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安裝中文字典英文字典辭典工具!
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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?
- 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
- 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
- python - How can one interpret a heat map plot - Cross Validated
A heat map is a two-dimensional representation of data in which values are represented by colors Correlation Heat map is a two dimensional plot of the amount of correlation (measure of dependence) between variables represented by colors
- How to interpret root mean squared error (RMSE) vs standard deviation?
$\begingroup$ I have no privilege to comment on @Chaconne 's answer, but I doubt if his last statement has a typo, where he says: "So the variability measured by the sample variance is the averaged squared distance to the horizontal line, which we can see is substantially less than the average squared distance to the line"
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