5.21 A study was conducted of 90 adult male patients following a new treatment for congestiveheart failure. One of the variables measured on the patients was the increase in exercise capacity(in minutes) over a 4-week treatment period. The previous treatment regime had producedan average increase of u = 2 minutes. The researchers wanted to evaluate whether the newtreatment had increased the value of u in comparison to the previous treatment. The data yieldedy = 2.17 and s = 1.05.a. Using a = .05, what conclusions can you draw about the research hypothesis?b. What is the probability of making a Type II error if the actual value of u is 2.1? QUESTION 45.21a: Select the correct reason and conclusionHint: See L-11 pdf and lecture, page 7-8O 1. Zob = 1.54<1.645 = z0.05 --> fail to reject Ho. There is significant evidence to support the hypothesis that the mean has increased from 2.O II. Zob = 1.54<1.645 = z0.05 --> reject Ho. There is significant evidence to support the hypothesis that the mean has increased from 2.O III.zob = 1.74<1.645 = z0.05 --> reject Ho. There is significant evidence to support the hypothesis that the mean has increased from 2.= 1.54 1.645 = Z0.05 --> fail to reject Ho. There is not significant evidence to support the hypothesis that the mean has increased from 2O N.Zob

Answered: Image /qna-images/answer/747f96ef-52a4-4fb3-bc1a-abe3dd0766a6.jpg

Answered: 5.21 A study was conducted of 90 adult…

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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Use the given data to find the best predicted value of the response variable. Use a significance level of 0.05The regression equation relating attitude rating (x) and job performance rating (y) for the employees of a company is y=11.3+1.24x. Ten pairs of data were used to obtain the equation. The same data yield r=0.852 and y¯=80.14. What is the best predicted job performance rating for a person whose attitude rating is 72?
For healthy adults, the mean pH level is µ = 7.4, a new drug for arthritis has been developed. However, it is thought that this drug may change blood pH. A random sample of 33 patients with arthritis took the drug for three months. Blood tests showed that the sample mean from these 33 patients was a pH of 8.0 and it is known that o = 2.3. (Note, there is no unit for this type of data). Use a = 0.05 level of significance to test the claim that the drug has increased the mean pH level of the blood, If we use the P-Value approach, what would the P-Value (step 4) be? 0.0576 0.0500 1.5000 O 0.0668
Please help with each step and the relevant output for JASP . Thank you
A researcher is interested in hamster wheel-running activity during the summer versus the winter. She suspects that either the hamsters will run less during the winter to conserve energy or they will run more to keep warm. She records the activity of n = 25 hamsters during June, July, and August and compares their running-wheel revolutions per hour to the activity of the same hamsters during December, January, and February. The data are collected, and the results show an average difference score of Mp = 5.7 and a sum of squares of SS = 2,851.44. What is the value for degrees of freedom for this repeated-measures t test?
A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
A paper gives data on x = change in Body Mass Index (BMI, in kilograms/meter2) and y = change in a measure of depression for patients suffering from depression who participated in a pulmonary rehabilitation program. The table below contains a subset of the data given in the paper and are approximate values read from a scatterplot in the paper. BMI Change (kg/m²) Depression Score Change S = The accompanying computer output is from Minitab. Depression score change 15- 10- -0.5 S Fitted Line Plot Depression score change = 6.577 +5.440 BMI change 20- 5.30586 Coefficients T 0.0 0.5 -0.5 R-sq 25.96% - 1 Term Coef Constant 6.577 BMI change 5.440 % 0.5 BMI change 1.0 SE Coef 2.28 2.90 9 0 0.1 0.7 0.8 1 1.5 4 T-Value 2.88 1.87 Interpret this estimate. s is the typical amount by which the ---Select--- line. 4 5 Regression Equation Depression score change = 6.577 +5.440 BMI change P-Value 0.0164 0.0906 S 5.30586 25.96% R-Sq R-Sq (adj) 18.56% 8 (b) Give a point estimate of o. (Round your answer to…
For healthy adults, the mean pH level is µ = 7.4, a new drug for arthritis has been developed. However, it is thought that this drug may change blood pH. A random sample of 33 patients with arthritis took the drug for three months. Blood tests showed that the sample mean from these 33 patients was a pH of 8.0 and it is known that o = 2.3. (Note, there is no unit for this type of data). Use a = 0.05 level of significance to test the claim that the drug has increased the mean pH level of the blood. If we use the classical approach, what would the criterion (step 3) be? O -1.645 or less O -2.33 or less 1.645 or more O 2.33 or more
The local utility company surveys 12 randomly selected customers. For each survey participant, the company collects the following: annual electric bill (in dollars) and home size (in square feet). Output from a regression analysis appears below: Bill 13.45 + 4.39*Size Coefficients Estimate Std. Error (Intercept) 13.45 Size 4.39 0.54 0.2 We are 90% confident that the mean annual electric bill increases by between dollars and dollars for every additional square foot in home size. Round your answers to three decimal places and enter in increasing order.
i)Test individually whether the slope coefficients are significant at 10% significance level. ii)Test the overall significance of the estimated regression at 1% significance level.

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