3. You are given the following test data from an 'Introduction to The Matrix' class and askedto present an analysis of central tendency, dispersion and shape of the test data to SeniorMatrix 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 SeniorManagement; and explain (100 to 200 words) the rationale behind your chosen data actionsand metrics?

Statistics is the branch of mathematics that deals with the collection, tabulation, analysis, and…

Answered: You are given the following test data…

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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4. From 2007 to 2016, a different intervention each year has been given to promote community organization membership. Another indicator of the dynamics of WEEL is membership. The household survey respondents were also asked of the year that they became a member of any organization. Is the decision to become a member of the organization been equally likely across interventions? In case you want to replicate the iven results from R Commander, the collected data can be accessed in the householdsurvey worksheet. Write a brief narrative about the analysis (see R Commander Output #13) using these guide questions: a. What is the set of hypotheses to answer the objectives of the problem? b. What is the appropriate test procedure to use? c. Is there evidence that the membership in the organization is not equally likely across interventions (years)? d. Using the estimated proportions, which year recorded the greatest percentage of membership?
Nana AB. supplies a range of computer hardware and software to 2000 schools within a large municipal region of Spain. When Nana AB. won the contract the issue of customer service was considered to be central to the company being successful at the final bidding stage. The company has now requested that its customer service director creates a series of graphical representations of the data to illustrate customer satisfaction with the service. The following data has been collected during the last six months and measures the time to respond to the received complaint (days).52434661563832 87783496745423 5632861281325253 3445213142125321 437662127336712 7889261074782332 2621567891851512 1556452145262134 2812672324432565 238872178547679 The customer service director has analysed this data to create a grouped frequency table and plotted the histogram. From this he made a series of observations regarding the time to respond to customer complaints. He now wishes to extend the analysis to use…
2. A researcher conducts a study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control n = 10 M = 12 SS = 120.5 Exercise n = 15 M = 15.5 SS = 190.0 Conduct the four steps for hypothesis testing and label a. Use a two-tailed test with a = .05. each step: Step1, Step 2, Step 3, and Step 4. b. Calculate Cohen's d. c. Are the data sufficient to conclude that thier is a significant difference? Write your answer in the form of a sentence.
2. The following exercises are based on a study by Scholer et el. (1997). This was a nested case-control study obtained from a cohort of children age 0 through 4 years in Tennessee between January 1, 1991 and December 31, 1995. Case patients consist of all cohort members who suffered injury deaths. Control patients were frequency matched to case patients by birth year. The variables are; Pnclate Byear injflag byear 986 987 988 989 990 991 993 994 995 Crude M-H combined Illegit OR = 1.366071 1.171363 3.292431 2.18427 2.561502 2.484556 2.431203 2.900458 1.894737 2.256993 2.279816 Test of homogeneity (M-H) year of birth 1: a. The results below were obtained using the Mantel-Haenszel estimate of birth- year adjusted odds ratio for injury death among children with unmarried mothers compared with those with married mothers. Note: the reference group is married mothers. cc injflag illegit, by (byear) { if subject died of injuries 0: otherwise, 1: if no prenatal care was received in the first…
8) The following results are from data that were collected from the various high schools around the county. The dependent variable is % OF STUDENTS GOING TO COLLEGE, and the independent variables are: AVERAGE CLASS SIZE, COMBINED SAT SCORES, SPENDING PER STUDENT, AVERAGE TEACHER SALARY, AND % TAKING THE SAT Since the 3 variables AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are each not significant at the 10% level of significance individually, in order to test to see if as a group they are significant the 3 variables are excluded and another regression is run. The results are as follows: a) At the 10% level of significance, test whether as a group AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are significant. Be sure to state the null and alternative hypotheses for this hypothesis test.
The statistics department at a large Midwestern university is interested in how students feel about their introductory statistics course. They decide to randomly select 60 introductory stats students to give a survey, 10 from both the freshman and sophomore class ranks and 20 from both the junior and senior class ranks. They discover that of the 60 total respondents, 73% have a positive attitude toward intro stats. The proportion of the 60 introductory statistics students surveyed by the statistics department that did have positive attitudes toward intro stats (73%) is called a O a. population parameter O b. residual O c. correlation coefficient O d. sample statistic 3 Stat100 Practice..pdf 7 Writing Prompt 3.docx E Online Syllabus J...pdf E Bios357Schedul.pdf SH OCT1 étv 20 F3 トI A FI F9 F10 F5 F7 F8 F2 F4 %23 2$ & * 2 4. 5 6 7 8 9 Q W E T Y S F G H K しの
A healthcare provider monitors the number of CAT scans perfomed each month in each of its clinics. The most recent year of data for a particular clinics follows (the reported variable is the number of CAT scans each month expressed as the number of CAT scans per thousand members of the health plan): 2.31, 2.09, 2.36, 1.95, 1.98, 2.25, 2.16, 2.07, 1.88, 1.94, 1.97, 2.02. Find a two-sided 95% confidence interval for the standard deviation. What should you do to address any reservations about this confidence interval? Round your answers to two decimal places (e.g. 98.76).
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…

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