Control Charts and Statistical Process Control

Control Charts and Statistical Process Control

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This tutorial covers the construction and analysis of an x-bar control chart. It begins with an introduction to statistical process control and the components of a control chart, including the centerline and control limits. The video explains how to calculate control limits using the range, and demonstrates data collection and calculation of R-bar and x-double bar. It also shows how to find the A2 factor and calculate the upper and lower control limits. Finally, the tutorial guides viewers through plotting the x-bar chart and analyzing the results to determine if the process is in statistical control.

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15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary objective of constructing an x-bar chart?

To find the standard deviation of the process

To calculate the mean of the sample means

To identify the largest sample range

To determine if the process is in statistical control

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the centerline of an x-bar chart known as?

A2

X-double bar

R-bar

UCL

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which component is NOT part of a control chart?

Upper control limit

Standard deviation line

Lower control limit

Centerline

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is used to calculate the control limits in this tutorial?

Process mean

Sample size

Sample range

Standard deviation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the sample size used in the process data for this x-bar chart?

3

5

7

10

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the range for a sample calculated?

Largest value minus smallest value

Sum of all values

Average of all values

Smallest value minus largest value

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the value of R-bar calculated in the tutorial?

13

497.8

23.1

231

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