death can be predicted by the satisfaction they feel when reflecting back on their lives. To investigate, a psychiatrist interviewed a random sample of adults age 65 and older, and scored them on their satisfaction with their lives and their fear of death. The psychiatrist wants to confirm Erikson's theory. What can be concluded with a = 0.01? fear of death satisfied 4 3 4 2 2 10 3 2 4 7 3 4 8. 4 a) Select and compute the appropriate statistic. ---Select--- b) Input the appropriate value(s) to make a decision about Ho. p-value X ; Decision: Fail to reject H0 v c) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below.. Effect Size = 0.266 ; Magnitude: na d) Make an interpretation based on the results. More life satisfaction…
- Mateo believes that completely cutting caffeine out of a person's diet will allow them more restful sleep at night. He randomly selects 8 adults to help him test this theory. Each person is asked to consume two caffeinated beverages per day for 28 days and then cut back to no caffeinated bevarages for an additional 28 days. During each period, the participants record the number of nights of restful sleep that they had. The following table gives the results of the study. Test Mateo's claim at the 0.05 level of significance. Give answers to 4 decimal places as needed. Number of Nights of Restful Sleep in a Four-Week Period 15 With Caffeine 21 20 22 24 18 21 24 20 26 26 22 21 23 27 23 Without Caffeine a) The normal probability plot showed the differences follow a normal distribution and the boxplot showed no outliers. b) Test the claim (1) Determine the null and alternative hypotheses. Enter correct symbol and values Ho: H₁: (2) Type of test: (3) a = (4) Test statistic (to) = p-value =…(For Questions 17-19 and 20-24). The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F…Determine whether there appears to be a Main Effect for IV-A by writing “YES” or“NO” Determine whether there appears to be a Main Effect for IV-B by writing “YES” or“NO”