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3. A hospital administrator wished to study the relation between patient satisfaction (Y) and pat...
The accompanying computer excel output (please see attachment on Blackboard) provides details of data and analysis on the topic of “patient satisfaction”. A hospital administrator wished to study the relation between patient satisfaction (Y) and patients’ age (X1, in years) , severity of illness (X2), and anxiety level (X3). The output includes a listing of all 46 observations; descriptive statistics for each variable; and, the results of a regression analysis that uses patient satisfaction as the dependent variable, and patient’s...
A hospital administration wished to study the relation between patient satisfaction (Y) and patient’s age (X1), severity of illness (X2) and anxiety level. The administration randomly selected 15 patients and the results of the study are shown below. The regression equation isy = 184 - 0.976 x1 - 1.14 x2 - 12.3 x3 Predictor Coef SE Coef T Constant 184.02 31.70 5.81 x1 -0.9763 0.4500 -2.17 x2 -1.1361 0.9786 -1.16 x3 -12.34 14.30 -0.86 S = 11.0529 R-Sq = 70.2% ...
NUMBER OF PEOPLE 10.2 10.0 10.1 8.5 10.2 8.2 8 Source: United States Census. 11. In the Sanitary District of Chicago, operating engineers are hired on of a competitive civil-service examination. In 1966, there were 223 appl for 15 jobs. The exam was held on March 12; the test scores are s arranged in increasing order. The height of each bar in the histogram next page) shows the number of people with the correspondin examiners were charged with rigging the...
The table shows distance of ball throw (y), grip (x1), stature (x2) and weight (x3) about fifteen boys Derive a multiple regression formula and its multiple correlation coefficient about objective variable that is distance of ball throw (y) Furthermore, derive distance of 10 ball y [m] about a x1-45[kg], x2=158[cm] and x3=60[kg] by using the multiple regression formula Stature Weight| Grip boll throw y[m] x1[kg]x2cm] x3[kg] Distance of 34 22 28 146 36 57 46 169 24 39 25 160...
The table shows distance of ball throw (y), grip (x1), stature (x2) and weight (x3) about fifteen boys Derive a multiple regression formula and its multiple correlation coefficient about objective variable that is distance of ball throw (y) Furthermore, derive distance of 10 ball y [m] about a x1-45[kg], x2=158[cm] and x3=60[kg] by using the multiple regression formula Stature Weight| Grip boll throw y[m] x1[kg]x2cm] x3[kg] Distance of 34 22 28 146 36 57 46 169 24 39 25 160...
estimate the average age at which multiple sclerosis patients were diagnosed with the condition for the first time in a given city. How big should the sample be? Define your procedures for this estimate (if necessary, set your own values of unknown parameters, based on statistical theory). In Table 1 you will find all ages of this patient population. 54 58 56 48 62 59 55 56 60 52 53 61 56 56 53 37 71 62 39 61 54...
Jacob Lee is a frequent traveler between Los Angeles and San Diego. For the past month, he wrote down the flight times in minutes on three different airlines. The results are: Goust Jet Red Cloudtran 51 50 52 51 53 55 52 52 60 42 62 64 51 53 61 57 49 49 47 50 49 47 49 50 58 60 54 54 51 49 49 48 49 48 50 1. Null hypothesis: 2. Alternate hypothesis: 3. State the decision rule...
Problem 4: Variables that may affect Grades The data set contains a random sample of STAT 250 Final Exam Scores out of 80 points. For each individual sampled, the time (in hours per week) that the student spent participating in a GMU club or sport and working for pay outside of GMU was recorded. Values of 0 indicate the students either does not participate in a club or sport or does not work a job for pay. The goal of...
Solve all parts and show working: (i) : Use a 5% significance level to test the claim that the unsuccessful applicants are from a population with a greater mean age than the mean age of successful applicants. Based on the result, does there appear to be discrimination based on age? What did you use to get the answer? (ii): Is it a parametric or non-parametric test? If it is a parametric test what is distribution of test statistic The Revenue...
West Battery Corp. has recently been receiving complaints from retailers that its 9-volt batteries are not lasting as long as other name brands. James West, head of the TQM program at West's Austin plant, believes there is no problem because his batteries have had an average life of 5050 hours, about 10% longer than competitors' models. To raise the lifetime above this level would require a new level of technology not available to West. Nevertheless, he is concerned enough...