R Chart with probability limits

In summary, the conversation is about using probability limits with a certain alpha value and calculating control limits for X and R charts. The sample size is 5 and the person is confused about where to get the value of W from and how to calculate R limits.
  • #1
abhipatel
30
0
Am all confused...W is the relative range right?
Where do we get the value of W from - which table... proff got
W0.999 = 5.483754 & W 0.001 = 0.367392
(Que: Suppose we want to use probability limits with α = 0.002...sample size is 5)
Please help & explain.
 
Physics news on Phys.org
  • #2
I have no idea what you are talking about. Please try and formulate your question in a more understandable way.
 
  • #3
Suppose we want to use probability limits with α = 0.002. What are the control limits for theX and R charts?

Sample size is 5...All I want is how do we calculate R limits

Solution : W 1 - α/2 = W0.999 = 5.483754

Just want to know what table he has referred to get this answer?
 

FAQ: R Chart with probability limits

What is an R Chart with probability limits?

An R Chart with probability limits is a type of control chart used in statistical process control. It is used to monitor a process over time by plotting the ranges of a sample of data collected from the process.

How is an R Chart with probability limits used?

An R Chart with probability limits is used to determine whether a process is in control or experiencing random variation. It helps identify any changes or trends in the process that could affect the quality of the output.

What are probability limits in an R Chart?

Probability limits in an R Chart are calculated based on the standard deviation of the sample data. They represent the expected range of variation in the process, assuming it is in control and experiencing random variation.

How are probability limits calculated in an R Chart?

Probability limits in an R Chart are typically calculated using the following formula: Upper Limit = X̅ + 3R and Lower Limit = X̅ - 3R, where X̅ is the mean of the sample data and R is the range of the sample data.

What is the purpose of using probability limits in an R Chart?

The purpose of using probability limits in an R Chart is to determine whether a process is in control or experiencing non-random variation. By comparing the sample ranges to the probability limits, any unusual patterns or trends in the process can be identified and addressed to improve the quality of the output.

Similar threads

I Taking socks out of drawers, conditional probability
2
Replies
36
Views
4K
I Adding random numbers: Tolerance analysis
Replies
11
Views
2K
A Interpreting Chi Squared .... backward
Replies
20
Views
3K
B Chi-squared test stat choosing a critical value
Replies
5
Views
3K
B Does a correlation coefficient represent probability?
Replies
4
Views
6K
MHB Where Did the Monte Carlo Simulation Go Wrong?
Replies
1
Views
1K
Solving Quality Control Chart Upper & Lower Limit with R
Replies
1
Views
2K
A Connectedness of Boundary Points in Schwarzschild Penrose Chart
Replies
7
Views
1K
The Probability of Ruin Matrix - How to calculate?
Replies
1
Views
5K
How Can We Estimate Sampling Probability from Sales Data?
Replies
1
Views
2K

Hot Threads

Recent Insights

Back
Top