6./Statisticians must always view statistical significance through the lenses of clinical signifi...
6./Statisticians must always view statistical significance through the lenses of clinical significance. r example, assume a physical therapy group wanted to investigate the effectiveness of a new intervention for the treatment of adhesive capsulitis, aka frozen shoulder. Prior to data col- lection, the investigators determined that a 10% improveïnent in the mean range of motion (ROM) among the population of patients effected by frozen shoulder would support recom- mendation of a new intervention in place of an old intervention. Using the summary statistics below, complete an appropriate two sample test and determine whether these data suggest the new intervention provides statistically improved outcomes. Explain whether statistical significance corresponds to clinical significance in this scenario. And lastly, provide one or more additional examples of the disparity between statistical and clinical significance in public health and medical research. old intervention: no = 15, 20 = 84.57%, so = 5.65% New intervention : ni 15,21 91.11%, s,-4.93%
6./Statisticians must always view statistical significance through the lenses of clinical significance. r example, assume a physical therapy group wanted to investigate the effectiveness of a new intervention for the treatment of adhesive capsulitis, aka frozen shoulder. Prior to data col- lection, the investigators determined that a 10% improveïnent in the mean range of motion (ROM) among the population of patients effected by frozen shoulder would support recom- mendation of a new intervention in place of an old intervention. Using the summary statistics below, complete an appropriate two sample test and determine whether these data suggest the new intervention provides statistically improved outcomes. Explain whether statistical significance corresponds to clinical significance in this scenario. And lastly, provide one or more additional examples of the disparity between statistical and clinical significance in public health and medical research. old intervention: no = 15, 20 = 84.57%, so = 5.65% New intervention : ni 15,21 91.11%, s,-4.93%