Control chart transcript easily

Aug 6th, 2022
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How to control chart transcript

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hey there andy robertson here with cqe academy and in todays video i want to go through some of the fundamental concepts and control charts and then talk about one of the most popular control charts out there the x bar on our chart all right lets head over the computer and dive in all right lets go ahead and get into it what im showing here is kind of the agenda for todays lecture so im going to start with talking about the two types of variation so the beauty of a control chart is that it helps us distinguish between special and common cause variation thats exactly why we use them so i want to talk about what those things are and then were briefly going to talk about the key elements of control chart these are those unique features of a control chart that help us distinguish between normal and special cause variation and then theres a really important topic in control charts called rational subgrouping so i want to talk about that and then were going to go through both the

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The Rule of Seven as applied in Quality Management says that A run of seven or more consecutive points in a control chart, either above the mean, or below the mean, or continuously increasing or decreasing, may indicate the process may be out-of-control.
The three main components of an SPC chart are - a central line (CL) for the average, a lower control line (LCL) for the lower control unit, and an upper control line (UCL) for the upper control unit. SPC charts were initially developed by Dr. Walter A. Shewhart of Bell Laboratories in the 1920s.
Types of Control Charts X-Chart. X-Charts present variable data. P-Chart. P-Charts are used for data that is counted. NP-Chart. NP-Charts are used to present the number of nonconforming or conforming items. C-Chart. U-Chart. MR-Chart. Individual MR-Chart. Custom Data Control Chart.
Types of Control Charts X-Chart. X-Charts present variable data. P-Chart. P-Charts are used for data that is counted. NP-Chart. NP-Charts are used to present the number of nonconforming or conforming items. C-Chart. U-Chart. MR-Chart. Individual MR-Chart. Custom Data Control Chart.
All control charts have three basic components: a centerline, usually the mathematical average of all the samples plotted. upper and lower statistical control limits that define the constraints of common cause variations. performance data plotted over time.
The following rules can be used to properly interpret control charts: Rule 1 One point beyond the 3 control limit. Rule 2 Eight or more points on one side of the centerline without crossing. Rule 3 Four out of five points in zone B or beyond. Rule 4 Six points or more in a row steadily increasing or decreasing.
The control chart is a graph used to study how a process changes over time. Data are plotted in time order. A control chart always has a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit. These lines are determined from historical data.
The applications of control charts to accounting include internal auditing, customer billing, and tax return preparation.
All control charts have three basic components: a centerline, usually the mathematical average of all the samples plotted. upper and lower statistical control limits that define the constraints of common cause variations. performance data plotted over time.
All Control Charts Contain: a centerline. upper and lower control limits. a scale on y-axis to define values.

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