2017年11月1日 · “Three st.dev.s include 99.7% of the data” You need to add some caveats to such a statement. The 99.7% thing is a fact about normal distributions-- 99.7% of the population values will be within three population standard deviations of the population mean.

2017年8月12日 · I have a data set. It's biological material. I have put in my standard deviations and I can see that all of my data bar 2 data points are within 3sd of the mean. Is it accepted that data points that fall within 3sd of the mean are within normal variation? Or is the dependant on the range and dispersement of the data? I'm not a mathematician.

2022年5月2日 · Removing outliers (by column) above 3 standard deviations of the median in R with multiple columns in a time series. I want to remove the row that has an outlier. In the example below, the last row...

2019年3月25日 · I have a dataset with participant IDS and 17 different measures for each participant. I need to remove outliers- numbers that are 3 standard deviations away from the mean both sides.

Following my question here, I am wondering if there are strong views for or against the use of standard deviation to detect outliers (e.g. any datapoint that is more than 2 standard deviation is an

2017年3月21日 · +3SD (standard deviation) If this is your first visit to the Blackjack Forum , be sure to check out the FAQ by clicking the link above. You will have to r e g i s t e r (free) before you can post: click the r e g i s t e r link to proceed.

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2015年1月16日 · R doesn't understand double inequalities like A < B < C as < and its family are binary operators. Hence, the above should be translated to A < B & B < C to be syntactically valid.

NumPy's std yields the standard deviation, which is usually denoted with "sigma". To get the 2-sigma or 3-sigma ranges, you can simply multiply sigma with 2 or 3:

2021年3月21日 · I am confused - the mean+-3SD doesn't make any sense for multiplicative distribution on the untransformed scale, so it seems it's on the log scale, which means we use now the log-normal specific geometric counterparts of the mean and SD.