Control chart deed easily

Aug 6th, 2022
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How to control chart deed

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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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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.
Rule of Seven Tests The tests state that an out of control situation is present if one of the following conditions is true: 1) Seven points in a row above the average, 2) Seven points in a row below the average, 3) Seven points in a row trending up, or 4) Seven points in a row trending down.
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.
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.
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.
The Xbar-R Chart This is the most common type of Statistical Process Control chart. Operators can use the Xbar and range chart to monitor a variables data. This is particularly useful when the sample size is small on constant, as they must be collected at regular intervals.
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.
Four types of control charts exist for attribute data. P charts plot the proportion of defective items, and np charts are for the number of defectives. U charts are for the average number of defects per unit, and C charts are for the number of defects.
All Control Charts Contain: a centerline. upper and lower control limits. a scale on y-axis to define values.

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