An experiment was conducted to investigate warping of copper plates. The two factors studied were the...
Johnson and Leone describe an experiment to investigate warping
of copper plates. The two factors studied were the temperature and
the copper content of the plates. The response variable was a
measure of the amount of warping. The data are as follows:
Copper Content(%) Temperature 406080 100 50 75 100 125 17, 20 16,21 24,22 28, 27 12,9 18, 13 17, 12 27, 31 16, 12 18,2 25,2330, 23 21,17 23, 21 23, 22 29, 31 We were unable to...
please provide minitab outputs and instructions
Use MINITAB to do the calculations and include the outputs in the report Conclusions and interpretations must be hand written and included when possible. 1. Two engineers describe an experiment to investigate the warping of copper plates The two factors studied were the temperature and the copper content of the plates The response variable was a measure of the amount of warping. The data were as follows: Copper Content (%) Temperature (C) 40 60...
Provide R code solution.
Explanation and details.
4. Question 5.7. Johnson and Leone (Statistics and Experimental Design in Engineering and the Physical Sciences, Wiley, 1977) describe an experiment to investigate warping of copper plates. The two factors studied were the temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data were as follows: Copper Content (%) Temperature (C)40 100 17, 20 16,2 24. 22 28, 27 12.9 18, 13...
1 A measurement systems experiment involving 20 parts, three operators, and two measurements per part is shown in Table 8E. 12. (a) Estimate the repeatability and reproducibility of the gauge (b) What is the estimate of total gauge variability? (c) If the product specifications are at LSL 6 and USIL - 60, what ca you say about gauge capa bility? TABLE 8E. 12 Measurement Data for Exercise 8.34 Operator 1 Operator 2 Operator 3 Measurements Measurements Measurements Part Number 1...
Conduct a formal hypothesis test of the claim that the mean longevity is less than 57 days. Test at significance α=0.05. Your written summary of this test must include the following: Your null and alternate hypotheses in the proper format. The type of distribution you used to construct the interval (t or normal). The P-value and its logical relationship to α (≤ or >). Your decision regarding the null hypothesis: reject or fail to reject. A statement regarding the sufficiency/insufficiency...
For each variable of interest, do the following: 1. Find the mean, five-number summary, range, variance, and standard deviation. Display these numbers in a format that is easy to understand. 2. For each variable of interest, use its five-number summary to construct a boxplot. Each boxplot must be constructed horizontally, and must be accompanied by a brief descriptive paragraph that assesses whether the data appear to be symmetrical, left-skewed, or right-skewed. Construct a 95% confidence interval for the mean μ...
For each variable of interest – Percent Time Asleep and Longevity – create a grouped frequency histogram. For each histogram, use a class width of 10; use a lower limit of 0 for Percent Time Asleep and 15 for Longevity. Each histogram must include an informative title, along with correct labels for both axes. For each histogram, include a paragraph that answers each of the following questions: Is the histogram symmetric, skewed to the left, or skewed to the right?...
For the two variables of interest: Create a scatter plot with Percent Time Asleep as the independent variable x and Longevity as the dependent variable y. The plot must include an informative title, along with correct labels for both axes. Include a plot of the least-squares equation (see #5 below). Calculate the correlation coefficient and the coefficient of determination. Identify any data points on the scatter diagram that appear to be influential. Use Cook's Distance > (4⁄√n) as the criterion...
Game
Point_Differential Assists
Rebounds Turnovers Personal_Fouls
1 15 15 38
11 9
2 36 20 43
8 13
3 16 21 29
7 13
4 45 22 46
11 11
5 12 11 40
7 22
6 -10 10 31
13 26
7 11 19 45
11 7
8 12 16 32
16 14
9 3 16 27
18 15
10 19 9 34
17 17
11 40 16 41
9 17
12 44 12 29
9 22
13 16 ...
A soft drink manufacturer uses fire agents to handle premium distribution for is various products. The marketing director desired to study the timeliness with which the premiums are distributed. Twenty transactions for each agent were selected at random and the time lapse (in days) for handling each transaction was determined. The results follow: Agent 1 Agent 2 Agent 3 Agent 4 Agent 5 24 18 10 15 33 24 20 11 13 22 29 20 8 18 28 20 24...