for steven week 10

[Week 10 PPT & Video] A student weighs themselves 3 times per day. The student has collected this data every day for 35 days. The student plots a summary of their weight once per day. The sample size (n) that will be used when calculating control limits is: 35 3 70 11.600 20

Correct! 3

[Week 10 PPT & Video] According to the Normal Z-Table shown above, the probability that a sample from a normal distribution will naturally be observed to be LESS THAN (below) 2.68 Standard Deviations ABOVE the mean is: 49.6319 % 99.6319 % 149.6319 % 50.3681 % 0.4963 % 0.9963 % 0.5037 % 0.3681 % 0.0037 %

Correct! 99.6319 %

[Week 10 PPT & Video] According to the Normal Z-Table shown above, the probability that a sample from a normal distribution will naturally be observed to be LESS THAN (below) 3.19 Standard Deviations ABOVE the mean is: 0.4993 % 149.9289 % 0.5007 % 0.9993 % 0.0007 % 0.0711 % 49.9289 % 50.0711 % 99.9289 %

Correct! 99.9289 %

[Week 10 PPT & Video] You would like to track the number of days it takes for your company to process an order. Each day, you choose 4 random orders from that day and note the number of days each order has been in your order system. You plot one data point that represents these 4 random orders on a control chart(s). Select the type of chart(s) you will use: Averages Chart Only Individuals and Moving Ranges Charts Ranges Chart Only Averages and Ranges Charts Moving Ranges Chart Only Individuals Chart Only

Correct! Averages and Ranges Charts

[Managing Variability Article] Motorola promoted bringing its process capability up to: Cpk = 12 Cpk = 6 Cpk = 0 Cpk = 1 Cpk = 2

Correct! Cpk = 2

[Week 9 PPT & Video] For the purposes of our class, the following is the ONLY way to determine if there is a Special Cause of Variation present (the process is experiencing an out of control condition) on a Control Chart: There is one point that is higher than all the others The data has several points that are above average One point is located near the Upper Control Limit One or more of the "Control Chart Rules" are violated There is one point above average followed immediately by one point that is below average

Correct! One or more of the "Control Chart Rules" are violated

[Week 10 PPT & Video] One of the disadvantages of using Control Chart Software to create control charts is: The charts that are created by software are configured strangely and difficult to evaluate Operators do not have an incentive to actually look at the charts that are created Software requires specialized computer hardware that is too large to fit into most production spaces Software usually has issues with accuracy

Correct! Operators do not have an incentive to actually look at the charts that are created

[Week 9 PPT & Video] Within the following chart, the FIRST point that has most likely been influenced by a Special Cause of Variation ("Out of Control") is: Point 19 Point 12 Point 8 Point 15 Point 9 There are NO points that have likely been influenced by a Special Cause of Variation Point 3 Point 11 Point 13 Point 6 Point 14 Point 7 Point 1 Point 17 Point 2 Point 16 Point 10 Point 4 Point 18 Point 5

Correct! Point 14

[Week 9 PPT and Video] Within the following chart, the FIRST point that has most likely been influenced by a Special Cause of Variation ("Out of Control") is: Point 15 Point 4 Point 7 Point 1 Point 18 Point 14 Point 2 Point 10 Point 19 Point 6 Point 13 Point 3 Point 11 Point 9 There are NO points that have likely been influenced by a Special Cause of Variation Point 5 Point 8 Point 12 Point 16 Point 17

Correct! Point 7

[Week 10 PPT and Video] A principal methodology for the reduction variation is: Six Sigma Consistent Management Practice Automation Machine Learning Rigorous Job Training

Correct! Six Sigma

[Week 9 PPT and Video] Within the following chart, the FIRST point that has most likely been influenced by a Special Cause of Variation ("Out of Control") is: Point 12 Point 1 Point 7 Point 2 Point 3 Point 14 Point 9 Point 16 Point 4 Point 6 Point 11 Point 8 Point 19 Point 17 There are NO points that have likely been influenced by a Special Cause of Variation Point 5 Point 13 Point 10 Point 18 Point 15

Correct! There are NO points that have likely been influenced by a Special Cause of Variation

[Week 9 PPT and Video] Within the following chart, the FIRST point that has most likely been influenced by a Special Cause of Variation ("Out of Control") is: Point 4 Point 2 Point 8 Point 16 Point 10 There are NO points that have likely been influenced by a Special Cause of Variation Point 19 Point 3 Point 13 Point 11 Point 18 Point 14 Point 7 Point 1 Point 12 Point 9 Point 15 Point 5 Point 17 Point 6

Point 4

[Managing Variability Article] W. Edwards Deming distinguishes between good quality and bad quality small problems and large problems management and subordinates common causes and special causes manufacturing and services

common causes and special causes

[Week 10 PPT & Video] According to the Normal Z-Table shown above, the probability that a sample from a normal distribution will naturally be observed to be HIGHER (greater than) the upper control limit is: 0.135% 99.865% 99.7% There is not enough information to calculate this probability 0.3% 0.49865% 49.865% 1.35%

0.135

[Week 10 PPT & Video] A local government building inspector has mandated that the ceiling height MUST be 96 +/- 3 Inches in order to pass inspection. The construction worker has been measured to install ceilings with a Standard Deviation of 0.4 Inches. The construction manager has instructed the construction worker to install ceilings that are 95.5 Inches high. What is the current process capability of the construction worker, if the worker follows the construction manager's instructions, to pass the government ceiling height inspection? 2.0833 2.9167 1.2500 1.0417 0.0556 0.0278 2.5000 1.4583

2.0833

[Week 9 PPT & Video] When at least one of the "Control Chart Rules" [from the Handout] is identified on a control chart, this means that there is less than a 0.3% chance of that event occurring and thus, The process is clearly in control if all the data points are within the control limits. The highest point in the control chart should be investigated as being unusual. The process will never experience a point higher than the highest point visible in the control chart. The process will never experience a point lower than the lowest point visible in the control chart. This process is clearly out of control - there was a common cause of variation present. This process is clearly out of control - there was a special cause of variation present. The process is clearly in control - there are only special causes of variation present. The lowest point in the control chart should be investigated as being unusual.

Correct! This process is clearly out of control - there was a special cause of variation present.

[Memory Jogger II] A Run Chart allows a team to study process performance for trends or patterns over: a specified group of products a specified period of time a specified distance a specified group of companies a specified group of people

Correct! a specified period of time

[Memory Jogger II] The USL and LSL are based upon: statistics six sigma the capacity of the process the control limits customer requirements

Correct! customer requirements

[Week 10 PPT and Video] Six Sigma quality expects that a process will result in less than 3.4 defects per million opportunities because it assumes: that the process will be adjusted each time a defect is discovered that successive inspection is used in the process that the process is trying to control the number of spelling errors within the books of a library that less than 4 defects per million is "good enough" for most production processes that the process could drift (or walk) as much as 1.5 Sigma from the process target

Correct! that the process could drift (or walk) as much as 1.5 Sigma from the process target

[Managing Variability Article] The probability that a sample falls outside the control limits due to natural variation is called the probability of six sigma error unintended quality principle the probability of assurance type I error type II error

Correct! type I error

Managing Variability Article] The following is a TRUE statement from the Managing Variability Article: Correct! There is some amount of natural variability in any process, and the best we can do is to control this variation. There is some amount of natural variability in any process, and automation removes all of this variability. There is no natural variability in any process, therefore, we must strive to create variability using data analysis. There is some amount of natural variability in any process, and the best we can do is amplify this variation. There is some amount of variability in any process, and this variability is caused by lack of training.

There is some amount of natural variability in any process, and the best we can do is to control this variation.

[Managing Variability Article] We call a process "stable" if: the process outcomes fluctuate within the Specification Limits. there are no changes in the underlying process or in how it is being operated over time. the process average never changes. the process is performed by an automated machine. the process standard deviation never changes.

there are no changes in the underlying process or in how it is being operated over time.