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The subject is Engineering Data Analysis p.s please answer my question. Please thank you so much

Q.49 A person operates a machine that makes capacitors. He has been advised to keep the track of the percentage defectives at his work center. He knows that this type of process, they expect about 4% defectives plus or minus some chance variation. He wishes to initially construct a control chart for defectives. He has prepared ten daily samples of hundred capacitors each. Sample No. 1 2 3456 789 10 % defectives 4 3 36 195 12 4 3 ) Construct the relevent control chart. What are upper and lower control limits?

Part 1 1. In a study of ground motion caused by earthquakes, the velocity (in m/s) and the acceleration (in) were recorded for five earthquakes. The results are presented in the following table and compute the variance and standard deviation of the acceleration of these samples and explain their meaning. Velocity 1.54 1.60 0.95 Acceleration 5.64 6.04 6.04 1.3 2.92 4.37 3.00

Areas Under the Standard Normal Curve-The Values Were Generated Using the Standard Normal Distribution Function of Excel Note that the standard normal curve is symmetrical about the mean. z 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1 0.11 0.12 1 0.95 0.96 0.97 0.98 0.99 1.01 1.02 1.03 1.04 1.05 Mean - 0 1.06 1.07 1.08 1.09 A 0.0000 0.0040 0.0080 0.0120 0.0160 0.0199 0.0239 0.0279 0.0319 0.0359 0.0398 0.0438 0.0478 A 0.3186 0.3212 0.3238 0.3264 0.3289 0.3315 0.3340 0.3365 0.3389 Z 0.3413 0.3438 0.3461 0.3485 0.3508 0.3531 0.3554 0.3577 0.3599 0.3621 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.2 0.21 0.22 0.23 0.24 0.25 1.12 1.13 1.14 1.15 1.16 1.17 A z 0.0517 0.0557 0.26 0.27 0.28 0.29 0.0596 0.0636 0.0675 0.3 0.0714 0.31 0.0753 0.32 0.0793 0.33 0.0832 0.34 0.0871 0.35 0.0910 0.0948 0.0987 1.18 1.19 1.2 1.21 1.22 1.23 1.24 1.25 1.26 1.27 1.28 A 0.3643 0.3665 0.3686 0.3708 0.3729 0.3749 0.3770 0.3790 0.3810 0.36 0.3830 0.3849 0.3869 0.3888 0.3907 0.3925 0.3944 0.3962 0.3980 0.3997 0.37…

computational methods - linear regression   do not use spreadsheet program to find answer.

Essay: Please answer the following questions: 1. Differentiate probability sampling from non-probability sampling. 2. Illustrate the application of the following probability techniques: a. Systematic Random Sampling b. Stratified Random Sampling c. Random Sampling 3. Why do researchers prefer the use of probability techniques? Simple

The orthographic views of an object are shown below. a) Draw its isometric drawing using a pencil. Provide all important dimensions on your isometric drawing. b) You need to take pictures of all main steps and need to provide a step-by-step method to draw isometric drawing accompanied by pictures. 307303030 | 20 60 15 15 55 30 20 60 + 27.5 4 25 47.5 25 R20 20 T 15 60 016 120 R30 120 120 30

Had to place entire problem on here because it was confusing experts. Thank you for your help.

Statistical Inference

The network diagram for a project is shown in the accompanying figure, with three timeestimates for each activity. Activity times are in weeks. Do the following:a. Compute the expected time for each activity and the expected duration for each path.b. Identify the critical path.c. Compute the variance of each activity and the variance and standard deviation of eachpath.

Student A B D H Number 201780130 2 1 7 8 1 3 Evaluate the following variables and use them as given in the following problems. 200 if I is even, 250 if I is odd (D + G)*10 (H + I/2, if in case the result is zero, use 3 (A +C + E)*2 (P + M)*20 H + 5 M Q %3D 50(E + G + 1) II II || || || |||| ZNPORX

The 7-distribution is used to estimate a population mean for large samples if the population standard deviation is known. "Large" is usually defined as at least 5% of the population size B. at least 142 at least 10 at least 30

The subject is Engineering Data Analysis

The heat transfer conducted through material is calculated from the equation: Q = KX AXTD/L Where K: Conductivity of material A: Area of heat transfer TD: Temperature difference across material L: Thickness of material A student measures the area, thickness and temperature difference and assumes that the error in conductivity is negligible. The student also estimates the uncertainty range for each variable. In estimating the maximum possible value of Q, the student should use the following formula: A B Q max= K x A max x TD max / L max Q max= K x A max x TD max / L nom Q max= Q nominal + dQ/dLmin Q max= K x A max x TD max / L min

Can you explain how to get the graphs and what the equations mean? I'm also confused for the fill in the blanks portion. Please and thank you!

1) Graph 1: plot t on the abscissa versus y on the ordinate and (artistically) draw a smooth line through the points. The line need not actually go through each data point.   2) Graph 2: plot t^2 on the abscissa versus y on the ordinate and then perform a linear regression. Remember to plot both the raw data points and the line of best fit (with the two points used to draw it); also show the regression equation and r value on the graph.   3) On graph (1), what does the slope of the line tell you about the velocity of the ball? Be thorough!   4) On graph 2: a) What does the slope of the line tell you about the acceleration of the ball? Be thorough! b) Calculate g from the freefall data and the % error (in comparison to 9.81 m/s^2) using the results from the linear regression calculation. c) What do the values of the y-intercept and correlation coefficient (r) tell you?

The following data provide the time in months from hire to promotion to manager for a random sample of 25 software engineers from all software engineers employed by a large telecommunications firm. 5 7 229 453 12 14 18 14 14 483 22 21 25 23 24 34 37 34 49 64 47 67 69 192 125 Calculate the mean, variance, and standard deviation for this sample.

As an engineer working for a water bottling company, you collect the following data in order to test the performance of the bottling systems. Assume normal distribution. Milliliters of Water in the Bottle Frequency 485 490 milliliters 495 500 505 510 515 What is the mean (in milliliters)? milliliters What is the standard deviation (in milliliters)? What is the z value corresponding to 490 milliliters? Z = 6 12 20 33 18 11 00 8

please show work answer is D

Projects A and B are mutually exclusive. The minimum attractive rate of return (MARR) is 12%. Using rate of return analysis, which project should be selected? If the image fails to load here, go to https://www.dropbox.com/s/ld6wctqieu8jgwp/ROR.jpg Year 0 1 2 3 4 ROR A - $750 $200 $200 $200 $600 17.68% B - $1,150 $300 $350 $400 $700 16.44% O Project A O Project B O Both Project A and B O Select none of the project. O Insufficient information to make a decision. B-A - $400 $100 $150 $200 $100 13.69%

I want a full answer with all solution steps and neat handwriting  F=19 KN   PLZ don't copy the answer from another answer

Test the claim that the samples come from populations with the same mean. Assume that the populations are normally distributed with the same variance. 1) Given the sample data below, test the claim that the populations have the same mean. Use 1) a significance level of 0.05. Brand A n = 10 x = 32.1 s2 = 4.37 Brand B n = 10 x = 32.6 s2 = 3.61 Brand C n = 10 x = <= 27.2 s² = 3.34

pleas show all steps Given three production runs of test data with five samples each, determine the control limits for the upper and lower control limits for the associated Xbar and R charts (values are in mm): X1 X2 X3 19.5 19.9 19.6 19.9 20.0 19.4 19.2 19.7 20.3 20.3 19.9 20.1 20.0 19.3 19.7 Sample Size Az 2 DA D3 dz 1.880 3.267 1.128 3 1.023 2.575 1.693 4 0.729 2.282 2.059 5 0.577 2.115 2.326 6 0.483 2.004 2.534 7 0.419 1.924 0.078 2.704 8 0.373 1.864 0.136 2.847 9 10 0.337 1.816 0.184 2.970 0.308 1.777 0.223 3.078 12 0.266 1.716 0.284 3.258 15 0.223 1.652 0.348 3.472 20 0.180 1.586 0.414 3.735

Table 2 20 29 34 37 41 50 22 30 34 37 41 50 22 30 34 38 44 50 24 30 34 38 44 55 24 32 34 39 44 55 24 32 34 39 45 55 25 32 36 40 45 58 26 33 36 40 45 62 27 33 36 40 46 62 28 33 37 41 47 66 4. Find the coefficient of variation for the ages in Table 2. The mean yearly salary of all the employees at Pretty Printing is $42,500 and the standard deviation is $4000. The mean number of years of education for the employees is 16 and the standard deviation is 2.5 years. Which of the two variables has the higher relative variation? 5.

Exercise 4.4: Seven students measured the length of a rod to be as shown below: Student No. 1 4 6. 7 Length (cm) 87.5 87.3 87.4 87.6 87.8 87.2 87.1 (a) What is the best estimate for the length of the rod? (b) What is the sample standard deviation in the length of the rod? (c) What will be the uncertainty in the length of the rod?

Determine if the data has a positive or a negative relationship with each other. Showcase the regression line, and determine if the data provided fits the approximate curve.