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In the context of a sample of size n out of a population of N, any sample of size n has the same probability of being selected. This is equivalent to the statement that any member of the population has the same probability of being included in the sample.
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What are the differences between probability sampling and non probability sampling?
In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.
What is the definition for probability sample?
A probability sample is one in which each member of the population has the same probability of being included. An alternative and equivalent definition is that it is a sample such that the probability of selecting that particular sample is the same for all samples of that size which could be drawn from the population.
Is a sample a number describing some characteristic of a statistic?
No. A statistic is a number describing a characteristic of a sample.
What is the key feature of probability sampling?
The key feature is that each sample of the given size has the same probability of being selected as the sample. Equivalently, each unit in the population has the same probability of being included in the sample.
Is a parameter a measurable characteristic of a sample?
this is false... a parameter is a measure of a mean or mode, a measurable characteristic of a sample is called a statistic.
What is the defining characteristic of a random sample?
Each member of the population has the same probability of being in the sample as any other. Equivalently, any set of members of the given sample size has the same probability of being selected as any other set.
What are the differences between probability sampling and non probability sampling?
In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.
What is the definition for probability sample?
A probability sample is one in which each member of the population has the same probability of being included. An alternative and equivalent definition is that it is a sample such that the probability of selecting that particular sample is the same for all samples of that size which could be drawn from the population.
Is a sample a number describing some characteristic of a statistic?
No. A statistic is a number describing a characteristic of a sample.
What is the key feature of probability sampling?
The key feature is that each sample of the given size has the same probability of being selected as the sample. Equivalently, each unit in the population has the same probability of being included in the sample.
Random sample is a concept of?
Probability.
What type of probability used sample spaces to determine the numerical probability that an event will occur?
Discrete probability. It helps if the all the outcomes in the sample space are equally probable but that is not a necessity.
Is a parameter a measurable characteristic of a sample?
this is false... a parameter is a measure of a mean or mode, a measurable characteristic of a sample is called a statistic.
The whole population to be measured in a scientific poll is the?
random sample or probability sample
Is the sample size in poisson probability distribution?
It can be.
What is difference between proportion and probability?
Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.
What is a non probability sample?
A sample of a population that is based on factors other than randomness.
