You are given the following test data from an 'Introduction to The Matrix' class and asked to present an analysis of central tendency, dispersion and shape of the test data to Senior Matrix instructors: The Test Data is as follows: (17, 18, 25, 29, 33, 40, 45, 50, 58, 59, 65, 65, 65, 70, 70, 72, 75, 75, 76, 78, 78, 78, 79, 80, 80, 82, 82, 85, 86, 87, 87, 88, 88, 88, 90, 90, 90, 90, 93, 93) What type of Distribution best describes the above data? What statistical metrics (provide metric values) would you choose to present to Senior Management; and explain (100 to 200 words) the rationale behind your chosen data actions and metrics?

A test is being designed to compare the wearing quality of two brands of tires, say brand A and brand B. Six automobiles will be selected and equipped with the new tires from both brands and driven under normal conditions for 1 month. A measurement will be taken to determine how much wear took place on a scale from 0 to 200. Below is a table of the paired data collected from the 6 cars in the test. [BrandA BrandB] 125 64 64 65 94 103 38 37 90 102 106 115 Conduct a hypothesis test to determine whether the mean of the difference population is 0 at a significance level of a =. State your conclusion.

Hospital administrators at a local hospital are interested in quality of care.  As such, they ask a random sample of patients that have used the hospital's health care services to fill out a questionnaire.  The questionnaire has questions about the patient's worry (negative, positive), the hospital staff's communication skills (low, medium, high), and satisfaction with medical care.  The administrators are interested in how patient's worry and their assessment of the hospital staff's communication impact their satisfaction with medical care.  The survey data are below.  What can the administrators conclude with an α of 0.01?   Communication Worry low med high negative 76868 54545 67495 positive 86677 78687 78666   A) Input the appropriate value(s) to make a decision about H0.Worry: p-value =  Communication: p-value = Interaction: p-value =  B) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).Worry:  η2 =  Communication:  η2 =…

You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC

Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…

You are given the following data, where X1X1 (final percentage in math class) and X2X2 (number of absences) are used to predict YY (standardized math test score in fifth grade):  YY X1X1 X2X2 375 88 3 480 98 0 310 61 5 450 89 1 345 70 3 410 72 1 465 92 2 350 70 3 370 75 4 390 80 1 420 80 2 350 78 3 415 95 2 Determine the following multiple regression values.Report intercept and slopes for regression equation accurate to 3 decimal places:     Intercept:   a=      Partial slope X1X1:   b1=      Partial slope X2X2:   b2=  Report sum of squares accurate to 3 decimal places:      SSreg=      SSTotal= Test the significance of the overall regression model (report F-ratio accurate to 3 decimal places and P-value accurate to 4 decimal places):     F-ratio =      P-value = Report the variance of the residuals accurate to 3 decimal places:     MSres= Report the results for the hypothesis test for the significance of the partial slope for number of absences…