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How many simple random samples are possible of size 40 from a population of size 500?
Approximately 1.364*1060
How do you select random samples in statistics?
To select random samples in statistics, you can use methods such as simple random sampling, systematic sampling, stratified sampling, or cluster sampling. Simple random sampling involves selecting individuals from a population where each has an equal chance of being chosen, often using random number generators. Systematic sampling selects every nth individual from a list, while stratified sampling divides the population into subgroups and samples from each. Cluster sampling involves dividing the population into clusters, then randomly selecting entire clusters to include in the sample.
What is the difference between simple random sampling and random sampling?
Simple!
Is cluster sampling random?
It can be but it is not simple random sampling.
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
How many simple random samples of size 5 can be selected from a population of size 35?
There are 324,632 possible samples.
How many simple random samples are possible of size 40 from a population of size 500?
Approximately 1.364*1060
How is data collected in statistics?
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
How many different simple random samples of size 4 can be obtained from a population whose size is 42?
Number of samples = 42C4 = 42*41*40*39/24 = 111930
What is the definition of simple random sample?
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.
How many different simple random sample of size 7 can be obtained from a population which is a size 100?
There are 16,007,560,800 or just over 16 billion samples.
When individuals all have an equal chance of being selected and all samples have an equal chance of being selected its called a stratified random example convenience cluster or simple random sample?
Simple random sampling.
At a large University a simple random sample of 5 female professors is selected and a simple random sample of 10 male professors is selected The two samples are combined to give an overall sample of?
Oh, what a happy little accident! When you combine those two samples of female and male professors, you create a beautiful overall sample that represents the diversity of the university. Each professor's unique perspective and expertise will contribute to a richer understanding of the academic community. Just like mixing different colors on your palette, blending these samples together can create something truly special.
What is stratified random sampling in statistics?
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.
What is the formula for simple random sampling?
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
How many simple random samples of size 5 can be selected from a population of size 34?
278 256The number of 5 different item combinations from a pool of 34 different items isgiven by:34C5 = 34!/(5!29!) = 278 256
How many simple random samples of size 3 can be selected from a population of size 7?
7*6*5/(3*2*1) = 35
