Kelly Paints has decided to use a c-Chart to monitor the number of defects per jeep produced by theirpainting process. The c-Chart should be constructed with 3-sigma control limits. The operationsmanager randomly samples one jeep at 8 successively selected time periods and counts the number ofdefects on the jeep.TableAnswerHow to enter your answer (opens in newControl ChartStep 2 of 7: What is the Upper Control Limit? Round your answer to three decimal places.Select the Copy Table button to copy all values. To select an eror column, either click on the row or column header or use theand arrow keys. To find the average of the selected cells, selecAverage Values button.Sample Defects123st45678Copy Table10131214111469Copy TableAverage ValuesThe average of the selected cell(s) is 10.000.Copy Value

The operations manager randomly samples one Jeep at successively selected time periods and counts…

Answered: Kelly Paints 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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Set up the appropriate control charts for the 30 days of data. Calculate the control limits for each chart. Plot the data for the 30 days in an Xbar chart and an R chart. Using on the data file provided, set up the appropriate control charts for the 30 days of data, calculating the control limits for each chart. What is the lower control limit for the R (range) Chart? Enter your response to three decimal places. You do not need to include the units (minutes), ONLY the numeric value.
A study title “Teacher Involvement and School Environment in Slow Learner Learning”. State the four measurement scales in research. Give examples of each scale in the research instrument.
Explain in detail. Thank you
Activity 1 Directions: Answer the following question. Use Microsoft Excel if necessary. 1. An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit. Identify the following: a. Population b. Sample c. Variable d. Level of Measurement used 2. Determine the correct data type (quantitative or qualitative). Indicate whether quantitative data are continuous or discrete the following: a. the number of pairs of shoes you own b. the type of car you drive c. the distance from your home to the nearest grocery store 3. The Whitcomb Company manufactures a metal ring for industrial engines that usually weig about 50 ounces. A random sample of 50 of these metal rings produced the following weights (in ounces). 51 53 56 50 44 47 53 53 42 57 46 55 41 44 52 56…
In a pharmaceutical company, the proportion of injection bottles found defective were 0.2, 0.1, 0.8, 0.04 out of 80, 60, 40 and 50 sample bottles. Calculate control limits. Q9.
I need 41, 42, 43, and 44 please.
Construct a stem-and-leaf display of the data. What appears to be a representative strength value? Do the observations appear to be highly concentrated about the representative value or rather spread out? b. Does the display appear to be reasonably symmetric about a representative value, or would you describe its shape in some other way? c. Do there appear to be any outlying strength values? d. What proportion of strength observations in this sample exceed 10 MPa? The strength data for beams is attached
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? : Click the icon to view the data. What are the hypotheses for this test? Data Table O A. Ho: H1 = H2 =H3 H: At least one of the means is different from the others. Туре с O B. Ho: H1 # H2 * H3 Туре А 6.2 Type B 8.2 7.7 Hyi Hy = H2 =H3 5.8 7.3 7.6 6.2 8.4 8.8 OC. Ho: H1 = H2 = H3 H: H1 # H2 #H3 5.7 7.8 8.8 6.9 8.8 9.3 6.1 7.7 8.1 O D. Ho: At least one of the means is different from the others. 7.9 5.7 7.3 5.9 7.3 7.8 H: H1 =H2 = H3 5.6 8.1 5.6 Determine the test statistic. F = (Round to two decimal places as needed.) Print Done Identify the P-value. Click to select your answer(s).…
Find the 5 number summary for the data shown 5.4 7 9.2 13.8 19.9 21.9 23.3 26.1 5 number summary: Use the Locator/Percentile method described in your book, not your calculator. Submit Question E
Please write complete thx. Penicillin is produced by the Penicillium fungus, which is grown in a broth whose sugar content must be carefully controlled. Several samples of broth were taken on each of three successive days, and the amount of dissolved sugars (in mg/mL) was measured on each sample. The results were as follows: Day 1 4.6 4.9 5.0 4.8 5.2 4.9 Day 2 5.0 5.0 5.1 5.5 5.1 5.3 Day 3 5.7 5.6 5.3 5.5 5.4 5.4 6.2 5.3 a) State the appropriate hypotheses to test for a difference in means. b) Construct the appropriate ANOVA table. c) Use the ANOVA table from part b) to test whether there is a difference in the mean amount of dissolved sugars between the three days at the .05 level. d) Is it applicable to follow up with Tukey-Kramer pairwise comparisons? If so, determine which pair(s) of means are significantly different using the Tukey-Kramer method. If not, explain why not.
can you make those to Anova Test?Control: 10.3cm, 19.5cm, 19.8cm Experimental for 1.25ml: 18cm, 18cm (2 plants) Experimental for 2.5ml: 9cm (1 plant) Experimental for 5ml: 10.2cm, 14.1cm (2 plants) This is the result for our leaves length: Control: 4.20 cm, 4 cm, 3.7 cm , 2cm, 2.1cm, 2.1cm, 5.5cm, 5.1cm, 5.8cm, 6.1cm, 6m, 7.1cm, 7.1cm, 6.2cm, 6.6cm, 6.5cm, 2.5 cm, 16cm, 1.5cm Experimental for 1.25ml: 5.4cm, 4.5 cm, 4.5 cm, 6.5 cm, 6.3cm, 6.2cm, 1.9cm, 1.5cm, 1.4cm, 5.3cm, 5.8cm, 5.7cm, 6.2cm, 6.3cm, 6cm, 3.3 cm, 1.6cm, 2 cm (17 leaves) Experimental for 2.5ml: 4cm,3cm, 3cm (3 leaves) Experimental for 5ml: 5.4cm,5.7cm, 4.8cm, 4.7cm, 2.6cm, 2.5cm, 2.1cm ( 7 leaves)
1.) Write your solution A. Determine the 1" quartile, 2 quartile, 3rd quartile and interquartile range (IQR), given the scores of; 11, 24, 23, 11, 13, 17, 15, 19, 21, then interpret each of your answer. B. Solve for the Percentile Rank of 17.

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