To determine if their 2.50 inch galvanized pipes are properly adjusted, Hoffman Manufacturing has decided to use an X-Chart which uses the range to estimate thevariability in the sample.AnswerHow to enter your answer (opeStep 3 of 7: What is the Lower Control Limit? Round your answer to three decimal places.1234567Period obs1 obs2 obs3 obs4 obs5Sample Mean Sample Range2.49602.52 2.51 2.48 2.49 2.482.48 2.48 2.48 2.54 2.542.50402.53 2.49 2.46 2.45 2.45 2.47602.55 2.54 2.53 2.47 2.50251802.49 2.53 2.53 2.51 2.462.522.55 2.502.51002.54 2.50 2.51 2.51002.50402.50 2.482.46 2.542.462.532.45 2.48802.502.502.51 2.50 2.532.472.512.50402.462.512.482.48 2.47 2.532.50 2.53 2.51 2.462.53 2.462.54 2.462.48802.49602.47 2.49402.50602.502.472.50 2.53 2.492.51 2.51 2.532.50802.512.46 2.52 2.482.50 2.46 2.50AWN 5681011121314TableControl Chart15162.512.522.532.49 2.46The average of the selected cell(s) is2.530.Copy Value2.50002.48200.040.060.080.080.070.070.080.080.060.070.080.070.040.060.070.04Copy TableX

Below is the formula of control limits of chart Here,

Answered: To determine if their 2.50 inch…

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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The ages (in years)and heights (in inches) of all pitchers for a baseball team are listed. Find the cofficient of a variation for each of the two data sets. Then compare the result.
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,…
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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.
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