Questions tagged [quality-control]
Quality Control relates to statistical methods used for monitoring, maintaining, and/or improving either the statistical quality control of a process or the capability of a process. Use for questions about 6 sigma.
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Probability of detecting a shift in fraction nonconforming control chart
I try to solve a problem (number 7.7) in the 6-th edition of the book 'Statistical Quality Control, a modern introduction' of Douglas Montgomery. Here is the statement:
A control chart indicates that ...
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Data Quality check in time series data
I have time series data. The table contains date, no of orders, no of products sold, no of returns, no of walk in customers, etc. I want to create a model which takes 12 months of data as input and ...
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The link between AQL, RQL and the reliability of a process
The problem is to distinguish between the definitions of AQL, RQL and reliability in the field of quality control. Let us just pose the context. We wish to calculate the reliability of a manufacturing ...
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Does the rules "7 or more consecutive points on one side" in Statistical Process Control take in account the amount of data point?
I'm reading on Control chart rules and there is a rule which says: "7 or more consecutive points on one side" in considered "out of control". However, does it take into account the ...
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Statistical Quality Control methods for data quality
I had a minor course in Statistical Quality Control (SQC) for manufacturing industries. Here I learnt about Exponential Weighted Moving average Charts, X-bar R charts and CUSUM charts to name a few. ...
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Difference between anomaly detection and data quality check
I am a beginner in ML and in my company i have been asked to come up with models that can check if there are data quality issue in any given table. It will be an unsupervised learning task and I only ...
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How to apply Bayesian statistics to this (general) Quality Control problem
This more an academic question than practical. I like that ;)
I have been thoroughly trained in frequentist statistics. Zealously, actually - to the point that no one even told me it’s called “...
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What does the quality of representation of a variable mean in PCA?
I understand that the quality of representation of an individual by a certain axis is measured by the cosine of the angle between the axis and the individual; the more the vector representing the ...
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Control Chart: Nelson alternating rule
The Nelson rules for control charts describe patterns, which are "special" and need our attention. One of these rules is the "alternation rule". According to Nelson it is "...
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What is the proper test to determine if a result is above the normal set of values?
I'm a chemist who has been asked to put my statistics hat on, and I'm looking for some help.
Situation: Every month we get a report with the number of guest complaints for each item we sell. Each ...
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Repeats vs Replications
I've seen e.g. the minitab explanation on this topic which isn't bad but though, in the end, I can't explain which statistical term or the like I would (or could) investigate with each of them.
I ...
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Multiple Comparisons Problem in Control Charts
I have been taught control charts (or Shewhart charts) as a statistical tool to detect processes which are out of control. One particular case was by taking $k$ samples of size $n$ from a process over ...
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Anomalies detection algorithms
I would like to detect drastic uptrend changes in a bunch of different systems faults counts through a certain number of weeks.
My data looks like this:
And I would like to know what would be the ...
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Experiment design useful when objects change / will be replaced in each trial run?
I want to perform some studies on how material thickness, type of material, humidity and temperature influence tensile strength.
While I was thinking about useful designs I was wondering whether a ...
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Average Sample Size For Curtailed Double Sampling Plan
I am currently implementing double sampling. The goal is to accept or reject a lot by only sampling a few instances from it. In a two-stage testing procedure (double sampling) one first draws a ...
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Packages for experiment design with multiple levels?
I'm aware of e.g. FrF2 which allows to create 2-level experiment designs. I'm also aware of e.g. gen_design or optFederov which seem to consider multiple levels but when using these I always receive ...
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Does it make sense to calculate Relative Standard Error using population parameters?
Relative Standard Error (RSE) is one of the main measures to assess the quality of survey indicators. If only sample data are available, RSE can be computed using estimated mean $\bar{y}$ and ...
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What is the rationale of using 2.66 times moving range for control limits in individual control charts?
The Wikipedia says "If the data are normally distributed with standard deviation $\sigma$ then the expected value of $\overline {MR}$ is $d_{{2}}\sigma =2\sigma /{\sqrt \pi }$."
https://en....
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How many values should one validate to achieve a desired confidence?
If I have a set of 100 values which have been programmatically calculated and I would like to validate those calculations by performing them manually, how many manual calculations would I need to do ...
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determining the sample size for quality test
It has been a long time since I did statistics in uni and I have a "simple problem" that I need solving.
I need to determin for a sample size for a limited population of documents ( lets say ...
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What are the suitable methods for statistical process control with non normally distributed data such as proportion?
Is there anyone familiar with statistical process control charts?
The usual control limits +-3SD are based on normal distribution. What are the common methods for dealing with non-normally distributed ...
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What are the best-practices for validating phone records? [closed]
I have a bunch of telephone data including information on call start time, end time, and duration. I am trying to evaluate the quality of the dataset to determine if the phone call data are legitimate ...
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How to determine the lifetime?
I want to determine the average expected lifetime of devices of which I have data.
This data comprises ~4500 generators of which ~3800 died and the others are still alive. Furthermore, I have ...
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Using standard deviation to calculate Control Limits for Individual Control Chart
To compute the control limits using the 3 sigma rule, the standard deviation is usually approximated by the formula:
$\sigma=\frac{\overline{MR}}{1.128}$,
where
$\overline{MR}$ is the average of all ...
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Is it better to use the prediction interval or the RMSE?
I use a measurement technique $X$ to assess if a good is within production specifications during its manufacturing. $X$ is slow but precise. I wish to find out if I can use a measurement technique $Y$ ...
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three sigma vs six sigma
I wonder about the meaning of the term six sigma. It describes a process/production with (mostly) zero defects. You can see here:
source: https://www.dummies.com/article/business-careers-money/...
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How to estimate probable response times, from previous samples?
I'm a IT manager that deals with delays from various departments in a purchase process. In a given phase we have 25 handovers and thus 25 response times. So many variable times (and without SLA) ...
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Which control charts to use to track mortality
I am trying to implement control charts in my organization (healthcare) to track various quality outcomes. The first one i want to do is mortality( # patient deaths/ month(or week) ). I have a data ...
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Sample size and type of hypothesis test for QC of products (frozen cattle embryos)
I have a question regarding sample size and type of hypothesis test to be used.
I am currently working on buying beef cattle embryos from overseas. The livestock department in my country is going to ...
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Why does the X-bar control chart not use control limits from the t distribution
In univariate statistical process control, for the $\bar{X}$ chart with $n$ subgroups each of $m$ samples, we calculate the center line, upper and lower control limits using this equation (1):
Here, $...
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Find control chart limits based on existing data
I'd like to produce a control chart that tells me if a given process will be within bounds in the future or not.
Currently, the process gives me simple timeseries data, per minute
...
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Hotelling T squared seemingly useless at detecting a mean shift
I am trying to develop a single-sample Hotelling $T^2$ test in order to implement a multivariate control chart, as described in Montgomery, D. C. (2009) Introduction To Statistical Quality Control, ...
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statistical process control for non normal time series
Let us say I have several KPI measurements per month. There may be different numbers of measurements per month but there are more than 30. The monthly distributions do not look normally as shown in ...
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XmR charts for several measures at the same day/month
Xmr charts are often used in statistical process control (see for example). They make sense, but I wonder what one does, if one has several measure per day/month etc. Should one just use the average (...
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Setting limits for process control of low probability error
I have a process which produces plastic parts. I have a requirement that states that the weight shall be > x grams. So far I have measured each individual part produced (around 250 pieces) and ...
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How to find value of omega in CUSUM?
I am trying to understand CUSUM or Cumulative Sum Control Chart.
In the example on above linked Wikipedia page, the formula for high CUSUM value indicating positive ...
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Using an old trained model on a new data - comparing two populations
I have two populations with the same set of features. The range of the features' values is also the same.
I trained Random Forest Algorithm on the first population. Thus, I wonder whether or not I can ...
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Can CUSUM be used to detect anomalies in clustered data?
I am looking at approaches to detect anomalies in network traffic in terms of packets being sent with a very short inter-arrival time (IAT). Said differently, the longer (possibly) uniform IATs would ...
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What do the letter and the subscript in the Shewhart's control chart constants ($A_2, A_3, c_4, c_5, \ldots$) mean?
The expected value of the sample standard deviation is
$$E(s) = c_4(n)\sigma$$
where
$$
c_4(n) = \sqrt{2\over n-1}{\Gamma({n\over2})\over\Gamma({n-1\over2})}
$$
The page on Wikipedia led me ...
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Find a single-sampling plan for which $p_1=0.02$, $\alpha=0.01$,$p_2=0.06$ and $\beta=0.10$
I am not sure where to start. My previous lecture gave very limited information on what to do here, so my current toolbox only consists of these formulas:
$$1-\alpha=\sum_{d=0}^{c} {n \choose d}p_1^d(...
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Tolerance Interval of large Time Series data
I have a time series Temperature data coming from a sensor which is collected at a irregular frequency. The data size is ~100K. I have to find the Lower and Upper Bounds for this data to find the ...
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What is the rationale for the rules for detecting an out of control process in Statistical Process Control?
Statistical Process Control (SPC) can be used to determine if a process is "in statistical control". A common tool for SPC is the "mean control chart" -- essentially a time series of sample means ...
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Sample Size Estimate of Proportion
College admission office manually processes 1,000 applications in a month. We want to take a sample from this 1,000 to see how many applications were processed correctly (data entry errors, typos, ...
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Quantifying agreement between datasets from different methods of measurement
I have two datasets, A and B. Both ultimately come from the same source, both have the same data attributes, but the datasets use different measurement methods to derive the attributes. We want to ...
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Is it possible to get equivalences of Western Electric Rules in non normal distribution with percentile values?
I am not a statistician and I am a bit lost with these concepts, but I will try to explain my situation.
I have a non-normally distributed data, and I am trying to apply the Western Electric Rules to ...
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Determining the sampling size ensure defect rate of less than X parts per million at a confidence interval
For quality sampling, I need to ensure a defect rate of less than 5000 parts per million, which is 1/200, at a specific confidence level.
The goal is to have the smallest sample number for the ...
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When and how to re-evaluate deployed models
There are a lot questions about how to train a model (family) or how to tune hyperparmeter. But there are surprisingly few question about how to monitor or evaluate a model already in production (...
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Forecasting Process with Limited Historical Data and High Variance
I have a general inquiry regarding a project I am working on. I cannot reveal too much, but I would like to gauge the community here and hopefully be pointed towards the right direction in terms of ...
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Statistical Process Control with Big Data
At work one of our projects has been to monitor a certain type of mechanical system and identify anomalous behavior. Luckily for us we have access to 5+ years of system performance across many ...
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Quantile (Inverse Cumulative Density) Function for Hypergeometric Distribution
The hypergeometric distribution arises from sampling without replacement. The similar binomial sampling distribution assumes replacement. Hypergeometric distributions are commonly used in quality ...
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