William Industries has decided to use a p-Chart with 3-sigma control limits to monitor the proportion of defective bolts produced by their production process. Theoperations manager randomly samples 250 bolts at 14 successively selected time periods and counts the number of defective bolts in the sample.TableStep 2 of 8: What value of z should be used to construct the control chart?AnswerHow to enter your answer (cand arrow keys. Io Tina the average of the selected cells, select the Average values button.Copy TableSample Defects1234567891011121314121313141287117109Control Chart121310Average ValuesThe average of the selected cell(s) is 12.000.Copy ValueCopy Tal

Want to use a p-chart with 3 sigma control limits to monitor the proportion of defective castings…

Answered: William Industries has decided to use 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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John works as a weld inspector in a shipyard. Because he keeps track of good and poor welds, he knows that 5% of all welds will be poor during the afternoon shift. What are the chances that the proportion of poor welds will be more than 0.083 based on a sample of 300 welds? O a 0.0044 Ob 0.9957 Ⓒc 0.0045 Od 0.9881
Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made the time period of January 1 to March 31. The table gives the defect and the number of defects. Do the data support the notion that each defect type occurs in the same proportion? Test at the 5% level. Number of Defective Lenses Defect type Number of defects Scratch 1866 Right shaped - small 1935 Flaked 1979 Wrong axis 1921 Chamfer wrong 1864 Crazing, cracks 1991 Wrong shape 2004 Wrong PD 1895 Spots and bubbles 1917 Wrong height 1885 Right shape - big 1875 Lost in lab 1886 Spots/bubble - intern 1935 State the hypotheses.H0: Each defect type in the same proportion.Ha: Each defect type in the same proportion. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to three decimal places.χ2 = Calculate the p-value. Round to four decimal places.p-value = State your decision.Since p-value 0.05,…
Pain medications sometimes come with side effects. One side effect is dizziness. A researcher wanted to determine if some pain medications produced more or less dizziness than others. The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group who experienced dizziness are the same at the � = .01 level of significance. Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair. ��:The proportion of people within each treatment group who experienced dizziness are independent��: The proportion of people within each treatment group who experienced dizziness are dependent ��: The proportion of people within each treatment group who experienced dizziness are the same��: The proportion of people within each treatment group who experienced dizziness are different 2) Determine the…
A local authority is going to study the relationship between the size of household and the daily plastic usage consumed by them. The results of a sampling given below in Table 5 indicate some values of X (weight of plastic usage) and Y (the size of household). Table 5: Weight of plastic usage (X) and size of household (Y) X 0.27 1.41 2.19 | 2.83 2.19 1.81 0.85 3.05 Y 2 3 3 4 2 1 5 i) From the above sampling, find the value of correlation coefficient r. ii) Using the same sample data set above, conduct the hypothesis testing to know whether the variable X and Y are really correlates using 95% confidence level. iii) Find out if the decision in (ii) may change if you increase the confidence level to 99%.
Alabama's assembly unit has decided to use a p-Chart with an alpha risk of 3% to monitor the proportion of defective copper wires produced by their production process. The operations manager randomly samples 300 copper wires at 14 successively selected time periods and counts the number of defective copper wires in the sample. Answer How to enter your answer (opens in r Control Chart Step 2 of 8: What is the z-value associated with the level of significance stated in the problem? Round your answer to two decimal places. MASIN3A Select the Copy Table button to copy all values. To select an entire row or column, either click on the row or column header or use the Shift and arrow keys. To find the average of the selected cells, select the Average Values button. Sample Defects 1 2 4 Table 6 8 7 7 8 8 10 9 9 7 8 9 13 12 11 12 13 9 12 9 14 13 14 Copy Table Copy Table Average Values The average of the selected cell(s) is9.000. Copy Value x
The exercise presents numerical information. Describe the population whose properties are analyzed by the data. There were 531 crimes in a certain per 100,000 residents.
In the real world, what kinds of data are distributed in the shape of a bell curve? Cite examples of how the Bell Curve has been used that you think are good, or bad, or neutral.
Use the following information to answer the next three exercises. 1; 1; 2; 3; 4; 4; 5 ; 5; 6; 7; 7; 8; 9 39. What is the first quartile for this data? 40. What is the third quartile for this data? Use the following information to answer the next four exercises. This box plot represents scores on the final exam for a physics class.
Researchers examined the influence of a television program on children's aggressiveness. The number of aggressive responses was measured during an observation period after viewing the television program. Imagine that the known national average for number of aggressive responses typically performed by children who do not watch television is 6.847. Use the data below to conduct an analysis to determine if the number of aggressive responses on average is different from the national average. The data for this study can be found below, answer questions based on data. What is the null and alternative hypotheses in words and symbols? Is the assumption(s) met? Please explain your answer and proceed with the analysis even if the assumption(s) is not met. What do you conclude from your analysis? Based on your response in “c” above, identify and explain the type of error you could be making. responses 9 4 11 12 14 7 12 10 11 8 14 12 8 12 7 10 10 9 5…
The pathogen Phytophthora capsici causes bell peppers to wilt and die. Because belI peppers are an important commercial crop, this disease has undergone a great deal of agricultural research. It is thought that too much water aids the spread of the pathogen. Two fields are under study. The first step in the research project is to compare the mean soil water content for the two fields. Units are percentage of water by volume of soil. Field A samples, x: 10.0 10.7 15.5 10.4 9.9 10.0 16.6 15.1 15.2 13.8 14.1 11.4 11.5 11.0 Field B samples, x,: 8.3 8.5 8.4 7.3 8.0 7.1 13.9 12.2 13.4 11.3 12.6 12.6 12.7 12.4 11.3 12.5 A USE SALT Use a calculator to calculate x,, s,,x,, and s,. (Round your answers to four decimal places.) x, (a) Assuming the distribution of soil water content in each field is mound-shaped and symmetric, use a 5% level of significance to test the claim that field A has, on average, a higher soil water content than field B. (1) What is the level of significance?
choose the best description of the results below

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