Question

In: Statistics and Probability

please use minitab to solve this question The output of an extrusion process is known to...

please use minitab to solve this question

The output of an extrusion process is known to have a 10% defect rate. A Six Sigma Black Belt recently made changes to the extrusion process as the result of some process analysis that was completed. 567 extrusions were collected after the changes were made and 40 were identified as defectives. Were the changes effective?

Solutions

Expert Solution

if p < 10% in the sample then we can say that changes were effective :

we conclude that the proportion of defects is less than 10%

therefore we conclude that the changes were effective

(please UPVOTE)


Related Solutions

Please use minitab to solve this question The following associates were monitoring the process for              ...
Please use minitab to solve this question The following associates were monitoring the process for               number of defects.                                                           Good                   #Bad                              Al                             232                  434                              Bob                          590                  1199                              Chris                      45                    83 Is there any relationship between associates and their classifications of products?               If so, what could cause the differences?               What would you do next?
Compare extrusion process with rolling process and compare extrusion process with die casting process.
Compare extrusion process with rolling process and compare extrusion process with die casting process.
Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of...
Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly Television Newspaper Gross Revenue Advertising Advertising ($1,000s) ($1,000s) ($1,000s) 101 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 96 3.0 3.3 94 3.5 2.3 94 2.5 4.2 101 3.0 2.5 a. Develop an estimated...
Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of...
Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (x2). Values of y, x1, and x2 are expressed in thousands of dollars. Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 96 5 1.5 90 2 2    95 4 1.5 92    2.5 2.5 95 3 3.3 94    3.5 2.3...
Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of...
Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample...
Use Minitab and produce the appropriate output to answer the following questions. Attach or include the...
Use Minitab and produce the appropriate output to answer the following questions. Attach or include the relevant Minitab output. Construct a scatter plot. Recalling what scatter plots are used for, write a couple of sentences addressing what you observed from the plot. Be sure to relate your observations to the purpose of using scatter plots in regression. (4 points) Can we conclude that median family income helps in predicting median home price? Follow the 7 steps for hypothesis testing. (10...
Use calculator or Excel to solve the following problems. DO NOT USE MINITAB (except e). Do...
Use calculator or Excel to solve the following problems. DO NOT USE MINITAB (except e). Do NOT use Excel built-in functions or solvers (except t.inv() and f.inv() to obtain critical t and f values). The tensile strength of Portland cement is being studied. Four different mixing techniques can be used economically. A completely randomized experiment was conducted and the following data were collected: Technique Tensile Strength Tensile Strength Tensile Strength Tensile Strength 1 3129 3000 2865 2890 2 3200 3300...
These problems may be solved using Minitab. Copy and paste the appropriate Minitab output into a...
These problems may be solved using Minitab. Copy and paste the appropriate Minitab output into a word-processed file. Add your explanations of the output near the Minitab output. DO NOT SIMPLY ATTACH PAGES OF OUTPUT AS AN APPENDIX. Each problem should be able to fit on one or two pages, and each problem should include the following: Minitab output for the ANOVA. Written statement interpreting the ANOVA. Four-in-one plot of the residuals. Written interpretation as to whether the three assumptions...
8. MINITAB QUESTION: Suppose that X ~ B(50, 0.4). Use MINITAB to simulate 30 values of...
8. MINITAB QUESTION: Suppose that X ~ B(50, 0.4). Use MINITAB to simulate 30 values of X by typing in the following commands: MTB > random 30 c1;| SUBC > binomial 50 0.4. (A) What percentage of your values are less than 20? (B) What percentage of your values fall between 14 and 18 inclusive? (C) MINITAB has a “cdf” command that computes P(X ≤ x) for each possible value of x. Enter the commands: MTB > cdf; SUBC >...
Use SPSS to get the appropriate output, and please explain the process. Along with providing the...
Use SPSS to get the appropriate output, and please explain the process. Along with providing the SPSS output, use the 5 steps of hypothesis testing to analyze the results by using the p-value approach. 2. Given the following data, test to see if the company with newer technology has greater output than the company with older technology. Test at the 0.05 level of significance and do not assume equal variances. Company A (with new technology): 1123, 1120, 1000, 1500, 1500,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT