hello there, nice video but i have a critic. For simple random sampling you should always use a randomization mechanism (as you have said "rolling dice") you cannot just grab people, that is called "haphazard selection" which will theoretically cause more bias than random sampling.
For a sample of any number (say n), multiply n by the result of the ratio of each stratified subject to the population. In the given example, there are two stratifications: male and female students, out of a population of 24 students. 15 male students out of 24 = 15/24 = 0.625. Similarly, 9 female students out of 24 = 9/24 = 0.375. Further, if you want a sample of 6 students from here (n = 6), multiply 6 by 0.625 = 3.75, rounded off to 4 male students (you cannot have 3.75 students!). Similarly multiply 6 by 0.375 = 2.25 = 2 after rounding off. (Rounding off takes place where the fraction exceeds by 0.50 to the next higher number. If less than 0.50, then to the previous number. For example, 2.25 will be rounded off to 2, and 3.75 is rounded off to 4). Result: 4 + 2 = 6. So your desired sample of 6 students will comprise of 4 male and 2 female students. Cheers.
In reference to the Stratified Random Samples, is there an equation you can use in order to further simplify or determine the ratio of male and females you should of taken? The 3:5 ratio produced a sample of 8. How would you produce a sample of 6? If anyone could help that would be amazing - need this for work.
thank you, it is very clear. accept why you changed the sample size? if the answer is to get more representation to the reality. Why you chose 1/3 of the two category.
You took one third for males and one third for females sum to two thirds not one or 100%, I don't understand, could you please explain? and they should be 6 not 9?
