Researchers conducted a study to determine whether magnets are effective in treating back pain. The results are shown in the tablefor the treatment (with magnets) group and the sham (or placebo) group. The results are a measure of reduction in back pain.Assume that the two samples are independent simple random samples selected from normally distributed populations, and do notassume that the population standard deviations are equal. Complete parts (a) and (b) below.(Round to two decimal places as needed.)The P-value is (Round to three decimal places as needed.)State the conclusion for the test.The test statistic, t, isthe null hypothesis. Therepain than those given a sham treatment.Is it valid to argue that magnets might appear to be effective if the sample sizes are larger?for those treated with magnets isSince theHnXSTreatmentthe sample mean for those given a sham treatment, itGF150.490.89sufficient evidence to support the claim that those treated with magnets have a greater mean reduction invalid toSham12150.421.12 KHResearchers conducted a study to determine whether magnets are effective in treating back pain. The results are shown in the tablefor the treatment (with magnets) group and the sham (or placebo) group. The results are a measure of reduction in back pain.Assume that the two samples are independent simple random samples selected from normally distributed populations, and do notassume that the population standard deviations are equal. Complete parts (a) and (b) below.the null nypotnesis. I nerepain than those given a sham treatment.Is it valid to argue that magnets might appear to be effective if the sample sizes are larger?Since thefor those treated with magnets isargue that magnets might appear to be effective if the sample sizes are larger.<1₁-112₂²(Round to three decimal places as needed.)Treatment1A150.490.89sumicient evidence to support the claim that those treated with magnets nave a greater mean reduction inthe sample mean for those given a sham treatment, itShamH215b. Construct a confidence interval suitable for testing the claim that those treated with magnets have a greater mean reduction in pain than those given asham treatment.0.421.12valid to

Answered: Image /qna-images/answer/a66e7360-a5b8-4c5e-8d11-6ea787ae5c6e.jpg

Answered: K H Researchers conducted a study to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 10 randomly selected hours. Defects (Y) Production rate per hour(X) 2 40 3 45 1 35 2 37 3 40 2 40 3 45 2 30 1 30 4 30 (a). Construct a scatter plot diagram and comment on the relationship between y and x (b). Calculate the correlation coefficient (r) between x and y and comment on the result. (c). Find the coefficient of determination and interpret the result.
The data show the number of hours of television watched per day by a sample of 28 people. Use technology to answer parts (a) and (b) below. 3 6 5 4 1 5 5 7 5 8 6 4 1 7 3 4 9 5 4 0 0 1 0 4 8 5 9 2 a. Find the data set's first, second, and third quartiles. Q1 = Q2 = Q3 = (Type integers or decimals. Do not round.)
Devise a hypotheses for the research question: Is there singificant correlation between students height and typical amount of sleep a student gets per night? Identify the appropriate statistical test using alpha = 0.05. Perform the statistical test. Use descriptive statistics to describe the variables both numerically and graphically. Height (whole inches) Sleep (minutes) 60 360 62 400 66 420 68 440 68 540 70 480 72 320 75 440 66 360 63 420 69 420 75 390 69 360 67 480 69 360 73 360 69 480 70 420 68 360 63 480 69 270 68 360 71 420 71 360 62 420
The distribution of male height (X) in the US is known to be normally distributed with mean of about 70 inches and variance of 25 inches. What is the IQR? (hint: think about what the IQR represents in a boxplot with regard to percentiles). The z tables can be found at the bottom of the written portion of the exam or at the end of Lecture Note 10. a.) 5.0 b.) 9.0 c.) 7.3 d.) 10.0 e.) 6.7
The mean and standard deviation of a set of 11 observations of time are 8 seconds and 2.5 seconds respectively. An observation, equal to the mean, is removed from the dataset. The new variance in seconds is approximately: A. 6.51 sec B. 7.00 sec C. 7.53sec D. 6.94 sec
Assume that the wavelengths of photosynthetically active radiations (PAR) are uniformly distributed at integer nanometers in the red spectrum from 640 to 665 nm. What is the mean and variance of the wavelength distribution for this radiation? Round your answers to one decimal place (e.g. 98.7). Mean = i Variance = i
Two samples each have n = 4 scores. If the first sample has a variance of 10 and the second sample has a variance of 6, what is the estimated standard error for the sample mean difference? a. 2 b. Cannot determine without more information c. 1 d. 4
An experiment where a patient's blood pressure is measured before a treatment (call it X;) and after the treatment (call it Y;). The difference in the blood pressue of each patient, Z; = Y; – X; is also recorded. The sample size n of patients is large. Suppose the true population mean of the patient's blood pressure before treatment is 41 and after treatment is 42, both unknown. Suppose the true population variance of the patient's blood pressue before and after treatment are the same, but unknown. Find an approximate 1-a confidence interval for 12 - 41- 2.
A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of α = 0.05. Click here to view a table of critical values for the correlation coefficient. Determine the null and alternative hypotheses. Ho: P H₁: P (Type integers or decimals. Do not round.) Identify the test statistic, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There are two critical values at r = ± B. There is one critical value at r = State the conclusion. Because the absolute value of the test statistic is the positive critical value, there there is a linear correlation between the weights of discarded paper and glass for a significance level of α = 0.05.…
A random sample of 16 statistics examinations from a large population was taken. The average score in the sample was 78.6 with a sample variance of 64. We are interested in determining whether the average grade of the population is significantly more than 75. Assume the distribution of the population of grades is normal. The value of the test statistic is 1.80 O b. 3.6 С. 0.45 2.
1.com Statistics students believe that the mean score on a first statistics test is 65. The instructor thinks that the mean score is higher. She samples 10 statistics students and obtains the scores: Grades 96 69 83.2 69 65 85.5 74.4 65 85.5 66.5 Test grades are believed to be normally distributed. Use a significance level of 5%. A. State the alternative hypothesis: H: Ομ 65 B. State the mean of the sample: 75.91 (Round to two decimal places.) C. State the standard error the sample means: 3.440 (Round to four decimal places.) D. State the test statistic: t = (Round to four decimal places.) E. State the p-value: (Round to four decimal places.) F. Decision: O Do not reject the null hypothesis. O Reject the null hypothesis.
The data to the right are from independent simple random samples from three populations. Determine each of the following. Sample 1 Sample 2 Sample 3 3 3 3 a. SSTR b. MSTR c. SSE d. MSE e. F 4 2 1 8 a. SSTR= (Round to three decimal places as needed.) b. MSTR = (Round to three decimal places as needed.) c. SSE = (Round to three decimal places as needed.) d. MSE = (Round to three decimal places as needed.) e. F = (Round to three decimal places as needed.)

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS