1. The following data reflect the number ci defects produced on an assembly line at Dearfield Elect onics company for 8 years. 30201352 51300133 43184240 a. Compute the mean number of d :fects for this population of days. b. Compute the median number of defects for produced for this populations of day

1. The following data reflect the number ci defects produced on an assembly line at Dearfield Elect onics company for 8 years. 30201352 51300133 43184240 a. Compute the mean number of d :fects for this population of days. b. Compute the median number of defects for produced for this populations of day

Name: 1. The following data reflect the number ci defects producedon an ass
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Description: 1. The following data reflect the number ci defects producedon an assembly line at Dearfield Elect onics company for 8years.302013525130013343184240a. Compute the mean number of d :fects for this populationof days.b. Compute the median number of def

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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To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 19 32 23 25 30 22 23 35 26 21 31 25 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use alpha=0.05. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Treatment ? Sum of Squares, Error ? Mean Squares, Treatment ? Mean Squares, Error ? Calculate the value of the test statistic (to2 decimals)? The p-value is? What is your conclusion? b. At the 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. Calculate Fisher's LSD Value (to 2 decimals)? What conclusion can you draw after carrying out this test?
(a) Use an appropriate computer program to fit aplane to the following data relating the monthly water usage of a production plant (gallons) to its monthly pro-duction (tons), mean monthly ambient temperature (◦F), and the monthly number of days of plant operation overa period of 12 months. Mean Days ofWater usage Production temperature operationy x1 x2 x32,228 98.5 67.4 192,609 108.2 70.3 203,088 109.6 82.1 212,378 101.0 69.2 211,980 83.3 64.5 191,717 70.0 63.7 212,723 144.7 58.0 192,031 84.4 58.1 201,902 97.4 36.6 171,721 131.8 49.6 232,254 82.1 44.3 182,522 64.5 44.1 19(b) Estimate the water usage of the plant during a month when its production is 90.0 tons, the mean ambient tem-perature is 65◦F, and it operates for 20 days.
A) A sample of n=5 scores has a mean m=12. If one score with a value x=18 is added to the sample, what is the value for the new mean? B) Find the mean for the scores in the following frequency distribution table X F 9 1 8 1 7 3 6 4 5 1 4 0 The mean to two decimal places? C) A population of N=10 scores has a mean of mu =12, if one score with a value of X= 21 is removed from the popultion, then what is the value of the new population mean?
1. The Stem and Leaf output that corresponds to a set of test scores is as follows: N = ? Stem-and-leaf of C1 Leaf Unit = 0.1 133788 15 3. 114566669 (x) 4 0024456677788 11 5. 0699 6. 338 247 y 1 1 i. How many data points form this set? ii. What is the value of x? iii. What is the value of y? iv. What is the lowest score v. What is the highest score? vi. List the first 5 class intervals for the stem-and-leaf 00
1. These are the lengths of 10 tuna fish landed at Sohar, Muttrah and Sur కంగణ 100 90 110 120 130 140 120 110 100 90 Mutrab 125 100 110 120 140 170 120 130 190 120 Sur 150 160 155 160 180 170 165 172 138 159 Mean Stdev sem Variance Sohar 111.000 16.633 5.260 276.670 Muttrah 132.500 27.613 8.732 762.500 Sur 160.900 11.833 3.760 141.211 What is the value of F?| What is the value of F-critical? What is the value of P? Would you accept or reject the null Accept Reject hypothesis? (Tick one box) Is there a significant difference between Significant No difference difference the means? (Tick one box) How many degrees of freedom does t have in the LSD equation? What is the value of LSD?
c. Five-Number Summary d. Distribution characteristics (positively or negatively skewed)
.
Engineers are interested in comparing the mean hydrogen production rates per day for three different heliostat sizes. From the past week’s records, the engineers obtained the amount of hydrogen produced per day for each of the three heliostat sizes. Then they computed and compared the sample means, which showed that the mean production rate per day increased with the heliostat sizes. a. Identify the type of the study describe here. b. Discuss the type of interference that can and cannot be drawn from this study.
. A process that cuts lengths of metal with high precision has historically produced metal rods with length that is normally distributed and with a mean of 800 millimetres (mm). Management at the factory is concerned that after an overhaul of the machine the mean length of the rods being produced could differ from the required 800 mm. If it is found that the rods are not being produced to specifications then the machine will have to be stopped for readjustment, with a consequent loss of production. The production line manager tasked with investigating the issue finds that a (random) sample of 25 rods yielded a mean length of 806 mm and a sample standard deviation of 10 mm. i. The mean of the sample is clearly not the required 800 mm. Say why this is not enough information in itself to say if the machine is operating correctly or not. ii. State the null and alternative hypotheses for this situation.
2. According to World Health Organization (WHO), the recommended limit for a noise level inside a classroom is 35 dBA. However, nine out of ten schools fail to meet this recommendation. A researcher wishes to conduct a study relevant to the prior information, but as a gap, he decides to include the area (in square meters) of every classroom and how it could possibly affect the resulting noise level. He selects 17 classrooms at random, and the noise levels are recorded in the next slide. a. Find the regression equation and construct the scatter plot diagram. b. Predict the noise level if a classroom has an area of 85.97 m². c. Calculate the coefficient of determination and interpret the findings. d. Calculate the coefficient of alienation and interpret the findings.
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1A. State the null and research hypothesis 2A. Make a decision based on the information provided 3A. State the type of error that may exist under the condition.