Best Minitab Tool to determine a Statistically Significant Trend

  • Thread starter DeborahBartlett
  • Start date
D

DeborahBartlett

#1
Which tool in Minitab is the best to determine if your data has a statistically significant trend? I thought Run Chart but reading the definition of "trends" (my interpretation which may be off) using just the p-value for trends does not necessarily tell me if there is a statistically significant overall trend. (Key here is "Trends" vs. "Trend"). Is the Run Chart still valid if you use both Trends and Clustering? OR is there a better tool to make that determination? i.e. - looking at 24 months of data do I see a statistically significant upward or downward trend at this time.
 
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Bev D

Heretical Statistician
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#3
Control charts is probably the best tool

Can you provide more info on what you are doing? This will help us help you
 
D

DeborahBartlett

#4
Control charts is probably the best tool

Can you provide more info on what you are doing? This will help us help you
Thanks for the bump. Bev D. - more info
I am looking at time series data (monthly), for the quantity of calls received in that month. I am looking at run chart (just because it gave actual p-values) but I was also looking at the C-Chart with triggers for over 3 std dev above center line, points above or below center line and point increasing or decreasing. We only want to look at "new" issues/triggers, i.e.- new trends
 

Bev D

Heretical Statistician
Leader
Super Moderator
#5
A control chart is definitely the way to go. They are designed for time series data. 'trend charts' with p values on the other hand really aren't; they are simply a weaker analysis method.

It sounds like a c chart is probably the best choice.

if you can post some of your data we can take a look at it and provide somse advice and hints on how best to interpret and set up control limits...
 
D

DeborahBartlett

#6
A control chart is definitely the way to go. They are designed for time series data. 'trend charts' with p values on the other hand really aren't; they are simply a weaker analysis method.

It sounds like a c chart is probably the best choice.

if you can post some of your data we can take a look at it and provide somse advice and hints on how best to interpret and set up control limits...
Unfortunately I can't post data but you have confirmed what I was afraid of with Run Charts. Thank you for the affirmation, it really helps.

Thanks to all!
 
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