ain why a two18 10 Reducing snoring. Snoring is an extremely common and burdensome con-dition that occurs when vibrating soft tissue obstructs the upper airway duringsleep. Researchers investigated the effectiveness of throat exercises designed tostrengthen that soft tissue. They recruited otherwise healthy adult patients whohad recently sought medical care for a primary complaint of snoring. At random,the subjects were divided into two treatment groups, with the treatments lastingfor three months. The control group was asked to perform deep breathing exer-cises daily and to sleep with a nasal dilator strip. The therapy group was instructedto perform a series of throat exercises three times a day. After these three months,subjects were recorded during sleep to assess their snoring frequency (in numberbreof snores per hour). Here are the findings:12..Control4 66 1823 46 55 75139 174198 218 223 294 420 527 540 63753 6987 101Treatment7710 18 27 51 52104 141 155 182 222 256 389 416 626Does the study provide significant evidence that throat exercises are better thannasal strips and breathing exercises in addressing snoring in this population?

Given data: Control Treatment 2 7 4 10 6 18 6 27 6 51 18 52 23 53 46 69 55 87…

Answered: why a t Reducing snoring. Snoring is an…

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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In a study conducted at Virginia Tech, the plasma ascorbic acid levels of pregnant women were compared for smokers versus nonsmokers. Thirty women in the last three months of pregnancy, free of major health disorders and ranging in age from 15 to 32 years, were selected for the study. Prior to the collection of 20 ml of blood, the participants were told to avoid breakfast, forgo their vitamin supplements, and avoid foods high in ascorbic acid content. From the blood samples, the accompanying plasma ascorbic acid values were determined, in milligrams per 100 milliliters. Is there sufficient evidence to conclude that there is a difference between plasma ascorbic acid levels of smokers and nonsmokers? Assume that the two sets of data came from normal populations with unequal variances. Use a P-value. Click the icon to view the plasma ascorbic acid values. Let sample 1 be the nonsmokers and let sample 2 be the smokers. State the null and alternative hypotheses. Hoi Hi-H2 = 0 (Type integers…
A sleep therapist wanted to see if a herbal tea advertised as a sleep aid really worked. He located 46 people with sleep problems and matched them into pairs on the basis of sleep problems and suggestibility. He then randomly assigned one person from each pair to drink the tea at bedtime (the experimental group), while the control group went to sleep as they normally did. He used an EEG to measure the minutes to sleep onset (the fewer the minutes to sleep onset, the better). He found MControl = 21.20, MExperimental = 19.70, sD = 5.47. Use an alpha of .05 and a two-tailed test to determine if the herbal teach was effective.
A study is run to evaluate the effectiveness of an exercise program in reducing systolic Ate blood pressure in patients with pre-hypertension. A total of 15 patients with pre- 12 hypertension enrolled in the study, and their systolic blood pressures are measured. Each patient then participated in an exercise training program where they learned proper techniques and execution of a series of exercises. Patients were instructed to do the exercise program three times per week for six weeks. After six weeks, systolic blood pressures were again measured, and data were recorded. This study sought to determine if there is a difference in systolic blood pressures after participating in the exercise program as compared to before. What is the most appropriate statistical test to be used to answer the research objectives? a. Spearman Correlation Coefficient b. Pearson Correlation Coefficient c. Wilcoxon Signed Ranks Test d. Mann-Whitney U Test
Can you please complete the chart and what are the t-criticals?
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?___________
r. Lyte wishes to study speed of Reaction Time to press a button in response to the onset of a lamp. The independent variable (IV) is the color of the light produced by the lamp (red, orange, yellow, green, or blue). Since only 10 participants are available, she elects to administer the IV within-subjects with all 10 participants being exposed to all five levels of the color variable. The order of the color of the light presentation is to be counterbalanced. Using concepts from the textbook, why would Dr. Lyte need to use counterbalancing in this scenario?
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. GAS score, x Sleep time, y(in hours) 1.7 8.6 6.6 6.0 3.8 8.6 5.9 8.0 0.9 7.3 9.1 5.6 5.0 6.1 6.9 6.2 8.9 6.4 3.9 6.7 2.9 7.0 2.0 8.3 8.1 5.3 7.9 7.2 3.5 7.5 y 5 6 7 8 9 10 x 2 4 6 8 10 0…
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…
Previous studies have shown that playing video games can increase visual perception abilities on tasks presented in the gaming zone of the screen (within 5 degrees of the center). A graduate student is interested in whether playing video games increases peripheral visual perception abilities or decreases attention to peripheral regions because of focus on the gaming zone. For her study, she selects a random sample of 64 adults. The subjects complete a difficult spatial perception task to determine baseline levels of their abilities. After playing an action video game (a first-person combat simulation) for 1 hour a day over 10 days, they complete the difficult perception task for a second time. Before playing the action video game, the mean score in their accuracy on the spatial task was 0.42. After playing the action video game, the mean score was -0.08. The mean of the differences between each person's pre- and postscores was 0.5, with a standard deviation of the differences equal to…
Dr. Mackintosh believes a new olfactory therapy would be more successful in promoting weight loss among obese patients. His patients are first weighed and then randomly assigned to olfactory therapy, dance therapy, or a control condition. At the end of the three weeks, the amount of weight lost is recorded. The results indicate no significant difference in the amount of weight lost between the three conditions. If true differences existed between the conditions, but they were not detected, what kind of error occurred?
A researcher is testing the effectiveness of an intervention for patients with type 2 diabetes and depression that focuses on increasing medication adherence compared with usual primary care. Patients randomized to the intervention group were more likely to achieve remission of depression compared with patients in the usual care group at 12 weeks (intervention 58.7% vs usual care 30.7%, p < .001). Based on this information and the information found in table 1, how would you interpret the study findings. Table 1. Baseline Characteristics of Study Population Characteristic Sociodemographic Age, mean (SD) y African American, n (%) White, n (%) Hispanic, n (%) Other, n (%) Years with diabetes, mean (SD) MMSE score, mean (SD) Usual Care (n=88) 57.1 (9.6) 48 (54.5) 36 (40.9) 3 (3.4) 1 (1.1) 12.0 (11.8) 28.2 (2.3) Intervention (n=92) 57.8 (9.4) 54 (58.7) 29 (31.5) 4 (4.3) 5 (5.4) 10.5 (1.2) 28.2 (2:3) P value .63 .30 .02 ,99 4 TRA 1
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

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