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.
0.13 to 2 d.p.
The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.
The answer would depend on the demographics of the population: a probability of 0.2 it too high unless the population is from a retirement area.
Randomly selected from 0 to 90.
The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.
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.
A representative sample is a randomly selected subset of the population.
randomly they were just picked randomly.
If I understand your question, yes, the proportion of people in a population ill with a certain disease at a given time is the same as the probablility that a randomly selected person in that population will have the disease at that time.
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.
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.
In Ancient greece, they were selected randomly
0.13 to 2 d.p.
The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.
RANDOMLY
The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.