The following table gives the distribution of wages in three branches of a project company. Daily wages No. of workers K£ BRANCH A BRANCH B BRANCH C 20 – 40 6 8 7 40 – 60 12 11 7 60 – 80 15 20 18 80 – 100 10 7 10 100 – 120 7 4 8 a. Point out which of the three branches pays the higher mean wage. Then compute the combined mean. b. Would your decision in (a) above change if the modal wage was used instead? c. Suppose you were approached by a new employee to recommend which of the three branches should she choose to work? Based on the coefficient of variation, give her your recommendatio

The following table gives the distribution of wages in three branches of a project company. Daily wages No. of workers K£ BRANCH A BRANCH B BRANCH C 20 – 40 6 8 7 40 – 60 12 11 7 60 – 80 15 20 18 80 – 100 10 7 10 100 – 120 7 4 8 a. Point out which of the three branches pays the higher mean wage. Then compute the combined mean. b. Would your decision in (a) above change if the modal wage was used instead? c. Suppose you were approached by a new employee to recommend which of the three branches should she choose to work? Based on the coefficient of variation, give her your recommendatio

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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a 24. Calculate coefficient of concurrent deviation from the following data : Price 368 Price Imports Imports 384 26 22 21 384 9b er i t ng 24 385 es yhslimie 29 of boTs (aunim) ng 28 ooisv 27 361 20 S JU Nse 400 ntessia el ul22 bidi erb orber385 347 eir)
A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Years of Annual Sales Salesperson Experience ($1000s) 1 1 80 3 82 3 4 96 4 5 95 5 93 6. 7 93 7 8 98 8 10 106 11 121 10 13 125 The data on y = annual sales ($1000s) for new customer accounts and x = number of years of experience for a sample of 10 salespersons provided the estimated regression equation ŷ = 74.45 + 3.65x. For these data a = 6.7, ) (x; - x)² = 130.10, and s = 5.3015. %3D a. Develop the 95% confidence interval for the mean annual sales for all salespersons with twelve years of experience. ) (to 2 decimals) b. The company is considering hiring Tom Smart, a salesperson with twelve years of experience. Develop a 95% prediction interval of annual sales for Tom Smart. ) (to 2 decimals) c. Discuss the differences in your answers to parts (a) and (b). As expected, the prediction interval is much - Select your answer - V than…
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llustration 9.4. The first and third columns of Table 9.3 give the frequency distribution of the average monthly earnings of male workers. Calculate the mean earnings. TABLE 9.3. DISTRIBUTION OF MALE WORKERS BY AVERAGE MONIHLY EXPENSES (Computation of Arithmetic Mean . . . Long Method) Monthly earnings Mid-point No. of workers Rs Rs Rs m fm 3,600 5,320 6,800 9,630 20,500 23,595 34,080 42,250 27.5 - 32.5 30 120 32.5–37.5 35 152 37.5–42.5 40 170 42.5 47.5 45 214 47.5 – 52.5 50 410 52.5 57.5 55 429 57.5 62.5 60 568. 62.5-67.5 65 650 55,650 68,625 59,600 45,050 23,310 14,440 10,700 5,250 2,750 67.5 -72.5 70 795 72.5 -77.5 77.5-82.5 75 915 80 745 82.5-87.5 85 530 87.5-92.5 90 259 92.5-97.5 95 152 97.5 - 102.5 100 107 102.5--107.5 105 SO 107.5 -112.5 110 25 Σ 6,291 4, 31,1 50
Only 2.4
2) Kate works as a manager at a call center. She wants to observe how waiting times of customers to be assigned with a representative show variation so that she can schedule the working hours of employees accordingly. Her claim is that variance between waiting times is no more than 60 minutes. She keeps track of waiting times for 22 customers which are given below: 35 29 12 35 16 28 37 13. 14 38 15 39 23 26 29 16 19 23 15 25 17 28 Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an interval for such Type 1 error probability.
A 7. The analyst in the Dorben Company made 10 independent time studies in the hand paint- spraying section of the finishing department. The product line under study revealed a direct relation between spraying time and product surface area. The following data were collected. Study No. 1 2 3 4 5 6 8 9 10 Surface Area 170 12 150 41 130 50 70 105 95 (sq. inches) Standard Time (hours) 0.32 0.11 0.31 0.14 0.27 0.18 7 120 0.24 0.23 0.25 (7a) Compute the slope and intercept constant using regression line equations. (7b) What is the correlation coefficient? (7c) How much spray time would you allow for a new part with a surface area of 250 sq. inches? 0.22
the following are the daily salaries of a group of employess daily salary number 300-399 15 400-499 21 500-599 45 600-699 39 700-799 24 800-899 6 total 150 a. Find the mean,median,and mode b. find D3, D6, P60, Q1 and P80
The data below shows time taken (in minutes) for 50 students to travel to their school from home.Time (minutes)23 16 16 17 1218 17 32 11 2711 16 22 18 2021 15 21 17 3432 14 18 21 2922 12 30 27 1627 20 21 14 2817 17 17 20 2613 20 27 26 1718 21 21 36 29 2. Draw a histogram based on your frequency distribution table.3. Give your comment about the distribution of the data based on your histogram.
Aleem tossed a coin 50 times and recorded the results in a frequency distribution table. Outcome Frequency Heads 22 Tails 28 What is the experimental probability of tossing a head?