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The bigger the sample size the more accurate the results will be.

For example, if you roll a 6 sided die and track the results to get the probability of rolling a six. If you only roll 6 times, then you may not even get one 6 or you could get a few. A small sample size means you won't get very reliable results.

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Q: Why is sample size important in determining probability?
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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.


Factors to consider in determining sample size?

Factors that determine sample size


What is the primary characteristic of a probability sample?

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.


Is the sample size in poisson probability distribution?

It can be.


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.


What is the symbol for sample size in probability and statistics?

n


Why was it important for Mendel such a large sample of peas plants to determined the probability of inheritance?

Answer D- A higher sample size gives more accurate results- APEX LEARNING


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.


Why was it important for Mendel to study such a large sample pea plants to determine the probability of inheritance?

Answer D- A higher sample size gives more accurate results- APEX LEARNING


Why was it important to Mendel to study such a large sample of pea plants to determine the probability of inheritance?

Answer D- A higher sample size gives more accurate results- APEX LEARNING


The mean of a binomial probability distribution can be determined by multiplying?

The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.


What is true of a random sample?

Every member in the population has the same probability of being in the sample.Or, equivalently, every set of the given sample size has the same probability of being selected.