Assuming that you know the population size, N, and that you are confident that the sample size, n, you have chosen is adequate, then the skip interval is ~n/N. For example, if the populaton size if 998 and you reckon that you need a sample size of 20 then the skip interval would be 50.
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1 out of 10 teenagers skip school because of not understanding a school subject, 3 out of 5 teenagers skip school because of bullying and 1 out of 3 teenagers skip school because of emotional problems with friends and/or family.
no, you are probably pregnant. depending on your body fat percentage it happens.
It is legal: you will not get a criminal record. But it is very poor practise.
It could skip numbers, such as if you are counting by 3's (3,6,9,12,15) then it could have wrong numbers, and there could also be other misleading stuff too. +++ It could be misleading if the values themselves are incorrect, or if the line is a best-fit trace drawn erroneously, perhaps on a graph of points that genuinely do not really follow a discreet numerical law.
First arrange the data set in ascending order. Suppose the data set consists of n observations. the index for the lower quartile is (n + 1)/4 and the index for the upper quartile is 3*(n + 1)/4. Find the values that correspond to the number in these positions in the ordered list. For example, if n = 15, then lower index = 4 and upper index = 12. So the lower quartile is the fourth number and the upper quartile is the twelfth. If n is large, you may skip the +1 and just look at n/4 and 3n/4. Often the indices are not integers. Then, if you are a beginner (nd the fact that you asked this question suggests that you are), find the nearest whole numbers for the two indices. Otherwise you need to interpolate and that is a whole new ball game!