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The answer depends on how rare or common the selected trait is. For something that is very rare, you will need a much larger sample to get a reasonable estimate of proportion.
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A population survey, better known as a census, entails the collection of each unit in the population. In sample survey information is collected from a subset of the population. The subset, or sample, needs to be selected carefully so that it is representative of the whole population and, if that requirement is met, statistics based on the sample are good estimators for the corresponding population parameters.
Will a sample descriptive statistics accurately estimate the underlying population's parameters?
The alternativehypothesis (Ha or H1) describes the population parameters that the sample data represent, if the predicted relationship exists. It is always the hypothesis of difference. That is as opposed to the null hypothesis (H0) that describes the population parameters that the sample data represent if the predicted relationship does not exist. See Basic Statistics of the Behavioral Sciences by Heiman.
inferential statistic
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A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.
The sampling proportion may be used to scale up the results from a sample to that of the population. It is also used for designing stratified sampling.
Greek letters are used for population parameters. Eg: µ is the population mean English letters are used for sample statistics. Eg: x-bar is the sample mean
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The answer depends on how rare or common the selected trait is. For something that is very rare, you will need a much larger sample to get a reasonable estimate of proportion.
statistical inference
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The Symbol p that denotes sample proportion.
The fraction or ratio of a sample possessing a certain trait is called a Proportion.