38. NADA Sham Relaxation 8 8 8 50 8 State Anxiety score State Anxiety score State Anxiety score 40 ... 8 Before Session After Session Before Session After Session Belore Session After Session Cansinn Timing Cascion Timing Cassion Timing - Based on the boxplots, what conclusion can you make about the efficacy of acupuncture on anxiety reduced as compared to the other two groups? a. Acupuncture is clearly better with regards to lowering anxiety. b. Acupuncture is clearly worse with regards to lowering anxiety. V c. There does not appear to any advantage or disadvantages of acupuncture for treating anxiety in this population , compared to sham acupuncture or Relaxation.3. 1 point Research was conducted to characterize patient score satisfaction distributions, and compare these across medical specialties. The results are summarized In a 2018 article published In Journal of Internet Medical Research. As part of the article, the authors Include the following figure which Includes histograms of the average overall patient satisfaction distributions across providers In three different specialty area groupings: medical, surgical and allied health professions. Overall patient satisfaction scores were measured on a 5 point ordinal scale with potential responses ranging In values from 1 (very unsatisfied to 5 (very satisfied), and were averaged at the provider level. The data for the study was obtained from the Healthgrades consumer ratings website collected over multiple years, up through March 31, 2017. MEDICAL ALLIED HEALTH SURGICAL 12000- 8000 Number of Physicians Rated 4000 3 5 1 2 3 4 5 1 2 3 Overall Patient Satisfaction MEDICAL ALLIED HEALTH SURGICAL The mean satisfaction score for the sample of 128,678 medical professionals Is 3.3, the sample median is 4.0, and the sample standard deviation Is 17. Suppose all medical providers with average patient satisfaction scores of 4.3 or greater had their scores replaced with the value 5. How would the updated sample median (after this change is made) compare in value to the original sample median of 4.0? a. The updated sample median will be greater than 4.0.. D. The updated sample median will be less than 4.0. 10 C. There Is no way to predict how the updated sample median value will compare to 4.0. i. The updated sample median alue will be exactly equal to 4.04. I point The distribution of health satisfaction scores for allied health professionals Is based on a sample of n =11,724 providers. For our purposes, consider this a random sample from the population of all allied health professionals In the United States covering the same time perlod as these data. Suppose another random sample of 5,000 providers Is taken from the same population, and added to this sample of 11,724, for a total sample of 16,724 providers. How will the sample mean of these 16,724 observations compare In value to the sample mean of the original sample of n=11,724? a. It will be larger In value than the sample mean of the original sample of n=11,724 b. It will be smaller In value than the sample mean of the original sample of n=11,724 c. It will be exactly equal to the value of the sample mean of the original sample of n=11,724 d. While the two sample mean values should be "similar", there is no way to predict exactly how the two values will compare 5. 1 point The distribution of health satisfaction scores for allied health professionals is based on asample of n =11,724 providers. For our purposes, consider this a random sample from the population of all allied health professionals In the United States covering the same time perlod as these data. Suppose another random sample of 5,000 providers Is taken from the same population, and added to this sample of 11,724, for a total sample of 16,724 providers. How will the sample median of these 16,724 observations compare In value to the sample median of the original sample of n=11,724? a. It will be larger in value than the sample median of the original sample of n=11,7241 b. It will be smaller In value than the sample median of the original sample of n=11,724 c. It will be exactly equal to the value of the sample median of the original sample of n 11,724 v d. While the two sample median values should be "similar". there is no way to predict exactly how the two values will compare 6. 1 point The distribution of health satisfaction scores for allied health professionals is based on a sample of n =11724 providers. For our purposes, consider this a random sample from the population of all allied health professionals In the United States covering the same time perlod as these data. Suppose another random sample of 5,000 providers Is taken from the same population, and added to this sample of 11,724, for a total sample of 16,724 providers. How will the sample standard deviation of these 16,724 observations compare In value to the sample standard deviation of the original sample of n=11,724? a. It will be larger in value than the sample standard deviation of the original sample of n=11,7241 t V b. It will be smaller in value than the sample standard deviation of the original sample of n=11,724 c. It will be exactly equal to the value of the sample standard deviation of the original sample of n=11,724 d. While the two sample standard deviation values should be "similar", there is no way to predict exactly how the two values will compare