An Afghan girl at a school operated out of a home in Kabul Damir Sagolj / Reuters Right now, 62 million girls worldwide are not in school. They’re receiving no formal education at all—no reading, no writing, no math—none of the basic skills they need to provide for themselves and their families, and contribute fully to their countries.
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- Why is gender typically coded 0/1 rather than 1/2, for example?
$\begingroup$ Using a 0/1 coding scheme is essentially useful when applying regression models among others, although several coding schemes are possible, e.g. -1/1 (but it will change the interpretation of the regression coefficients).
01/2/2025 - 9:02 am | View Website - Significance test for difference in two proportions over time with ...
So, for example, the proportion of 3rd graders with blonde hair, comparing boys and girls, if every year I measured a sample of 3rd grade boys and girls. I thought of this perhaps as a repeated measures analysis, but decided against it because these are actually independent samples, each year there is a total new crop of 3rd graders.
01/1/2025 - 12:45 pm | View Website - probability
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 ...
12/31/2024 - 10:19 pm | View Website - probability
$\begingroup$ That can't be right, and you can see that by noting that the MINIMUM number of children is 2. If the expected number of children = the minimum number of children, it must be that there is no possibility of having more children than the minimum number - otherwise the expected number of children would be greater than the minimum number...
12/31/2024 - 9:58 pm | View Website - Interpretation of regression coefficients with multiple categorical ...
It's the difference between the (predicted) mean of girls in girls-only schools and the (predicted) mean of girls in mixed schools. You can see this by looking at the design matrix or solving for a predicted value using the fitted regression equation. Let's make some simple data and work through this.
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