c) Consider the following table:i12345678910R₁ 0.7329 0.9755 0.6761 0.0917 0.1584 0.2858 0.8564 0.3628 0.43370.5822Assuming an M/M/1 setup, a service rate of 18 customers every 5 minutes, and a traffic intensity of 0.95 for a pdfcharacterized by the exponential distribution, compute the correpsonding variates.

Given table,123456789100.73290.97550.67610.09170.15840.28580.85640.36280.43370.5822Assuming M/M/1…

Answered: c) Consider the following table: i 1 2…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Establish a relationship between CDF and PDF.
Suppose that the time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with A = 0.0003. • What proportion of the fans will last at most 10,000 hours? • What proportion of the fans will last at least 7000 hours? a. 0.0498, 0.8775 Ob. NONE Oc 0.0498, 0.1225 Od.0.0502, 0.1225
A company’s raw data sample of weekly salaries (in dollars) is shown below. 210 370 530 370 740 530 370 530 210 370 1140 210 A frequency distribution of this data set, based on a single-value grouping, is presented below with a third column showing the xf-values—the class midpoint (which here is the same as the class) times the class frequency. Salary(x) Frequency(f) Salary*Frequency(xf) 210 3 630 370 4 1480 530 3 1590 740 1 740 1140 1 1140 (i). Use the raw data to obtain the sample standard deviation of the ungrouped data. Round your answer to two decimal places. (ii) Use the grouped-data formula to obtain the sample standard deviation of the grouped data in the frequency distribution. Round your answer to two decimal places (iii).Compare your answers in parts (i) and (ii).
%5D%2C"action"%3A"open"%2C"userld*%3A 1058667002127212725. O 175% Turn In 32. 10 13
You were asked to help with an analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers’ AGE at birth (continuous variable in years), mothers’ current HOUSING status (“own” and “not-own”; “own” is the reference group), and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”; “Manhattan” is the reference group). Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status and BOROUGH. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE…
Table 3 shows the distribution for the number of medical leaves (in days) taken within a certain period by 65 employees of accompany. Number of medical leaves Number of employees (days) 1-3 4 4 -6 7-9 8 10 - 12 12 13 - 15 18 16 - 18 11 19 - 21 Table 3: The number of medical leaves (in days) (a) Draw a cummulative frequency curve to illustrate the data. (Note : Use graph sheet) (b) Using the ogive in question 4(a), estimate the median and third quartile value. (c) Calculate the mean, and standard deviation from the data given in Table 3.
Q1/ A// Determine the relative cumulative frequency for the data below. Class 0-10 10-20 20-30 30-40 40-50 50-60 60-70 interval Frequency | 95 B// Draw the polygon curve for the data above. 30 60 40 20 10
А B Overtime earnings 1 (OMR) 13 No. of employees (f) 2 0s 10 3 10 s 20 11 4 20 s 30 5 30 s 40 25 18 6 40 < 50 7 50 s 60 2 8 8 60 s 70 9 70 < 80 10 80s 100 8 100 11 sum From the table above B. Construct a less than cumulative frequency curve for the data above. c. Use the cumulative frequency graph to estimate the median.
(On inequal time interval) Obtain the straightline trend equation for the following data by the method of least square. Year : 1989 1991 1992 1993 1994 1995 1998 Sales (in '000 Rs.) : 140 144 160 152 168 176 180 Also, estimate the sales for 1996
The following are the monthly figures of advertising expenditure and sales of a firm. It is generally found that advertising expenditure has its impact on sales after 2 months. Allowing for this time lag, calculate coefficient of correlation. Advertising Expenditure ('000) Sales Months Advertising Expenditure ('000) Months Sales 1,200 July Aug. Jan. 50 140 2,400 Feb. 60 1,500 160 2,600 March 70 1,600 Sep. 170 2,800 90 2,000 Oct. 190 2,900 April May 120 2,200 Nov. 200 3,100 June 150 2,500 Dec. 250 3,900
Create a scatter diagram for this correlation with time on social networking sites along the x axis

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