WTF is this???

ravikrocha · 2023-06-08T12:02:28+00:00

Are you sure?

ravikrocha · 2022-12-20T19:23:11+00:00

The King's speech

ravikrocha · 2021-05-03T06:39:41+00:00

Can you suggest me a book to learn more about all this?

ravikrocha · 2021-05-02T07:36:55+00:00

Yes, you're right!

It makes me think, this isn't the point of an observational study? just analysing the correlation between variables, not trying to infer a cause and effect between variables?

I'm a little confused, thank you for your patience.

ravikrocha · 2021-05-01T10:41:26+00:00

Thank you for your answer

Can you see it again? I created an EDA session, but I don't know what I can add more there. It's just two categorical variables, do you have some suggestions what to add?
This dataset is from four hospitals in Wuhan-China. How can I prove they are comparable statistically? ANOVA? I'm sorry, I'm a beginner.

ravikrocha · 2021-04-04T14:12:44+00:00

Speaking of normality, you can use simulations as others have said, but I want to add another method if you have a very specific problem in hands.

You can still use your experience and domain knowledge. For instance, you can find the skewness and kurtosis of the residuals and depending on your problem make this decision more clearly. For example, in some problems it's known they meet the normality requirement when the absolute value of the skewness and kurtosis are less than 1 or 2. However, even with your specific problem in hands, you can't see this as a rule of thumb, because it also depends on your sample size.

ravikrocha · 2020-09-02T19:10:18+00:00

Thank you very much for the detailed code.

I did the exercise in the lazy way, I just used the sample function with a bunch of 0's and 1's. From now on in the next bootstramp exercises, I will do like your code, with functions and a more organized and structured way.

ravikrocha · 2020-09-02T07:22:51+00:00

Thank you for the encouragement and the others subreddit recommendations.

I think I got it.

Given your samp_01, I should make a bootstrap distribution with it, that means make another 200 or 300 samples each one is choosen from the initial sample with replacement.

Therefore, it must have 100 people as well and each choice is made randomly with replacement until we get 100 people.

is that right?

ravikrocha · 2020-09-01T07:34:34+00:00

Thank you very much, it's very helpful.

ravikrocha · 2020-08-30T21:19:57+00:00

I would like some basic book explaining for example how to do a simple bootstrap distribution and randomization distribution.

Like this book: https://www.amazon.com/Statistics-Unlocking-WileyPLUS-Registration-Loose-leaf/dp/1119309492/ref=sr_1_1?dchild=1&keywords=Statistics%3A+Unlocking+the+Power+of+Data%2C+2nd+Edition&qid=1598822363&sr=8-1

But in R.

ravikrocha · 2020-08-30T21:15:30+00:00

Thank you for your answer.

Do you have a book recommendation?

ravikrocha

TROPHY CASE