Exam 14: Business Analytics

Which of the following investigates what should occur and suggest the best course of action for the future?

SCENARIO 14-1 The table below contains the sparklines for the rates of return (in percentage) for three different stocks from 2007 to 2013. -Referring to SCENARIO 14-1, the rates of return of stock have the smallest variation among the three.

SCENARIO 15-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits.The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours.The sample mean and range for each hour are listed below. 1 18.4 25 2 16.9 27 3 23.0 30 4 21.2 23 5 21.0 24 6 24.0 25 7 19.3 12 8 15.8 14 9 20.0 13 10 23.0 11 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. -Referring to SCENARIO 15-4, what is the value of the CPU index?

Which of the following is a method for breaking process into a series of steps in order to eliminate defects and produce near perfect results?

The SS method involves methods that enable participants to reduce setup time for equipment and resources and materials needed for changeover.

Successful implementation of a classification tree requires objective criteria for splitting the data at each node based on a dependent variable.

The prescriptive analytics technique in which the decision maker repeatedly runs a predictive analytics model while varying the assumptions or data in the model to create a set of results that offer choices about the business process being modeled is called simulation.

SCENARIO 15-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits.The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours.The sample mean and range for each hour are listed below. 1 18.4 25 2 16.9 27 3 23.0 30 4 21.2 23 5 21.0 24 6 24.0 25 7 19.3 12 8 15.8 14 9 20.0 13 10 23.0 11 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. -Referring to SCENARIO 15-4, suppose the supervisor constructs an X chart to see if the process is in-control.What are the lower and upper control limits of this chart?

Splitting is always followed by pruning in a classification tree.

SCENARIO 15-8 Recently, a university switched to a new type of computer-based registration.The registrar is concerned with the amount of time (hours) students are spending on the computer registering under the new system.She decides to randomly select 8 students on each of the 12 days of the registration and determine the time each spends on the computer registering.The range, mean, and standard deviation of the times required to register are in the table that follows. 1 10 5.250 3.4949 2 31 15.250 10.3060 3 13 20.375 4.9262 4 21 22.875 8.3911 5 35 8.500 11.3767 6 18 7.875 6.9372 7 25 11.250 8.5815 8 30 7.875 9.5235 9 17 10.250 6.3640 10 22 9.500 7.8740 11 27 7.875 8.7086 12 26 12.875 9.3723 -Referring to SCENARIO 15-8, an R chart is to be constructed for the time required to register.The center line of this R chart is located at _.

The focus of Lean Six Sigma is on removing non-value added steps and waste which can exist in any part of an organization.

SCENARIO 15-4 A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds) is too erratic and adversely affects expected profits.The supervisor proceeds by randomly sampling 5 individuals per hour for a period of 10 hours.The sample mean and range for each hour are listed below. 1 18.4 25 2 16.9 27 3 23.0 30 4 21.2 23 5 21.0 24 6 24.0 25 7 19.3 12 8 15.8 14 9 20.0 13 10 23.0 11 She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds, respectively. -Referring to SCENARIO 15-4, suppose the supervisor constructs an X chart to see if the process is in-control.What is the center line of the chart?

Some business analytics involve starting with many variables, followed by filtering the data by exploring specific combinations of categorical values or numerical range.In Excel, this approach is mimicked by using a drill-down.

SCENARIO 15-9 The manufacturer of canned food constructed control charts and analyzed several quality characteristics.One characteristic of interest is the weight of the filled cans.The lower specification limit for weight is 2.95 pounds.The table below provides the range and mean of the weights of five cans tested every fifteen minutes during a day's production. Number XBar Range Number XBar Range 1 3.05072 0.0215 16 3.04646 0.073 2 3.01228 0.087 17 3.03868 0.0696 3 3.03558 0.0851 18 3.03338 0.0329 4 3.01014 0.0674 19 3.03322 0.0455 5 3.00858 0.0983 20 3.05078 0.0215 6 3.02704 0.0527 21 3.04808 0.0396 7 3.04268 0.0508 22 3.05348 0.0581 8 3.01052 0.0791 23 3.05516 0.0682 9 3.03464 0.0663 24 3.03426 0.0325 10 3.02034 0.0538 25 3.0516 0.0641 11 3.03764 0.0584 26 3.05562 0.0809 12 3.0409 0.0434 27 3.04402 0.0374 13 3.0519 0.0762 28 3.06458 0.0284 14 3.03994 0.0833 29 3.0544 0.0738 15 3.03788 0.0601 -Referring to SCENARIO 15-9, an R chart is to be constructed for the weight.The upper control limit for this data set is .

Quick Changeover Techniques involve methods that enable participants to reduce setup time for equipment and resources and materials needed for changeover.

Neural networks use the validating data to uncover a model and then the training data to see if the model can make the correct prediction or classification.

In multidimensional scaling, the stress statistic is used to measure the distance between objects.

A master black belt is among the tools of Lean Six Sigma.

The purpose of a control chart is to eliminate common cause variation.

Mistake Proofing (Poke-Yoke) devices focus on preventing the causes of defects.