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- How to resolve the ambiguity in the Boy or Girl paradox?
The net effect is that even if I don't know which one is definitely a boy, the other child can only be a girl or a boy and that is always and only a 1 2 probability (ignoring any biological weighting that girls may represent 51% of births or whatever the reality is)
- probability - What is the expected number of children until having the . . .
You can consider starting from position 1 for the difference of boys girls and move up and down randomly with 50% probability until reaching zero These type of walks have been described here: What is the distribution of time's to ruin in the gambler's ruin problem (random walk)? and based on the results in those answers we can see that the
- what is the difference between a two-sample t-test and a paired t-test
While I was glancing at hypothesis tests, I saw paired and two-sample t-test but couldn't understand the difference For the explanation of these two tests, I saw the following sentence quot; Two-
- r - What test can I use to compare slopes from two or more regression . . .
Seating 5 boys and 5 girls in a row when no two girls may sit together VS forming a line with the five boys and five girls alternating What is difference between using angle and arc length as oscillating variables of a mathematical pendulum?
- Interpretation of Shapiro-Wilk test - Cross Validated
I'm pretty new to statistics and I need your help I have a small sample, as follows: H4U 0 269 0 357 0 2 0 221 0 275 0 277 0 253 0 127 0
- How to measure the shift between two cumulative distribution functions . . .
$\begingroup$ Orthogonal comments, picky if you like, but in graphics details can matter a lot 1 Difficulty distinguishing red and green is a common problem many people have; here it doesn't matter because the two curves would be distinct whatever the colours, but even for this kind of problem, red and green curves that crossed could be a puzzle
- ANOVA vs. T-test for two groups - Cross Validated
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- hypothesis testing - Choosing between a MANOVA and a series of t-tests . . .
Simple ANOVA is a test of significance used to determine whether scores from two or more groups are significantly different at a selected probability level Whereas, the t test is appropriate test of difference between the means of two groups at a time (e g , boys and girls)
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