278 256
The number of 5 different item combinations from a pool of 34 different items is
given by:
34C5 = 34!/(5!29!) = 278 256
7*6*5/(3*2*1) = 35
Simple random sampling.
It is a simple random sample.
False
In stratified sampling, the population to be sampled is divided into groups (strata), and then a simple random sample from each strata is selected. For example, a state could be separated into counties, a school could be separated into grades. These would be the 'strata'.
There are 324,632 possible samples.
7*6*5/(3*2*1) = 35
Simple random sampling.
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.
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?
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
Approximately 1.364*1060
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.
It is a simple random sample.
Simple random sampling.
There are two equivalent definition. Definition 1: A simple random sample is one for which each element has the same probability of being included in the sample. Definition 2: A simple random sample is one where all sample of that size have the same probability of being selected. Although the words are similar, the first refers to the selection of individuals from the population whereas the second refers to the samples.
Number of samples = 42C4 = 42*41*40*39/24 = 111930