Gender111110111001111100111001001011COO0000011Length ofservice (years)7.033.462.051.784.413.293.050.470.613.132.942.154.013.522.482.143.261.081.771.942.893.012.511.842.892.191.422.511.391.060.980.631.292.122.282.042.142.122.162.051.692.091.762.152.120.371.951.011.261.031.641.751.711.281.491.321.461.871.151.141.050.951.220.810.860.990.770.310.360.58 Call centers typically have high turnover. The director of human resources for a large bank has compiled data on about 70 former employees at one of the bank's call centers. The accompanying table shows this data. In writing an article about call center working conditions, areporter has claimed that the average tenure is more than two years. Formulate and test a hypothesis using these data to determine if this claim can be disputed. Use a level of significance of 0.05.Click the icon to view the call center data.Is there sufficient evidence at the 0.05 level of significance that the average tenure is no more than two years?Determine the null hypothesis, Ho, and the alternative hypothesis, H₁HoH₂(Type whole numbers.)Compute the test statistic(Round to two decimal places as needed.)Find the p-value for the test.(Round to three decimal places as needed.)State the conclusion.The p-value isthe chosen value of a, sothe null hypothesis. There isevidence to conclude that mean is greater than 2

The question is about hypothesis testing.The data on the length of service (in years) of 70 former…

Answered: Gender 0 1 1 0 1 1 0 1 1 1 0 0 1 1 0 1…

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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for
ID gender dist. from Hunter(miles) commute time (min) Borough 1 M 3.2 20 Manhattan 2 M 7.5 42 Other 3 M 8.8 84 Other 4 M 2.5 12 Manhattan 5 M 5.4 32 Other 6 M 16 63 Other 7 F 4.4 21 Manhattan 8 F 17.2 95 Other 9 F 8.4 72 Other 10 F 4.5 25 Manhattan 11 F 2.7 24 Manhattan 12 F 20.7 80 Other 13 F 14 91 Other 14 F 5.4 24 Manhattan 15 F 5.5 37 Manhattan 16 F 3.4 25 Manhattan Find the z-scores for each student's commute time.
6. Compute Cumulative frequencies and cumulative percentages on the information below Cumulative Frequencies and Cumulative percentages Cumulative f Cf Percentages Percentage 67-71 2 62-66 1 57-61 2 52-56 4 47-51 6 42-46 7 37-41 8 32-36 5 27-31 2 22-26 0 17-21 2 12-16 1 ______ N= 40 ______________________
Day Revenue Occupied 1 1452 32 2 1361 20 3 1426 21 4 1470 25 5 1456 26 6 1430 23 7 1354 20 8 1442 39 9 1394 15 10 1459 50 11 1399 41 12 1458 35 13 1537 41 14 1425 31 15 1445 51 16 1439 62 17 1348 45 18 1450 41 19 1431 62 20 1446 47 21 1485 43 22 1405 38 23 1461 36 24 1490 60 25 1426 65
Hospital Length of Stay (months) for 16 Patients 1 10.5 10.0 2 4.5 2.0 3 7.5 4.0 4 12.0 11.0 5 7.5 11.0 6 9.0 11.0 7 6.0 6.5 8 5.0 5.0 9 6.0 8.0 10 12.0 16.0 11 7.0 6.5 12 4.5 6.0 13 3.5 3.5 14 6.0 10.0 15 7.5 7.0 16 3.0 5.5 Obtain the regression equation Calculate R2
height weight female eyes age uhat yhat uuu 74 195 0 1 53 -7.384037 202.384 3.74359 63 120 1 4 33 3.288961 116.711 -1.909091 65 120 1 4 22 -12.28795 132.2879 .0909091 75 210 0 1 44 -.1724911 210.1725 4.74359 66 130 1 3 29 -10.0764 140.0764 1.090909 62 150 1 1 37 41.07742 108.9226 -2.909091 69 230 1 1 34 66.55824 163.4418 4.090909 73 180 0 5 27 -14.59558 194.5956 2.74359 65 170 0 3 47 37.71205 132.2879 -5.25641 72 195 0 2 33 8.192872 186.8071 1.74359 68 120 1 1 25 -35.65331 155.6533 3.090909 70 180 0 5 32 8.769781 171.2302 -.2564103 66 164 0 4 25 23.9236 140.0764 -4.25641 70 190 0 4 24 18.76978 171.2302 -.2564103 63 120 1 3 22 3.288961 116.711 -1.909091 79 225 0 1 21 -16.32631 241.3263 8.743589 71 212 0 1 48 32.98133 179.0187 .7435898 69…
9a In Africa in 2011, the number of deaths of a female from cardiovascular disease for different age groups are in the table below ("Global health observatory," 2013). In addition, the proportion of deaths of females from all causes for the same age groups are also in table below. Table: Deaths of Females for Different Age Groups Age 5-14 15-29 30-49 50-69 Total Cardiovascular Frequency 8 16 56 433 513 All Cause Proportion 0.10 0.12 0.26 0.52 Do the data show that the death from cardiovascular disease are in the same proportion as all deaths for the different age groups? Test at the 5% level. (i) Which of the following statements correctly defines the null hypothesis HO? A. Deaths from cardiovascular disease in females are not in the same proportion as all deaths for the different age groups B. Deaths from cardiovascular disease in females are in the same proportion as all deaths for the different age groups C. neither of…
A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The results are displayed in the accompanying table, and the regression equation and other values are provided. Use this information to complete parts (a) through (c) below. Y₁ = -12,195.7+2.4032X; n n n Σ Υ =4,230,133, Σ γ = 520,438,426,235, Σ XY = 234,279,400,152 i=1 i=1 i=1 Click the icon to view the data table. a. Determine the coefficient of determination, r², and interpret its meaning. (Round to four decimal places as needed.) What is the meaning of the coefficient of determination?
An automotive part must be machined to close tolerances to be acceptable to customers. Production specifications call for a maximum variance in the lengths of the parts of 0.0004. A quality control sample produced the data in the Microsoft Excel Online file below. Using a = 0.05, test to see whether the population variance specification is being violated. X Open spreadsheet 1. Formulate the null and alternative hypotheses for this application. Ho: 0² Ha: 0² 2. Test statistic = 3. The p-value is 4. Conclusion: 5. Test results: Check My Work ↑ î (to 2 decimals) Reset Problem ŵ ↑
COUNTRY region tfr Contraceptors Botswana Africa 4.8 35 Burundi Africa 6.5 9 Cameroon Africa 5.9 16 Ghana Africa 6.1 13 Kenya Africa 6.5 27 Liberia Africa 6.4 6 Mali Africa 6.8 5 Mauitius Africa 2.2 75 Niger Africa 7.3 4 Nigeria Africa 5.7 6 Senegal Africa 6.4 12 Sudan Africa 4.8 9 Swaziland Africa 5 21 Tanzania Africa 6.1 10 Togo Africa 6.1 12 Uganda Africa 7.2 5 Zambia Africa 6.3 15 Zimbabwe Africa 5.3 45 Bangladesh Asia 5.5 40 China Asia 2.5 72 India Asia 4.3 45 Indonesia Asia 3 50 Korea.Rep.of Asia 1.7 77 Pakistan Asia 5.2 12 Philippines Asia 4.3 34 Sri.Lanka Asia 2.7 62 Thailand Asia 2.3 68 Vietnam Asia 3.9 53 Belize Latin.Amer 4.5 47 Bolivia Latin.Amer 4.9 32 Brazil…
Selected statistics for a hypothetical population, July 1 to June 30 Total 1-year population Population of women 15-49 years of age Population of 55 years of age and older Number of live births Number of fetal deaths Number of maternal deaths Total deaths Number of infant deaths 0-1 year of age Number of deaths under 28 days old Number of deaths between 28 days and 1 year Number of deaths of persons 55 years and older 160,000 40,000 44,000 3,300 66 5 1,444 88 4 8 848 You must show step-by-step calculations to earn maximum credit. Calculate the following mortality rates: a. Crude mortality rate b. Maternal mortality rate c. Infant mortality rate d. Neonatal mortality rate e. Fetal mortality rate f. Fertility rate g. Age-specific mortality rate for persons ages 55 years or older

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