The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement" compared two different instruments for measuring a subject's ability to breathe out air.† (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen subjects participated in the study, and for each subject air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini- Wright Meter Wright Meter Subject Mini- Wright Meter Wright Meter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650       (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce different readings but there is a strong relationship between the readings, it would be possible to use a reading from the mini-Wright meter to predict the reading that the larger Wright meter would have given. Use the given data to find an equation to predict y = Wright meter reading using a reading from the mini-Wright meter. (Round your values to four decimal places.) ŷ =  +       x (b) What would you predict for the Wright meter reading of a subject whose mini-Wright meter reading was 582? (Round your answer to three decimal places.)   (c) What would you predict for the Wright meter reading of a subject whose mini-Wright meter reading was 345? (Round your answer to three decimal places.)

A paper described a study that examined whether stress accelerates aging at a cellular level. The accompanying data on a measure of perceived stress (x) and telomere length (y) were read from a scatterplot that appeared in the paper. Telomere length is a measure of cell longevity. Perceivedstress Telomerelength Perceivedstress Telomerelength 5 0.93 20 1.19 6 0.94 20 0.95 6 0.96 20 0.91 7 0.92 21 0.95 10 1.14 21 1.2 11 1.03 21 1.08 12 0.92 22 1.11 13 1.06 22 1.23 14 0.99 22 0.89 14 0.9 23 1.27 15 1.16 24 0.94 15 1.07 24 1.08 15 1.09 25 1.2 17 0.95 26 0.98 17 0.93 27 1.16 17 1.11 27 1.25 18 1.01 28 1 18 1.07 29 1.22 19 1.15 33 0.9   (a) Compute the equation of the least-squares line. (Round your answer to four decimal places.)y =        (b) What is the value of r2? (Round your answer to four decimal places.)r2 =

Read through this scenario and look at the data that was collected.  State the null and all possible research hypotheses.  Review the results below (I used SPSS) and answer the questions that follow. Scenario:  A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help.  The independent variables are gender, income, and the interaction of gender and income.  The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered.  Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA.  His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect.  The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…

Calculate one measure of effect size for this analysis and interpret the measure of effect size using specific IV and DV descriptors.

A paper described a study that examined whether stress accelerates aging at a cellular level. The accompanying data on a measure of perceived stress (x) and telomere length (y) were read from a scatterplot that appeared in the paper. Telomere length is a measure of cell longevity. Perceivedstress Telomerelength Perceivedstress Telomerelength 5 1.06 20 2.1 6 1.1 20 1.14 6 1.18 20 0.98 7 1.02 21 1.14 10 1.9 21 2.14 11 1.46 21 1.66 12 1.02 22 1.78 13 1.58 22 2.26 14 1.3 22 0.9 14 0.94 23 2.42 15 1.98 24 1.1 15 1.62 24 1.66 15 1.7 25 2.14 17 1.14 26 1.26 17 1.06 27 1.98 17 1.78 27 2.34 18 1.38 28 1.34 18 1.62 29 2.22 19 1.94 33 0.94   (a) Compute the equation of the least-squares line. (Round your answer to four decimal places.) =        (b) What is the value of r2? (Round your answer to four decimal places.)

Does talking while walking slow you down? Suppose a study considered mean cadence (steps per minute) for subjects using no walking device, a standard walker, and a rolling walker. In addition, the cadence was measured when the subjects had to perform dual tasks. The second task was to respond vocally to a signal or respond to an interview question while walking. Cadence was measured for subjects who were just walking (using no walking device, a standard walker, or a rolling walker), for subjects required to respond to a signal, and for subjects required to respond to an interview question while walking. How many cells are there in the data table?

Please answer (b) and (d)

A new drug for pain relief is being tested within a given palliative care population. The new drug is being compared to an already approved pain relief drug that is commonly used in providing palliative care to patients who experience chronic severe pain. Assume the patients are asked to rate the pain on a scale from 1 to 10, and the data presented below was obtained from a small study designed to compare the effectiveness of the two drugs. Set up and interpret the results of a Mann-Whitney U test with an alpha of .05.                         Pain Rating as Reported by Patients Old Drug         1          3          3          4          6          New Drug       1          2          3          3        7 A) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level because the calculated Uvalue of 10.5 is greater than the critical U value of 2. B) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level…

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. F-ratio: Low Moderate p-value: 2.2 3.1 0.6 2.6 0.5 0 High Moderate 1.5 2.1 3.3 2.3 2.1 4.6 Moderately Severe 2.7 4.7 4.7 4.6 3.7 3.3 From this table, conduct ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Severe 3.8 2.4 5.3 4.7 4.2 4 What is your final conclusion? Use a significance level of a = 0.02. O There is sufficient evidence that there exists a significant difference between treatments. O There is not enough evidence to determine a difference…

What is the answer to question 15?