Table 5: Measurement Data for Question 9 Part Number Op-1, M-1 Op-1, M-2 | Op-2, M-1 Op-2, M-2 | Op-3, M-1 Op-3, M-2 1 21 20 20 20 19 21 2 24 23 24 24 23 24 3 4 5 6 7 8 9 10 11 21 12 8222332 201 21 20 22 20 22 27 27 28 26 27 28 19 18 19 21 24 21 22 19 17 18 24 23 25 25 23 26 20 20 18 19 17 13 23 25 25 2 3 3 3 3 2 3 18 18 21 21 23 22 24 22 20 19 23 24 25 24 20 21 19 18 25 25 14 24 24 23 25 24 15 29 30 30 28 31 16 26 26 25 26 25 17 20 20 19 20 20 843882388 20 18 25 20 19 25 25 30 27 20 18 19 21 19 19 21 23 19 25 26 25 24 25 25 20 19 19 18 17 19 17 Question 9 A measurement systems experiment involving 20 parts, three operators (Op-1, Op-2, Op-3), and two measure- ments (M-1, M-2) per part is shown in Table 5. (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 USL 60, what can you say about gauge capability?

A researcher is studying the relationship between sugar consumption and weight gain. Twelve volunteers were randomly assigned to one of two groups. The first group had five participants which were put on a diet low in sugar and the other group with the remaining seven participants received 10% of their calories from sugar. After 8 weeks, weight gain was recorded from each participant.  a) Explanatory variable:    (weight, 10% calories, Sugar consumption, weight gain) b) Response variable:    (weight gain, type of diet for severe participants, sugar consumption) c) Which of the following principles was not used in this study?                         A. Replication           B. Blinding                      C. Randomization                  D. Control d) This study is a(n)       (Survey, observational, experimental)     study. e) The ‘low sugar’ group can be thought of as a control group. The control group is being used in this experiment to avoid       (republication, confounding with…

what are the four imporatant sources of data?

As part of an evaluation program, a sport goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. The results are presented in miles per hour in Table 2 below. Table 2 Trial Connondale Kona Bike Bianch Orbea 43 37 41 43 46 38 45 45 3 43 39 42 46 The data collected was analyzed and Output 2 is shown below. Output 2 Source of Variation Bicydle Brands df MS F p-value 81.33 27.11 10.17 0.004 Error 21.33 2.67 Total 11 102.67 At the 0.01 level of significance, is there sufficient evidence to conclude that the mean of downhill coasting speeds is not the same for the four different brands of bicycles? (Use critical value method and P-value method)

iris is a built-in R data set (data frame). This data set contains gives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica. We are interested in some descriptive statistics related to the Sepal.Width column of the data frame. We can access the data directly by using the assignment x <- iris$Sepal.Width (In R use ?iris for info on this dataset.)Remember: x <- iris$Sepal.Widtha.Calculate the sample median of x. b. Using the R quantile function, find the .80 quantile of x.(80th percentile) c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 4% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 2.0 sample standard deviations from the sample mean i. Calculate the minimum…

Four different formulations of an industrial glue are being tested. Each of the different formulations were randomly applied to joint parts of five test specimen and the tensile strength of the glue when it is applied to each test specimen is recorded. However, the tensile strength is also related to the application thickness. The data on the strength (in lbs) and thickness (in 0.01 inches) are shown in the following table. Identify the treatment (specify levels), experimental units, concomitant variable, and response variable.

I need help with question 19 please

4.2#12 Amwser question 12

Number 14 parts d and e.

15. A study is conducted to compare mean cholesterol conventional (low-fat, low-calorie) diet for at least 6 months. The data are summarized in Table 7-59. levels for individuals following a low-carbohydrate diet for at least 6 months to individuals following a onventional (low-fat, low-calorie) diet for at least k months. The data are summarized in Table 7-59. Test if there is a significant difference in mean cho- lesterol levels between the diet programs using a 5% level of significance. 16. Another outcome variable in the study described in Problem 15 is hypercholesterolemia, defined as total cholesterol over 220. Among the individuals who follow the low-carbohydrate diet, 56% are hypercholesterolemic, and among the individu- als who follow the conventional diet, 40% are hypercholesterolemic. Test if there is a significant difference in the proportions using a 5% level of significance. 1 characteristics