If H1: μ1 – μ0  > 0 and α = 0.05, what effect size seems to interest me if I wish to achieve power =0.05 with a sample size of 44? The answer is: 0.5 Please provide a solution to this problem and explain the answer

Pi- P2 Z. = %3D SE Suppose a drug company is developing a vaccine, designed to protect against a particular virus. The company states that the vaccine will be equally effective for men and women. In its initial stage, a researcher selects a random sample of 200 men and 100 women independently. At the end of the study, 15 of the men and 10 of the women showed symptoms of the virus after taking the vaccine. Is there enough evidence to conclude that there is a significant difference in the proportions of men and women who show symptoms of the virus after taking the vaccine? (a) State the appropriate hypotheses to answer this question. (b) Compute the test-statistic. (c) (i) Calculate the p-value. (ii) Interpret the p-value you have found. (d) State your conclusion in context of the situation. Page 1 135

FACTORS FOR I AND R CONTROL CHARTS Observations in Sample, n dz A2 dz D3 D4 2 1.128 1.880 0.853 3.267 3 1.693 1.023 0.888 2.574 4 2.059 0.729 0.880 2.282 5. 2.326 0.577 0.864 2.114 6. 7. 2.534 0.483 0.848 2.004 2.704 0.419 0.833 0.076 1.924 8. 2.847 0.373 0.820 0.136 1.864 2.970 0.337 0.808 0.184 1.816 10 3.078 0.308 0.797 0.223 1.777 11 3.173 0.285 0.787 0.256 1.744 12 13 3.258 3.336 3.407 0.266 0.249 0.235 0.778 0.770 0.763 0.283 1.717 0.307 1.693 1.672 1.653 14 0.328 15 3.472 0.223 0.756 0.347 3.532 0.212 0.750 0.744 0.739 0.363 0.378 0.391 16 1.637 17 18 3.588 0.203 1.622 3.640 0.194 1.608 19 20 3.689 3.735 0.187 0.734 0.403 1.597 0.180 0.729 0.415 1.585 21 22 3.778 3.819 1.575 1.566 0.173 0.724 0.425 0.434 0.167 0.720 23 24 25 3.858 3.895 3.931 0.162 0.157 0.153 0.716 0.712 1.557 1.548 0.443 0.451 0.708 0.459 1.541

A repeated measures study with n=26 participants produces a mean difference of M D = 3 points, SS=500 for the difference scores, and t=2.50. Calculate Cohen's d and r square (r2) to measure the effect size for this study.

urgently please answer question 2 and 3 QUESTION 2   An experiment was conducted into car tyre wear by the department of Materials Science at Lowlands University, which it has been asked to carry out by a tyre company.   The tyre company hascreated a new compound which it hopes will make tyres last much longer. Various levels of the compound were mixed in with rubber to make tyres. Apart from that, all the tyres were identical, with 16mm of tread when new. One hundred motorists chosen at random were given new tyres, and split into ten groups. After each motorist had completed 10,000 miles on the new tyres, the level of tread remaining was measured. The data recording the experiment is set out in the table below.   You have been asked to use correlation analysis to see if there is a relationship between the percentage of the new compound and the wear on the tyres.   Identify appropriate x and y variables, stating clearly which variable is the “x” variable and which is the “y” variable…

You are interested in enhancing the performance of runners in a 10-kilometer event.  You randomly select 40 runners and randomly assign them to one of two diet groups.  During the 24 hours prior to the 10K run you feed the experimental group a special diet of 80% of their calories from carbohydrates and ad lib water intake.  During the 24 hours prior to the event you tell the control group to eat what they normally would eat and drink prior to a 10-K race.  Prior to running the event you measure the glycogen content of the quadriceps muscle in mg/kilogram of wet muscle of each subject.  You also measure the individual’s time to run the 10K event.  Thus, the purpose of your study is to determine the effect of a high carbohydrate diet on glycogen content of the muscle and 10k performance.  A secondary purpose is to examine the relationships between glycogen content of the quadriceps and 10K performance.  For each statistical hypothesis set indicate the type of question (Descriptive,…

A nursing school professor is interested in determining how her college students compare to the national average when it comes to the Final Practicum Exam. The exam has a µ = 100 and σ = 20. There has been no evidence to suggest whether those seniors score better or worse than the national average and she is curious as to how her class (N=17) compares.