2. In a quality control study in a knitting mill, a manager examines 10 randomlychosen sweaters a day for six weeks. The number of defects he finds in eachgroup of 10 summarized in this frequency table below: (Note: To know thenumber of sweaters inspected just add all the frequencies).No. of0123 4 56789 10defectsFrequenc12 7 4 12 12010 0yFind the range, variance, and standard deviation of the number of defects for thisdata.

Range= Maximum observation-minimum observation Here maximum is 10 and minimum is 0. So Range= 10-0=…

Answered: 2. In a quality control study in a…

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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Similar questions

Following are the heights of a random sample of 12 fathers (X) and the corresponding heights of their eldest sons (Y) in inches. X: 65, 63, 67, 64, 68, 62, 70, 66, 68, 67, 69, 71 Y: 68, 66, 68, 65, 69, 66, 68, 65, 71, 67, 68, 70 Which group has the less variable heights based on the coefficient of variation? Answer X or Y. Report the corresponding CV (in %) in 2 decimal places beside your first answer, separated by a comma.
R Programming. Vehicle Ownership by Fortune Magazine Subscribers. A Fortune study found that the variance in the number of vehicles owned or leased by subscribers to Fortune magazine is 0.94. Assume a sample of 12 subscribers to another magazine provided the following data on the number of vehicles owned or leased: 2, 1, 2, 0, 3, 2, 2, 1, 2, 1, 0, and 1. Compute the sample variance in the number of vehicles owned or leased by the 12 subscribers Test the hypothesis to determine whether the variance in the number of vehicles owned or leased by subscribers of the other magazine differs from for Fortune. At a 0.05 level of significance, what is your conclusion?
CASE 02 A manufacturer of flashlight batteries took a sample of 10 batteries from a day's production and used them continuously until they were drained. The time (in hours) the batteries were used until failure is given: 397 355 415 395 352 436 327 417 276 461 1. What gathering technique was used? 2. Construct a histogram for the data. 3. Check the skewness using Pearson's Index. 4. Based on your computation, is the distribution approximately normal? 5. Find the mean and standard deviation for the data. 6. What is P(X > 400)?
You are given the following data of an engineering experiment: a) Construct a frequency Table in which the data is arranged in an ascending order. b) Calculate : 1. The mean. 2. The median. 3. The mode. The range. (2 decimal places) 302.2 407.5 409.3 413.0 412.5 603.5 601.3 508.8 302.1 302.1 505.1 505.1 604.6 413.2 302.2 302.1 405.6 405.6 303.2 401.2 402.3 603.6 601.3 603.6 506.7 302.1 408.4 410.6 302.2 603.4 604.6 604.6 505.1 302.1 406.7 411.7 801.0 604.6 603.6 509.7 303.2 601.3 303.2 505.1 601.3 702.2 801.0 413.3
A company produces scooters used by small businesses that find them convenient for making short deliveries. The company is notified whenever a scooter breaks down, and the problem is classified as being either mechanical or electrical. The company then matches the scooter to the plant where it was assembled. The data table to the right contains a random sample of 200 breakdowns. Use the data file and the relative frequency assessment method to complete parts a through c. Electrical Mechanical Total Plant 1 21 52 73 Plant 2 74 53 127 Total 95 105 200 a. What is the probability a scooter was assembled at Plant 2? P(Plant 2) = (Type an integer or a decimal.) b. What is the probability that a scooter breakdown was due to a mechanical problem? P(mechanical) =D(Type an integer or a decimal.) c. What is the probability that a scooter breakdown was due to an electrical problem and the scooter was assembled at Plant 2? P(electrical and Plant 2) = (Type an integer or a decimal.)
5. Approximate the mean, median and the mode of the frequency distribution table below. CLASSES CM св RF CF 9 1 4.5 -0.5 9.5 1 1 100 10 19 2 14.5 9.5 19.5 2 99 - МEDIAN 20 29 24.5 19.5 29.5 1 4 97 30 39 3 34.5 29.5 39.5 3 7 96 40 49 44.5 39.5 49.5 2 9 93 50 59 9. 54.5 49.5 59.5 9. 18 91 60 69 8 64.5 59.5 69.5 8 26 82 70 79 35 74.5 69.5 - 79.5 35 61 74 80 89 30 84.5 79,5 - 89.5 30 91 39 90 99 9 94.5 89.5 - 99.5 9 100 9 TOTAL 100 100 MEAN MODE
R2
7 Example 21. Prepare a bivariate frequency distribution for the following data for 20 students : Marks in Law (X) : 10 11 10 11 11 14 12 12 13 10 Marks in Statistics (Y) : 20 21 22 21 23 23 22 21 24 23 Marks in Law (X) : 13 12 11 12 10 14 14 12 13 10 Marks in Statistics (Y) : 24 23 22 23 22 22 24 20 24 23.
Suppose you compile all possible samples of 25 children of preschool age in your school district. If you calculate the mean of each sample (M) and create a frequency distribution of these means, this distribution is referred to as the
The presscott national bank has six tellers available to serve customers
For the given data set 3 4 6 7 4 3 8 11 20 23 25 1 2 4 11 22 19 17 15 10 14 12 20 20 15 4 23 9 8 12 a. Construct a complete frequency distribution table b. Compute for the estimated mean, median, and mode

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