3. I want to assess whether or not a new drug meant to help with depressionsymptoms actually helps those with depression. I recruited 10 subjects withdepression and measured the number of symptoms they have (baseline). I then givethem the new drug and measure the number of depressive symptoms they have twoweeks later (post). I want to test the hypothesis that receiving the new drug willdecrease depressive symptoms. At an alpha of 0.05, please test this hypothesis.a. What is the null hypothesis?b. What is the alternative hypothesis?c. Using baseline - drug, compute difference values for this questions' data:Baseline (# symptoms)Drug (# symptoms)Difference values34221533211774d. What is the mean of the difference values?e. What is the standard deviation of the difference values?f. What is the standard error of the difference values?g. What is the critical t value (from the t table)?h. What is the obtained t value (from your calculation of T)?i. What can we conclude?

Since you have posted a question with multiple subparts, we will solve first three subparts for you.…

Answered: 3. I want to assess whether or not a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Two separate samples receive two different treatments. The first treatment group (N = 9) has a mean of 50 with SS = 710. The second treatment group (N = 6) has a mean of 60 with SS = 460. Is the second treatment group significantly larger than the first? What is the effect size?
A certain training device measures reaction times of users by illuminating lights, one at a time, and measuring the time it takes the user to press each light to turn it off. The makers of the device are marketing it for high-level training, saying that even among professional athletes, the proportion who can score the top ranking of "light speed" is less than 22% . As a fitness trainer who wants to buy the device to attract more customers, you want to feel comfortable that the claim made by the makers is correct. To test the claim, you decide to perform a hypothesis test. To do so, you rent the device and have a random sample of 130 professional athletes use it; 26 score a ranking of "light speed." You confirm that it is appropriate to perform a Z -test. Why is a Z -test appropriate? Find z , the value of the test statistic for your Z -test. Round your answer to three or more decimal places. =z
The well-known psychologist Dr. Elbod has established what he calls his Generalized Anxiety Scale (GAS). The GAS, which is a scale from 0 to 10, measures the "general anxiety" of an individual, with higher GAS scores corresponding to more anxiety. (Dr. Elbod's assessment of anxiety is based on a variety of measurements, both physiological and psychological.) We're interested in making predictions about individuals' sleep behavior based on their GAS scores. The bivariate data below give the GAS score (denoted by x) and the number of hours of sleep last night (denoted by y) for each of the fifteen adults participating in a study. A scatter plot of the data is shown in Figure 1. Also given is the product of the GAS score and the sleep time for each of the fifteen adults. (These products, written in the column labelled "xy", may aid in calculations.) GAS score, x 00 2.1 3.6 8.0 3.8 7.0 9.1 5.0 5.9 9.1 1.5 6.5 4.0 3.0 8.0 Sleep time, y (in hours) 8.2 7.4 1.0 Send data to calculator 7.4 8.4…
A researcher wants to know if a treatment significantly changes the wellbeing of someone with depression. The average person with depression scores a 7.2 on a wellbeing scale with a SD of 1.4 points. The researcher administers the treatment to 25 clients for a month and finds their wellbeing at the end to be 7.7. Assume an alpha level of .05. Imagine we know that a treatment actually does have an effect but the researcher concludes there is no effect. 1a. What error has the researcher made? 1b. Why might a researcher make this error? 1c. What is the probability of this error? 1d. How could we decrease this probability?
The contingency table shows the results of a random sample of patients from musculoskeletal injuries treated with acetaminophen or ibuprofen. At a=0.10, can you conclude that the treatment is related to the result? Result acetaminophen Ibuprofen Significant improvement 58 81 Slight improvement 42 19
What are the independent and dependent variables for the following examples? What statistical test would you use for each of the following scenarios? What would you set your alpha-level at? Sally wants to examine whether there is a difference in muscular strength between participants who engaged in an 8-week resistance training program and participants who engaged in an 8-week endurance training program. The participants only took part in one of the 8-week programs, not both. What test would she use to determine whether the differences in muscular strength are significant? Why?
A new medication is being developed to treat severe nausea and vomiting among chemotherapy patients. The information below was generated from a small sample size (n = 11) and shows the number of times a chemotherapy patient vomited both before and after treatment due to the side effects of chemotherapy. Set up and interpret the results of a sign test at the alpha equals .05 level to determine if there is a difference in symptoms before and after treatment. Chemotherapy Patient Before Treatment After Treatment Difference Sign 1 9 3 2 12 5 3 14 7 4 9 4 5 8 2 6 11 3 7 15 7 8 12 8 9 7 8 10 9 5 11 8 7 A) We fail to reject H0, which states the median difference in the number of vomiting episodes in a day before and after treatment are equal because 1 is less or equal to critical value 1 for a sign test…
According to a survey conducted by the Association for Dressing and Sauces, 85% of American adults eat salad at least once a week. A nutritionist suspect that the percentage is higher that this. She conducts a survey of 200 American adults an finds that 171 of them eat salad at least once a week. Conduct the appropriate test that addresses the nutritionist's suspicions. Use the a = 0.1 level of significance. What is the test statistic? t-score population parameter Z-Score standard deviation
What is the answer?
The well-known psychologist Dr. Elbod has established what he calls his Generalized Anxiety Scale (GAS). The GAS, which is a scale from 0 to 10, measures the "general anxiety" of an individual, with higher GAS scores corresponding to more anxiety. (Dr. Elbod's assessment of anxiety is based on a variety of measurements, both physiological and psychological.)We're interested in making predictions about individuals' sleep behavior based on their GAS scores. The bivariate data below give the GAS score (denoted by x) and the number of hours of sleep last night (denoted by y) for each of the fifteen adults in a study. The least-squares regression line for these data has equation Ŷ=8.48-0.28x This line, along with a scatter plot of the sample data, is shown below. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)

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