A certain article reported the following observations, listed in increasing order, on drill lifetime (number of holes that a drill machines before it breaks) when holes were drilled in a certain brass alloy.12 15 21 23 3058 60 65686782 83 86 88104 104 111 118 124 137 140 141 147 158USE SALTsample mean10% trimmed mean25% trimmed mean90773 15 268Compare these measures.729338 43 47 50162 169 185 205 249 263 289 321 389 51474 76 77 7995 99 100 103Compute the sample median, sample mean, 10% trimmed mean, and 25% trimmed mean for the lifetime data. (Round 25% trimmed mean to four decimal places.)sample medianPRACTICE ANOTHER4

We have given a list of data in increasing order, as follows:…

Answered: A certain article reported the…

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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The following scatterplot and table represent the mean monthly temperature and rainfall of a coastal city over a period of 10 months. 325 300 275 250 225 200 rainfall (mm) 175 150 100 75 50 25 Temp 18 (°C) Rainfall 45 (mm) 15 X 10" 11" 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Temperature "C 20 19 Mean monthly temperature and rainfall 50 25 22 24 X 115 65 X 28 26 27 29 100 300 190 175 200 2.1 Determine the equation of the least squares regression line. 2.2 Identify the outlier. 2.3 Sketch the equation of the regression line on the DIAGRAM provided at the end of your paper. 2.4 Determine the value of the correlation coefficient and comment on the relationship between the mean temperature and the mean rainfall. 2.5 If the mean temperature recorded for a certain month is 14°C, calculate the mean rainfall for that month. How reliable is your answer? Explain and motivate your answer.
The data below represent the prices of different items in a supermarket, construct the frequency table (use 6 classes) and find: 1) Мean 2) Median 3) Mode 4) Variance 5) Standard deviation 165 186 122 172 140 153 208 169 156 114 113 135 131 125 177 136 171 179 152 155 136 127 112 188 116
A boat capsized and sank in a lake. Based on an assumption of a mean weight of 133 Ib, the boat was rated to carry 70 passengers (so the load limit was 9,310 Ib). After the boat sank, the assumed mean weight for similar boats was changed from 133 lb to 174 lb. Complete parts a and b below. a. Assume that a similar boat is loaded with 70 passengers, and assume that the weights of people are normally distributed with mean of 181.1 Ib and a standard deviation of 38.6 lb. Find the probability that the boat is overloaded because the 70 passengers have mean weight greater than 133 lb The probability isO: (Round to four decimal places as needed.) b. The boat was later rated to carry only 17 passengers, and the load limit was changed to 2,958 Ib. Find the probability that the boat is overloaded because the mean weight of the passengers is greater than 174 (so that their total weight is greater than the maximum capacity of 2,958 Ib). The probability is. (Round to four decimal places as needed.)…
Research department of the Municipal hospital in Prampram collected the mass (kg) of patients :it visited the health facility on March, 2018. Below are the masses (kg) of 40 patients who visited •.r hospital for analysis: 55 70 57 73 55 59 64 72 60 48 58 54 69 51 63 78 75 64 65 57 71 78 76 62 49 66 62 76 61 63 63 76 52 76 71 61 53 56 67 71 a) Construct a frequency table for the data using class width of 5. b) Calculate the mean, median and the standard deviation of the mass of the distributior c) Construct the cumulative graph.
Data on oxide thickness of semiconductors are as follows: 417 422 435 418 408 433 430 422 426 411 437 436 432 411 426 408 436 422 432 415 414 Consider this data as a sample of the population. (a) Calculate a point estimate of the mean oxide thickness for all wafers in the population. (Round your answer to 3 decimal places.) (b) Calculate a point estimate of the standard deviation of oxide thickness for all wafers in the population. (Round your answer to 2 decimal places.) (c) Calculate the standard error of the point estimate from part (a). (Round your answer to 2 decimal places.) (d) Calculate a point estimate of the median oxide thickness for all wafers in the population. (Express your answer to 1 decimal places.) (e) Calculate a point estimate of the proportion of wafers in the population that have oxide thickness greater than 430 angstrom. (Round your answer to 4 decimal places.)
1. Sample data for the number of deaths attributed to UV radiation in African countries in the year 2002 is given in table. 50 84 31 338 504 40 7 58 204 15 27 39 1 45 174 98 94 199 27 58 356 45 94 26 171 13 57 138 39 3 171 41 1177 102 123 433 35 40 456 125 (a) Find the mean and standard deviation. (b) Use Chebyshev's theorem to find an interval centered about the mean number of deaths from UV radiation in which you would expect at least 75% of the numbers to fall.
Comment on the shape of the distribution. Images attached.
The following data reflect the number of defects produced on an assembly line at an electronics company for the past 24 days. 3. 3 1 2 4 1 4 O 2 3 1 5 5 3 8 a. Compute the mean number of defects for this population of days. b. Compute the median number of defects produced for this population of days. c. Determine if there is a mode number of defects, and if so, indicate the mode value. a. The mean number of defects is (Round to two decimal places as needed.) b. The median number of defects is (Round to two decimal places as needed.) c. If there is a mode number of defects, indicate the mode value. Select the correct choice below and fill in the answer box, if necessary, to complete your answer. O A. The mode number of defects is O B. There is more than one mode number of defects. The modes are (Use a comma to separate answers as needed.) OC. There is no mode number of defects. 44 24 22
The data given is shown below 40 40 43 46 44 49 51 54 46 51 47 49 49 45 45 44 45 41 49 52 51 54 50 51 41 52 53 50 46 56 42 42 40 42 49 47 51 48 46 57 48 55 49 46 57 44 49 43 44 43 51 48 48 46 49 Class width = 6 Find the following: A. standard deviation B. Variance C. Percentile (50th)
The weekly wages (to the nearest K) of the production line workers in small factory is shown in the table below: Weekly wage (K) Number of workers 16 – 25 5 26 – 35 16 36 – 45 14 46 – 55 22 56 – 65 26 66 – 75 14 i. Calculate the estimate of the mean wage ii. Find an estimate for the median wage iii. Find an estimate for the modal wage iv. Find an estimate for the quartile deviation wage v. Compute the coefficient of variation
Following discrete data shows the marks achieved by the students on writing a “Feasibility report” to launch a new Schooling System for differently abled children. 92 54 57 37 77 90 23 54 80 82 44 77 84 38 54 84 Calculate: Arithmetic Mean Harmonic Mean Geometric Mean Root Mean Square Median and Mode

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