If 10% of plain M&Ms are blue and you have a sample of 20 M&Ms only two of them will be blue. If you need to have 15 blue M&Ms, then your sample size should be 150 M&Ms because 15 is 10% of 150.
The sample should be selected randomly.
A representative sample is a randomly selected subset of the population.
100% or each one of them.
0.3456
The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity
A randomly selected sample.
sample
The sample should be selected randomly.
A representative sample is a randomly selected subset of the population.
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.
The probability is 10 percent.
Sample. A random sample ensures that everyone or thing has a proportionally equal chance of being picked. The idea is that the sample should be representative of the whole population.
The Population of the data set. If there was a study of 5000 people, 50 were randomly selected as a sample, then "N" would be 5000.
100% or each one of them.
3.92
The probability that exactly 4 out of 6 randomly selected vehicles will pass the test when the pass rate is 80% is approx 0.2458 (or nearly a quarter).
Propulsive Sampling Mean a sample which we can take randomly