# Search results

1. ### Computing mean and SD from percentiles in normal distribution

If you had the standard deviation and wanted to know the percentile that corresponded to the value 32 what would you do
2. ### Computing mean and SD from percentiles in normal distribution

They can. You already did the mean. Let's say you knew the standard deviation - how would you calculate what percentile a value falls at.
3. ### R programming

We have had battles on frivolous things. But when it comes to R we are generally respectful. Generally.
4. ### R programming

I honestly don't quite 'get' what they were trying to illustrate with their example so I'm not sure it makes sense to analyze that particular example any further. The dots parameter is useful for a few things but what they used it for is... pointless. The two main uses for in my opinion are...
5. ### R programming

Honestly I don't think that is a good example for learning/understanding what ... is used for. In this specific case I can't see any reason why one wouldn't just include alpha and beta as named parameters.
6. ### Recoding Age Ranges

You didn't post in a software specific section and don't mention what you're using.
7. ### Calculating Beta distribution parameters (alpha, beta) using Cumulative Density Function (CDF)

What software are you using? Are you familiar with any mathematical optimization techniques?
8. ### P values versus slope

That's all true. *If* you don't consider any other observations to be of any interest (which includes possible future observations). Want to consider whether the effect might hold at any point in the future? Sorry - you don't have the complete population any more.
9. ### regression degrees of freedom

So if the fields are numeric why are you expecting more than 1 df?
10. ### regression degrees of freedom

It looks like your looking at the parameters estimated so if you are treating that variable as categorical it will have to make multiple columns for it and estimate multiple parameters. So it's showing one row for each parameter. Notice there are multiple rows for rsa.
11. ### ARIMA model transformation

I think you're misreading. It says that after the transformation and after differencing that the result is stationary.
12. ### Test of just four(4) numbers

Did you have any reason to believe before seeing the data that that particular sample method was different or was it only after seeing the data that you decided that?
13. ### Test of just four(4) numbers

What does this data represent. If it's possible to do what you want you would need to make a fair number of assumptions so without more info it's impossible to say.
14. ### What are all the types of Sparsity?

If I don't get an answer then that gives me an answer to the other unasked question: is this thread worth the effort?

16. ### Regression Diagnostics

Also make sure you know what base your log function is using. It will most likely either be base 'e' or base 10 but look at the documentation to check.
17. ### Regression Diagnostics

Looks like you might want to investigate those outliers
18. ### P values versus slope

My response to your response is identical to my original response.
19. ### Multiple Linear Regression results

I'm trying to predict the temperature in Fahrenheit. I find that the total number of ice cream sales is a significant predictor of temperature when it's alone in the model. When I include "temperature in Celsius" as a predictor in the model then ice cream sales isn't significant anymore - it...
20. ### P values versus slope

You say the scale is the same but to me it just sounds like the units are the same. Units can be the same for two different variables but they could have drastically different scales in terms of how spread out they are.