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A tartalmat a Accendo Reliability and Fred Schenkelberg biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Accendo Reliability and Fred Schenkelberg vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Fundamentals of Hypothesis Testing

 
Megosztás
 

Manage episode 423779942 series 2359252
A tartalmat a Accendo Reliability and Fred Schenkelberg biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Accendo Reliability and Fred Schenkelberg vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Fundamentals of Hypothesis Testing

podcast episode with speaker Fred Schenkelberg

Let's make a comparison. Let's check our product's key characteristics against specifications, compare vendor life data, or compare the newest design changes to prior performance. We can and should do comparisons well using the appropriate statistical approach.

Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. Plus how to best use these tools and when to set them aside and explore another approach.

Statistics is a part of what a reliability professional does; thus, we all should know the range, power, and applicability of the methods available. Let's explore how to make comparisons well.

This Accendo Reliability webinar was originally broadcast on 11 June 2024.


To view the recorded video, visit the webinar page.

Related content:

Sample Size for Hypothesis Testing of μ article
Single Sample Z-test Hypothesis Testing for Mean with Known Variance article
Hypothesis Testing article
Hypothesis Test Selection article
Hypothesis Test Selection Flowchart article

SPC Sample Size Impact on SPC

In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes).

Drawing of Clef arc ogive Vezelay

Reliability and Statistical Process Control

Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance.

Ravelin et tenaille

Understanding and Controlling Process Variation

Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next.

10 Keys for Maximizing the Benefits of Your SPC Program

Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes.

How do I link Process Capability Indices to Number (PPM) Defects?

if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar.

What is Statistical Process Control or SPC?

You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them.

What is Process Capability Analysis (PCA)?

A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like.

Sketch of Arc boutant primitif

Fundamentals of Control Charts

Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable.

Fundamentals of Process Capability

Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information.

The post Fundamentals of Hypothesis Testing appeared first on Accendo Reliability.

  continue reading

181 epizódok

Artwork
iconMegosztás
 
Manage episode 423779942 series 2359252
A tartalmat a Accendo Reliability and Fred Schenkelberg biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Accendo Reliability and Fred Schenkelberg vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Fundamentals of Hypothesis Testing

podcast episode with speaker Fred Schenkelberg

Let's make a comparison. Let's check our product's key characteristics against specifications, compare vendor life data, or compare the newest design changes to prior performance. We can and should do comparisons well using the appropriate statistical approach.

Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. Plus how to best use these tools and when to set them aside and explore another approach.

Statistics is a part of what a reliability professional does; thus, we all should know the range, power, and applicability of the methods available. Let's explore how to make comparisons well.

This Accendo Reliability webinar was originally broadcast on 11 June 2024.


To view the recorded video, visit the webinar page.

Related content:

Sample Size for Hypothesis Testing of μ article
Single Sample Z-test Hypothesis Testing for Mean with Known Variance article
Hypothesis Testing article
Hypothesis Test Selection article
Hypothesis Test Selection Flowchart article

SPC Sample Size Impact on SPC

In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes).

Drawing of Clef arc ogive Vezelay

Reliability and Statistical Process Control

Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance.

Ravelin et tenaille

Understanding and Controlling Process Variation

Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next.

10 Keys for Maximizing the Benefits of Your SPC Program

Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes.

How do I link Process Capability Indices to Number (PPM) Defects?

if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar.

What is Statistical Process Control or SPC?

You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them.

What is Process Capability Analysis (PCA)?

A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like.

Sketch of Arc boutant primitif

Fundamentals of Control Charts

Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable.

Fundamentals of Process Capability

Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information.

The post Fundamentals of Hypothesis Testing appeared first on Accendo Reliability.

  continue reading

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