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- regression - Why could centering independent . . . - Cross Validated
I want to see how muscle strength, affects bone mass and I want to take into account gender to see if it affects differently in girls and boys The idea is that the higher the muscle strength the higher the bone mass I therefore have: Dependent variable: Bone mass Independent variables: Sex, muscle strength, interaction_SEX_MUSCLEstrength
- Two-way ANOVA when data is non-normally distributed
You'll note that the apparent non-normality problem is seen in girls, who outnumber boys by about 2 to 1 With such a restricted range of dependent-variable (DV) values, my initial reaction in a comment that normality shouldn't even be suspected is substantially alleviated
- Change in proportion - two timepoints - Cross Validated
So that is a difference of 5% for boys and 18% for girls between the two time points: I was hoping someone could point me in the right direction as to what test I should use to compare this change (5% versus 18%) between two timepoints
- Significance test for difference in two proportions over time with . . .
I'm comparing the same proportion across samples of two different populations taken over time So, for example, the proportion of 3rd graders with blonde hair, comparing boys and girls, if every ye
- interpretation - Intercepts (reference) in linear mixed effect model . . .
Statistically, if I choose to use a level with the highest predicted value as the reference, it will mean that all other levels are compared to that reference Right? In that case, the results interpretation will be based on how other levels are compared or significantly differ (or not) from the reference level Would that be a good way to go about it?
- Is it possible to prove a null hypothesis? - Cross Validated
Suppose you have a school and your null hypothesis is that the numbers of boys and of girls is equal As the sample size increases, the uncertainty in the ratio of boys to girls tends to reduce, eventually reaching certainty (which is what I assume you mean by proof) when the whole pupil population is sampled
- self study - Find probability and expectation - Cross Validated
Equivalently, the girls must be in the remaining $20-x$ positions, which can occur in $\binom {20-x} {2}$ distinct equiprobable ways out of all the $\binom {20} {2}$ possible pairs of positions
- distributions - How to compute frequency of overlapping bins when you . . .
The writer finds the number of girls aged 18 and above multiplying the number of girls in the bin "15-19" (39 560 000) by a fraction which I don't understand where it comes from
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