# Search results

1. ### SUCH A GORGEOUS FORMULA !!

Either way... 1(Xi > 0) means it evaluates to 1 if Xi is greater than 0 and 0 if it isn't.
2. ### SUCH A GORGEOUS FORMULA !!

How would i have known that from the original post?
3. ### SUCH A GORGEOUS FORMULA !!

What expression are you talking about
4. ### SUCH A GORGEOUS FORMULA !!

I don't know what you're talking about
5. ### Structural equation models.

Have you ever done var modeling?
6. ### Structural equation models.

I honestly have no idea. I just like making your life harder. It's how I roll.
7. ### Structural equation models.

I doubt it'll do what you need
8. ### Rep and Seq

It's all in the help file. The each parameter will only take a single number. You probably the want the times parameter
9. ### Homework Help

Looks like they averaged over any replicated values. You would still want to do the regression on the original data though.
10. ### Set operations/Anti_join

I'm not a huge fan of the tidyverse. Any reason you don't want to keep all of those in a list for the second part though? You stuffed everything into a temporary list for the first section - seems like saving that and operating on the list would be the simplest approach.
11. ### Guessing P value

The 95% CI you have for the average weight difference is what will be useful for you
12. ### Linux

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13. ### probability calculation

Yes that is very important information for the problem. So with that said if X~N(50, 289^2) what would the distribution of (X-50) be?
14. ### probability calculation

I've never really seen any distinction like that. But yeah unless OP literally got a white sheet of paper with just that sentence and nothing else on it then there is context aren't mentioning.

16. ### Paired T Test has low P value but high deviation

Do you know how a paired t-test works?
17. ### Paired T Test has low P value but high deviation

I think that 3.5 value is your t-statistic. Is that what you thought the standard deviation was?
18. ### Estimated standard error

Describe the situation in which you think it's ok to do that.
19. ### U-shaped Beta distribution

The a and b I were referring to were the limits your want to transform the range to. Don't think of them as the alpha and beta of the Beta distribution.
20. ### U-shaped Beta distribution

a is the lower limit. b is the upper limit. If you want to draw between 20 and 35 then a=20, b=35. It sounds like you want to draw between 0 and 10 so a=0, b=10.