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If the population is of size N, then you allocate the numbers 1 to N to them: one per element of the population. Then generate random numbers in the range 1 - N. The element whose number is thrown up by the generator is in the sample. In the unlikely event that a number is repeated, you ignore the repeat and continue drawing the sample until you have the required correct number in the sample.
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What does RNG stands for?
random number generator
How is a random sample selected?
There are a few ways to do this, but one of the most common ways is by giving each of your subjects a number. If there are 100 of them, number them 001-100. If there are 1000, number them 0001-1000 and so on. Then, randomly choose numbers for each group using random number generator.
What is the difference between the functions rand random srand and randomize?
RAND: Rand uses a multiplicative congruential random number generator with period232 to return successive pseudo-random numbers in the range 0 to RAND_MAX. Return Value: Rand returns the generated pseudo-random number. RANDOM(): Random returns a random number between 0 and (num-1).random(num) is a macro defined in STDLIB.H. RANDOMIZE(): Randomize initializes the random number generator with a random value. Because randomize is implemented as a macro that calls the time function prototyped in TIME.H, you should include TIME.H when you use this routine SRAND(): The random number generator is reinitialized by calling srand with an argument value of 1.The generator can be set to a new starting point by calling srand with a given seed number.
The output of the pseudo-random number generator?
Is a set of numbers that look random and will pass most tests of randomness.
How can you choose a random sample of teachers?
The first step is to establish a sampling frame. This is a list of all teachers in the domain that you are interested in. Next you allocate a different number to each teacher. Then you use a random number generator to generate random numbers. You select each teacher whose number is generated. If the teacher has already been selected for inclusion in the sample, you ignore the duplicate and continue until you have a sample of the required size.
