Optics Manufacturing In the late 90’s Kodak was bidding for a

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Get college assignment help at uniessay writers Optics Manufacturing In the late 90’s Kodak was bidding for a contract with a major research facility on the West Coast to build large-scale optics for the National Ignition Facility. This optics were roughly two feet by two feet and had to be of extremely high quality. My role in this contract proposal was to analyze the flow of the product as it went though the manufacturing line. For this exercise, we will take a look at four major steps in this process, and use simulation to determine the average length of time it takes a single optic to flow through the manufacturing line. This objective was one of many objectives the original analysis was to achieve. We will assume that there is no queuing and that there are sufficient resources to perform the operations. The four key operations are shown below and the assumed probability distributions for each operation. These operations are done in series; i.e., done sequentially. Perform the simulation with 50 iterations and compute the average service (time to complete an optic) for all 50 iterations from Grinding through Cleaning. Operation Time Required Probability Grinding 5 min 0.20 7 min 0.40 10 min 0.40 Machining 10 min 0.20 20 min 0.40 30 min 0.30 50 min 0.10 Polishing 15 min 0.4 20 min 0.4 30 min 0.2 Cleaning 10 min 0.30 15 min 0.40 20 min 0.30 Do the simulation in a similar fashion as was done for the example problems. It would be best to do the simulation using Excel. You have four operations in series, so you would have four different distributions, four different random numbers and four columns of computed times, the sum of which is equal to the service time for that particular iteration

a researcher can test at the <p = .05 (95%), p

a researcher can test at the <p = .05 (95%), p = .01 (99%), or p = .001 (99.9%) level for statistical significance, how do you use these three levels in relationship to evaluate risk to patients

Do students at various universities differ in how sociable they are?

Do students at various universities differ in how sociable they are? Twenty-five students were randomly selected from each of three universities in a region and were asked to report on the amount of time they spent socializing each day with other students. The result for University X was a mean of 5 hours and an estimated population variance of 2 hours; for University Y, ; and for University Z, . What should you conclude? Use the .05 level. (a) Use the steps of hypothesis testing, (b) figure the effect size for the study; and (c) explain your answers to parts (a) and (b) to someone who has never had a course in statistics

2. The commuting times of a sample of 30 Berkeley students

2. The commuting times of a sample of 30 Berkeley students are measured and the average value observed is 22 minutes. Compute a 99 percent two-sided confidence interval for the mean commuting time if the population variance is not known, but the sample variance is 4.2 minutes^2″

conduct a marketing experiment in which students are to taste 1

conduct a marketing experiment in which students are to taste 1 of 2 different soft drinks. Their task is to correctly identify the brand tasted. You select a random sample of 200 students and assume that the students have no ability to distinguish between the two brands. (hint, if an individual has no abillity to distinguish betweeen the two sofft ). A) what is the probability that the sample will have between 50% and 60% of the identificaton B) the probability is 90% that the samle percentage is contained withinwhat symmetrical limits of the population percentage?

Quality characteristic of filling teabags- The label weight on the package

Quality characteristic of filling teabags- The label weight on the package indicates that the mean is 5.5 grams of tea per bag. If the bags are under filled two problems arise. First, customer tea will no be as strong. Second, company could be in violation of the truth and lending law. If the mean amount exceeds the label weight the company is giving away product. Getting an exact amount is a problem because of the variations in temperatures ands humidity. About 170 bags per minute are filled. The following data (stored in the Teabags) are the weights, in grams, of a sample of 50 tea bags produced in one hour by one machine: 5.25 5.42 5.49 5.54 5.58 5.29 5.42 5.50 5.54 5.58 5.32 5.44 5.50 5.55 5.61 5.32 5.44 5.50 5.55 5.61 5.34 5.44 5.51 5.56 5.62 5.36 5.45 5.52 5.56 5.63 5.40 5.45 5.53 5.57 5.65 5.40 5.46 5.53 5.57 5.67 5.40 5.47 5.53 5.57 5.67 5.41 5.47 5.53 5.58 5.77 a. Construct a 99% confidence interval estimate for the population mean weight of the tea bags. b. Is the company meeting the requirement set fourth on the label that the mean of tea in a bag is 5.5 grams? c. Do you think the assumption needed to construct the confidence interval estimate in (a) is valid.

Judy’s measured potassium level varies according to the Normal distribution with

Judy’s measured potassium level varies according to the Normal distribution with mean = 3.8 and standard deviation = .2. A patient is classified as hypokalemic if the potassium level is below 3.5. (a) If a single potassium measurement is made, what is the probability that Judy is diagnosed as hypokalemic? (b) If measurements are made instead on 4 separate days and the mean result is compared with the criterion 3.5, what is the probability that Judy is diagnosed as hypokalemic?

Accu-Copiers, Inc. sells and services the Accu-500 copying machine. As part

Accu-Copiers, Inc. sells and services the Accu-500 copying machine. As part of its standard service contract, the company agrees to perform routine service on this copier. To obtain information about the time it takes to perform routine service, Accu-Copiers has collected data for 11 service calls. The service calls information revealed the following: Refer to the MegaStat output below to answer questions A through G. (A) Analyze the above output to determine the regression equation. (10 points) (B) What conclusions are possible using the meaning of b0 (intercept) and b1 (regression coefficient) in this problem? (That is, explain the meaning of the coefficients.) (10 points) (C) What conclusions are possible using the coefficient of determination (r-squared)? (D) Calculate the coefficient of correlation. Interpret this value. (6 points) (E) Does this data provide significant evidence (a=0.05) that the time to perform routine services is associated with the number of copiers serviced? Find the p-value and interpret. (6 points) (F) Predict the average number of minutes required to service four copiers. (6 points) (G) What is the 95% confidence interval for the number of minutes required for four copiers requiring service? What conclusion is possible using this interval? (6 points) (Points: 50)

5. (TCO E and F) The U.S. Navy selected 16 hospitals

5. (TCO E and F) The U.S. Navy selected 16 hospitals that it believes to be efficiently run and conducted a regression analysis to evaluate the performance of its hospitals in terms of how many labor hours are used relative to how many labor hours are needed. The variables assigned for this analysis are: y = monthly labor hours required x1 = monthly X-ray exposures x2 = monthly occupied bed days (a hospital has one occupied bed day if one bed is occupied for an entire day) x3 = average length of patients’ stay (in days) Refer to the MegaStat output below to answer these questions A through D. (A) Analyze the above output to determine the multiple regression equation. (10 points) (B) What conclusions are possible using the result of the global usefulness test (F test)? (10 points) (C) What conclusions are possible using the results of the t-tests of the independent variables (alpha = 0.05). Does this data provide significant evidence (alpha = 0.05) that the monthly labor hours required is associated with monthly X-ray exposures and/or monthly occupied bed days and/or average length of patients’ stay (in days)? Find the p-values and interpret. (10 points) (D) Using the table below, predict the monthly labor hours required when the X-ray exposures are 56,194, the bed days are 14,077.88, and the average length of patients’ stay is 6.89. (10 points)

I just need a simple completely randomized experiment design for a

I just need a simple completely randomized experiment design for a basic stat class. It needs only 2 treatment. i attache the document. just answer for the paragraph 1

The U.S. Navy selected 16 hospitals that it believes to be

Get college assignment help at uniessay writers The U.S. Navy selected 16 hospitals that it believes to be efficiently run and conducted a regression analysis to evaluate the performance of its hospitals in terms of how many labor hours are used relative to how many labor hours are needed. The variables assigned for this analysis are: y = monthly labor hours required x1 = monthly X-ray exposures x2 = monthly occupied bed days (a hospital has one occupied bed day if one bed is occupied for an entire day) x3 = average length of patients’ stay (in days) Refer to the MegaStat output below to answer these questions A through D. (A) Analyze the above output to determine the multiple regression equation. (10 points) (B) What conclusions are possible using the result of the global usefulness test (F test)? (10 points) (C) What conclusions are possible using the results of the t-tests of the independent variables (alpha = 0.05). Does this data provide significant evidence (alpha = 0.05) that the monthly labor hours required is associated with monthly X-ray exposures and/or monthly occupied bed days and/or average length of patients’ stay (in days)? Find the p-values and interpret. (10 points) (D) Using the table below, predict the monthly labor hours required when the X-ray exposures are 56,194, the bed days are 14,077.88, and the average length of patients’ stay is 6.89. (10 points)

he length of a Colorado brook trout is normally distributed. Required:

he length of a Colorado brook trout is normally distributed. Required: What is the probability that a brook trout’s length, a. exceeds the mean? b. exceeds the mean by at least 1 standard deviation? c. exceeds the mean by at least 2 standard deviations? d. is within 2 standard deviations?

Roll a balanced 8-sided dice and a balanced 6 sided die

Roll a balanced 8-sided dice and a balanced 6 sided die and add the spots on the up-faces . Call the sum X. What is the probability distribution of the random variable X

5000 light bulbs each with an average life of 500 hours,

5000 light bulbs each with an average life of 500 hours, standard deviation is 100 hours. find the percentage of bulbs that can be expected to last between 540 hours and 780 hours

I need questions 2, 4, 10, and 18 (Chapter 12) done.

I need questions 2, 4, 10, and 18 (Chapter 12) done. And I need 4, 14, 16, 20, and 26 (Chapter 13) done by 12:00 AM CST. Please send homework to Homeworkhelp72@hotmail.com (in Rich Text Format). Thanks.

A normal population has a mean of 80.0 and a standard

A normal population has a mean of 80.0 and a standard deviation of 14.0. A. Compute the probability of a value between 75.0 and 90.0. B. Compute the probability of a value 75.0 or less. C. Compute the probability of a value between 55.0 and 70.0.

A nurse measured the blood pressure of each person who visited

A nurse measured the blood pressure of each person who visited her clinic. Following is a relative frequency histogram for the systolic blood pressure readings for those people aged between 25 and 40. Use the histogram to answer the question. The blood pressure readings were rounded to the next higher whole number. Given that 800 people were aged between 25 and 40, approximately how many had a systolic blood pressure reading greater than 140 and less than or equal to 150? a. 8 b. 6 c. 64 d. 640

Of 44 bank customers depositing a check, 19 received some cash

Of 44 bank customers depositing a check, 19 received some cash back. (a) Construct a 90 percent confidence interval for the proportion of all depositors who ask for cash back. (Round your answers to 4 decimal places.)

A brand name as a 60% recognition rate. If the owner

A brand name as a 60% recognition rate. If the owner of the brand wants to verify that rate by beginning with a small sample of 5 randomly selected consumers, find the probability that exactly 3 of the 5 consumers recognize the brand name. Also find the probability that the number who recognize it is not 3.

Transworld Moving has been hired to move the office furniture and

Transworld Moving has been hired to move the office furniture and equipment of Cohen properties

2. The time between surface finish problems in galvanizing process is

2. The time between surface finish problems in galvanizing process is exponentially distributed with a mean of 40 hours. A single plant operates three galvanizing lines that are assumed to operate independently. a. What is the probability that none of the lines experiences a surface finish problem in 40 hours of operation. b. What is the probability that all three lines experience a surface finish problem between 20 and 40 hours of operation.

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