A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is thestandard process used for several years, and Process 2 is an updated process hoped to bring a decrease in assembly time. Assemblytimes can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting 8 workers atrandom and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and therest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below.WorkerProcess 1Difference(Process 1 - Process 2)Send data to calculator VProcess 2HExplanation18468Check16264293538565204588 35713617 - 1(a) State the null hypothesis Ho and the alternative hypothesis H₁.662362678046348Based on these data, can the company conclude, at the 0.10 level of significance, that the mean assembly time for Process 1exceeds that of Process 2? Answer this question by performing a hypothesis test regarding μ (which is u with a letter "d"μsubscript), the population mean difference in assembly times for the two processes. Assume that this population of differences(Process 1 minus Process 2) is normally distributed.48Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal placesand round your answers as specified. (If necessary, consult a list of formulas.)462μ σрEspaño?BU▷AaCⒸ2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibi round your answers as specified. (If necessary, consult a list of formulas.)(a) State the null hypothesis Ho and the alternative hypothesis H₁.Ho :H₁:0(b) Determine the type of test statistic to use.Type of test statistic: (Choose one)(c) Find the value of the test statistic. (Round to three or more decimal places.)(d)Find the critical value at the 0.10 level of significance. (Round to three or more decimalplaces.)(e) At the 0.10 level, can the company conclude that the mean assembly time for Process 1exceeds that of Process 2?O Yes O NoExplanationCheck© 2022 McGraw Hill LLC. All Rights Reserved.

Given, This is a paired 't-test sample size,n= 8 Mean (d̄) =Σd/n = 149/8…

A computer manufacturer is interested in comparing assembly times for two keyboard assembly pro- standard process used for several years, and Process 2 is an updated process hoped to bring a decre times can vary considerably from worker to worker, and the company decides to eliminate this effect random and timing each worker on each assembly process. Half of the workers are chosen at randor rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is record 5 6 7 Worker Process 1 1 84 2 64 3 85 4 88 35 62 80 8 48

A computer manufacturer is interested in comparing assembly times for two keyboard assembly pro- standard process used for several years, and Process 2 is an updated process hoped to bring a decre times can vary considerably from worker to worker, and the company decides to eliminate this effect random and timing each worker on each assembly process. Half of the workers are chosen at randor rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is record 5 6 7 Worker Process 1 1 84 2 64 3 85 4 88 35 62 80 8 48

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter6: Linear Systems

Section6.8: Linear Programming

Problem 5SC: If during the following year it is predicted that each comedy skit will generate 30 thousand and...

See similar textbooks

Similar questions

2. Suppose that in Example 2.27, 400 units of food A, 500 units of B, and 600 units of C are placed in the test tube each day and the data on daily food consumption by the bacteria (in units per day) are as shown in Table 2.7. How many bacteria of each strain can coexist in the test tube and consume all of the food? Table 2.7 Bacteria Strain I Bacteria Strain II Bacteria Strain III Food A 1 2 0 Food B 2 1 3 Food C 1 1 1
If during the following year it is predicted that each comedy skit will generate 30 thousand and each musical number 20 thousand, find the maximum income for the year. A television program director must schedule comedy skits and musical numbers for prime-time variety shows. Each comedy skit requires 2 hours of rehearsal time, costs 3000, and brings in 20,000 from the shows sponsors. Each musical number requires 1 hour of rehearsal time, costs 6000, and generates 12,000. If 250 hours are available for rehearsal and 600,000 is budgeted for comedy and music, how many segments of each type should be produced to maximize income? Find the maximum income.
personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting12workers randomly and timing each worker in each assembly process. Half of the workers are randomly chosen to use Process 1 first, and the rest use Process 2 first. The assembly time (in minutes) of each worker and each process is recorded, as shown in the table below. Worker process 1 process 2 Difference (Process 1 - Process 2) Send data to calculator 0 1 71 79 2 52 52 -8 0 3 49 43 6 4 41 58 - 17 5 6 fifty 76 40 49 10 27 7 (to) Formulate the null hypothesish and the alternative hypothesish 1. :0 89 83 6 8 70 84 9 74 67 -4 17 μ XI 10 eleven 12 Based on these data, can the company conclude, at the significance level of0.05, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regardingμ (what isµwith…
An aircraft emergency locator transmitter (ELT) is a device designed to transmit a signal in the case of a crash. The Altigauge Manufacturing Company makes 80% of the ELTS, the Bryant Company makes 15% of them, and the Chartair Company makes the other 5%. The ELTS made by Altigauge have a 4% rate of defects, the Bryant ELTS have a 6% rate of defects, and the Chartair ELTS have a 9% rate of defects (which helps to explain why Chartair has the lowest market share). i) If an ELT is randomly selected from the general population of all ELTS, find the probability that it was made by the Altigauge Manufacturing Company. If a randomly selected ELT is then tested and is found to be ii) defective, find the probability that it was made by the Altigauge Manufacturing Company.
An aircraft emergency locator transmitter (ELT) is a device designed to transmit a signal in the case of a crash. The Altigauge Manufacturing Company makes 80% of the ELTS, the Bryant Company makes 15% of them, and the Chartair Company makes the other 5%. The ELTS made by Altigauge have a 4% rate of defects, the Bryant ELTS have a 6% rate of defects, and the Chartair ELTS have a 9% rate of defects (which helps to explain why Chartair has the lowest market share). a. If an ELT is randomly selected from the general population of all ELTS, find the probability that it was made by the Altigauge Manufacturing Company. b. If a randomly selected ELT is then tested and is found to be defective, find the probability that it was made by the Altigauge Manufacturing Company. c. What is the probablity that a randomly selected ELT is defective?
A scientist is interested in whether stretching before running 5 kilometers will improve a runner’s time. The scientist decides that an experimental study is the best method to use to answer the question. One group of runners will run a 5-kilometer race without stretching, and a second group of runners will follow a specific stretching routine before running the race. The finishing times will be recorded, along with the group type for each runner. The scientist is able to get 200 adults of varying running abilities to participate in the study. Describe a way that would assign people into the two groups that would allow the scientist to answer the question of interest. *THIS IS NOT GRADED**
Consider there are only two computer companies in a country. The companies are named “Dude” and “Imac”. Each year, company Dude keeps 1/5th of its customers, while the rest switch to Imac. Each year, Imac keeps 1/3rd of its customers, while the rest switch to Dude. If in 2002, Dude has 1/6th of the market and Imac has 5/6th of the market, what is the distribution of the market share between the two companies in 2003. (Hint: you can cast this as a matrix multiplication problem)
AJ’s sleep pattern had been fluctuating due to stress and diet, so he started to keep a diary of how many hours he slept each night. On the 4th night after he started the diary, AJ slept 9.4 hours, which was the most sleep he got any night. Gradually, he got less sleep each successive night until, on the 18th night after he started the diary, AJ slept 6.2 hours, which was the least sleep he got any night. After keeping his diary for 6 months, he realized that the number of hours he got each night followed a sinusoidal curve. Let t be the number of nights since he started his diary, and s be how many hours he slept that night. It may be helpful to draw a crude sketch of the sleep time function and label the known t − and s − values on it. POSITIVE or NEGATIVE SIN or COS Maximum s − value = Minimum s − value = ______________ ______________ Middle s − value = ______________ = D Amplitude = ______________ = A ⇒ B = ______________ Given the crude sketch of the height function, the…
RVW (Restored Volkswagens) buys 15 used VW's at each of two car auctions each week held at different locations. It then transports the cars to repair shops it contracts with. When they are restored to RVW's specifications, RVW sells 10 each to three different used car lots. There are various costs associated with the average purchase and transportation prices from each auction to each repair shop. Also there are transportation costs from the repair shops to the used car lots. RVW is concerned with minimizing its total cost given the costs in the table below. a. Given the costs below, draw a network representation for this problem. Used Car Lots L2 Repair Shops si 550 600 S2 500 LI L3 500 Auction 1 sI 250 300 Auction 2 450 S2 350 650 450 b. Formulate this problem as a transshipment linear programming model. Report the optimal solution using excel solver. с.
A manager believes that the introduction of a new model of keyboard for administrative staff will increase productivity. If productivity increases substantially, she will replace all the firm's current keyboards with the new models. To test this belief, she asked a sample of 12 administrative staff members to type a standard document on his/her old keyboard, and the number of words per minute were measured. After receiving the new keyboards and spending a few weeks becoming familiar with their operation, each employee then typed the same document using the new model of keyboard. Let Difference = New – Old. 1. This is an example of a: O a. One-sample z-test O b. One-sample t-test O c. One-sample proportion O d. Dependent samples t-test O e. Independent samples t-test 2. The test statistic value for this right-sided test is equal to 2.38. In which interval will the p-value of this hypothesis test fall? ) a. (0, 0.01) O b. (0.01, 0.05) OC. (0.05, 0.10) Od.(0.10, 1)
A psychologist at the Hospital was asked to determine whether there was any clear difference in the length of stay (in days) of patients with different categories of diagnosis. The hospital was looking for ways to reduce costs and free up some more beds so that they could treat more patients from the community. They chose three diagnostic categories that they thought were possibly staying the longest and selected the 4 more recent admissions from each of these diagnostic categories: affective disorders, cognitive disorders, and drug-related disorders. The results are presented in Table 3 below. Using an alpha = .05 and showing all the steps of hypothesis testing, is there a significant difference in length of stay among diagnosistic categories?
The compressors used in refrigerators are manufactured by XYZ Co. at three factories at New York , and California, It is known that the New York factory produces twice as many compressors as the California one, Which produces the same number as the California one (during the same period). Experience also shows That 0.2% of the compressors produced at New York and California are defective and so are 0.4% of these Produced at California. A quality control engineer while maintaining a refrigerator finds a defective compressor. What is the probability that the New York factory is not to be blamed.