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Inferential statistics

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Q: Techniques used to determine something about a population based on a sample?
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The techniques used to find out something about a population such as their average age based on a sample are referred to as?

A Census


Factors that determine sample size?

1. population to deal with in the sample 2. Location. ocation where the sample will be done 3. design. how the sample will be taken 4. result. how the outcome will be determined


What is the difference between a parameter and a statistic?

A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)


What difference between Statistical Sampling and non-statistical sampling?

Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.


What will happen if the sample you have drawn from the population does not represent the population?

You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.

Related questions

The techniques used to find out something about a population such as their average age based on a sample are referred to as?

A Census


How can you determine whether a sample is representative of a population?

Take a simple random sample.


Factors that determine sample size?

1. population to deal with in the sample 2. Location. ocation where the sample will be done 3. design. how the sample will be taken 4. result. how the outcome will be determined


To determine the unemployment rate the Bureau of Labor Statistic polls a sample population of?

50000 families


To determine the unemployment rate the Bureau of Labor Statistics polls a sample population of .?

50000 families


Why do smaller populations need larger sample sizes?

They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.


How can you determine if something is pure metal?

One way to determine if something is a pure metal is through a chemical test called a flame test, where the sample is heated and the color of the flame produced is observed. Another method is through using physical properties such as melting point, density, and electrical conductivity to compare with known properties of the metal in its pure form. Additionally, analyzing the sample using techniques like spectroscopy or X-ray diffraction can also help determine the purity of the metal.


What is the difference a parameter and a statistic?

A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)


What is subset of a population called?

A Sample


What is the difference between a parameter and a statistic?

A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)


What sentence is a true statement Is a sample a subset of the population or Is a population a subset of the sample?

A sample is a subset of the population.


What difference between Statistical Sampling and non-statistical sampling?

Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.