- #1
knightza
- 11
- 0
Hey, does anyone know how many observation is needed before we can prove that a trend is significance?
Find Trend in STAT: How Many Observations Needed?
- Thread starter knightza
- Start date
In summary: If you are looking at the data from the tyres of one vehicle, then you should be analysing the data of each tyre separately.
- #2
Cyrus
- 3,238
- 17
You don't prove a trend is significant based on the number of observed points, its based on the confidence level.
- #3
knightza
- 11
- 0
Hey Cyrus, thanks for your reply, sorry I'm not very good at STAT here but I currently have to analyse quite a huge set of data. The first lot they sent me has around 7000 observations (and I'm trying to relate the temperature with speed, pressure etc) so how many "strange observations" am I allowed if, say, i want it to be with in 95% confidence level. Is there some formula to calculate this??
Thanks
Knight
Thanks
Knight
- #4
Cyrus
- 3,238
- 17
What you are trying to do is system identification. There is a large body of theory behind it, along with statistical metrics to determine what terms to include in your model for explanatory variables. If you do not know how to do this, I would recommend you give it to someone that does because this is not something you can teach yourself in short order and it requires someone trained in SYSID.
It doesn't work based on "strange observations," I think the problem is that you don't have a fundamental background in statistics.
It doesn't work based on "strange observations," I think the problem is that you don't have a fundamental background in statistics.
- #5
knightza
- 11
- 0
OMG this is so..sad. why did they give this research project to a third year uni student T.T
Ok, thanks for your help anyways, aye? I might need to talk to my supervisor about it.
Ok, thanks for your help anyways, aye? I might need to talk to my supervisor about it.
- #6
Cyrus
- 3,238
- 17
knightza said:
It all depends on what your data looks like. If the data has very clear distinct trends, then you can probably get away with using some simple functions and seeing what the R^2 value looks like. If you have a more complicated system, then things will be nasty pretty quickly. Do you know what the time history of your signals look like?
- #7
knightza
- 11
- 0
What did you mean by time history though?
This is quite a specific project on a specific mine site and the data was just recorded every minute since 25th November.
I am now waiting for the second lot of data since it was found that the data on the first lot contains many errors in it (due to configurations, installation of the device and so on).
Hopefully the relationship will not be that complicated. I'll certainly get back to you once I have more problems (most likely when I get the second lot of data).
Thanks
Knight
PS
One thing that I need the clarification for, say, if we are looking at the data from the tyres of one vehicle. Should I be analysing the data of each tyre separately? both temperature, pressure etc. Or is there a possibility that the increase in pressure/temperature of one tyre will cause an increase in the other tyre too?
This is quite a specific project on a specific mine site and the data was just recorded every minute since 25th November.
I am now waiting for the second lot of data since it was found that the data on the first lot contains many errors in it (due to configurations, installation of the device and so on).
Hopefully the relationship will not be that complicated. I'll certainly get back to you once I have more problems (most likely when I get the second lot of data).
Thanks
Knight
PS
One thing that I need the clarification for, say, if we are looking at the data from the tyres of one vehicle. Should I be analysing the data of each tyre separately? both temperature, pressure etc. Or is there a possibility that the increase in pressure/temperature of one tyre will cause an increase in the other tyre too?
FAQ: Find Trend in STAT: How Many Observations Needed?
What is the purpose of finding a trend in STAT and how many observations are needed?
The purpose of finding a trend in STAT (statistical analysis) is to identify patterns and relationships in data. The number of observations needed will depend on the complexity of the data and the level of confidence desired.
How do you determine the appropriate number of observations needed?
The appropriate number of observations needed can be determined by considering the type of data being analyzed, the research question being asked, and the level of confidence desired. Statistical methods such as power analysis can also be used to determine the minimum sample size needed for a given level of significance.
What is the significance of having a sufficient number of observations?
Having a sufficient number of observations is important because it increases the reliability and validity of the statistical analysis. With a larger sample size, the results are more likely to accurately reflect the population from which the data was collected.
Can you still find a trend with a small number of observations?
Yes, it is possible to find a trend with a small number of observations. However, the results may not be as reliable and may not accurately represent the population. It is generally recommended to have a larger sample size for more accurate results.
Are there any limitations to finding a trend in STAT with a large number of observations?
Yes, there can be limitations to finding a trend with a large number of observations. If the data is too complex or the trend is too subtle, a large sample size may not be helpful. In some cases, a smaller sample size may be more appropriate for identifying specific trends or patterns.