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Mathematical theory of statistics, concerned with formal definitions and general results.
0
votes
Question about prediction: if a variable can predict another variable
At least intuitively, it definitely should!
Assume Z=4, then Y is likely to have a high absolute value.
Assume Z is close to zero, now Y is definitely small.
What Z will not tell you is any informati …
2
votes
Expectation over a max operation
Let X be uniform in (0, 5) and c=2. Here you have a counterexample with each side of the inequality being 3.5 and 2.5
1
vote
Statistics and Probability. Please show solution
Assuming a normal distribution:
Subtract 1.95*3.1/sqrt(8) to the mean. That's the lower bound.
Add 1.95*3.1/sqrt(8) times the standard deviation to the mean.That's the upper bound.
Sometimes that …
0
votes
estimate mean and standar deviation from proportions
I am not 100% sure about this approach, but I think it works.
2500 is the quantile 0.679 of your distribution. The same quantile in the standard normal is at 0.465
3000 is the quantile 0.9979 (=1-0. …
4
votes
Can I use smaller p-value from T-test and U-test?
You should decide your test first, then get the p-value. Otherwise you could keep doing tests until one of them gives you what you want. If you're going to perform multiple tests, then you should use …
2
votes
Why Normality assumption in linear regression
When working with those hypothesis, squared-erros based regression and maximum likelihood provide you the same solution. You are also capable of getting simple F-tests for coefficient significance, as …