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.

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.

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12月26日 · In the above example, 38 is the maximum value as it's within the 3sd limit and a valid maximum value (meaning not outlier). Similarly 36 is minimum value as it's within the -3sd. We need to use this to replace all the outliers in full dataframe. Please note in my real data, I have more than 60 columns and 1 Million rows.

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.

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.

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.

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.

2016年1月3日 · I can calculate mean and sd for each subject, but I do not know how to compare each subjects' value of +/-3SD to the original rt variable and create a new rt variable with those values that are +/-3SD as missing. I am not sure if I should be trying to write a for loop or use an apply function. Any help or suggestions would be much appreciated.

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: