MO10 Introduction to Inferential Statistics

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What is inferential statistics?

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Inferential statistics is a branch of statistics that allows us to make inferences or generalizations about a population based on a sample of data.

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What is a population in statistics?

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A population is the entire group of individuals or instances about whom we hope to learn.

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What is a sample in statistics?

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A sample is a subset of the population that is used to represent the entire group.

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What is random sampling?

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Random sampling is a technique where each member of the population has an equal chance of being selected for the sample.

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What is convenience sampling?

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Convenience sampling is a non-random sampling technique where the sample is taken from a group that is easily accessible.

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What is stratified sampling?

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Stratified sampling is a method of sampling that involves dividing the population into subgroups (strata) and taking a sample from each stratum.

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What is systematic sampling?

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Systematic sampling is a method where you select every nth individual from a list of the population.

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What is bias in sampling?

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Bias in sampling occurs when certain members of the population are systematically more likely to be selected than others.

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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 represents numerical values or counts.

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What is a survey?

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A survey is a method of collecting data by asking questions to a group of people.