There are 25C7 different samples of seven from a pool of 25.
25C7 = 25!/(7!(25-7)!) = 480 700 different samples of 7
Approximately 1.364*1060
Simple!
simple random, stratified sampling, cluster sampling
It can be but it is not simple random sampling.
It is simple statistics. It would be almost impossible to survey an entire population, so they apply a simple random sample in which each person in the population receives a numerical value (001 - 999 for example). Then they use a random number generator on a calculator or use a random digit table to choose an appropriate amount of people to be sampled. It is more cost effective and easier to do it this way, yet still represents the population fairly accurately.
There are 324,632 possible samples.
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
Approximately 1.364*1060
Number of samples = 42C4 = 42*41*40*39/24 = 111930
There are two equivalent ways of defining a simple random sample from a larger population. One definition is that every member of the population has the same probability of being included in the sample. The second is that, if you generate all possible samples of the given size from the population, then each such sample has the same probability of being selected for use.
There are 16,007,560,800 or just over 16 billion samples.
Simple random sampling.
at a large university a simple random sample of 5 female proffesors is seleted and a simple random sample of 10 male professors is selected. the two samples are combine to give an overall sample of 15 professor. the overall sample is?
Stratified Random Sampling: obtained by separating the population into mutually exclusive (only belong to one set) sets, or stratas, and then drawing simple random samples (a sample selected in a way that every possible sample with the same number of observation is equally likely to be chosen) from each stratum.
The formula for simple random sampling is: n = N * (X / M) Where: n = number of samples N = population size X = sample size chosen M = total number of units in the population
278 256The number of 5 different item combinations from a pool of 34 different items isgiven by:34C5 = 34!/(5!29!) = 278 256
7*6*5/(3*2*1) = 35