Populations and Samples

Front

What is a population in statistics?

Back

A population is the entire group of individuals or items that we want to study or draw conclusions about.

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What is a sample in statistics?

Back

A sample is a subset of the population selected for analysis, used to make inferences about the population.

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population, leading to skewed results.

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What is an unbiased sample?

Back

An unbiased sample is one that accurately reflects the characteristics of the population.

Front

How do you calculate the expected number of defective items in a population?

Back

Use the formula: (Number of defective items in sample / Total items in sample) x Total population size.

Front

If a sample of 60 phones has 4 defective ones, how many defective phones are expected in an order of 4,200?

Back

280 smart phones.

Front

If a sample of 50 elk has 8 infected, how many are expected to be infected in a population of 4,500?

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720 elk.

Front

What is the importance of random sampling?

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Random sampling ensures that every individual has an equal chance of being selected, reducing bias.

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What is stratified sampling?

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Stratified sampling involves dividing the population into subgroups and taking a sample from each subgroup.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.