Investigative Process of Statistics

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Describe the investigative process of statistics

Back

The investigative process of statistics involves collecting, analyzing, interpreting, and presenting data to make informed decisions.

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Construct a simple random sample

Back

A simple random sample is a subset of a statistical population where each member has an equal chance of being chosen.

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Determine when samples of convenience are acceptable

Back

Samples of convenience are acceptable when random sampling is impractical, but they may introduce bias and affect the validity of results.

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Describe stratified sampling, cluster sampling, systematic sampling, and voluntary response sampling

Back

- Stratified sampling: Divides the population into subgroups and samples from each. - Cluster sampling: Divides the population into clusters and randomly selects entire clusters. - Systematic sampling: Selects every nth member of the population. - Voluntary response sampling: Relies on individuals to voluntarily participate.

Front

Distinguish between statistics and parameters

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Statistics are numerical data describing a sample, while parameters are numerical data describing a population.

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The investigative process of statistics involves several steps.

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1. Formulate questions. 2. Collect data needed to answer the questions. 3. Describe the data. 4. Draw conclusions using appropriate methods.

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Statistics

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The study of procedures for collecting, describing, and drawing conclusions from information.

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Population

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The entire collection of individuals about which information is sought.

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Sample

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A subset of a population containing the individuals that are actually observed.

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Simple Random Sampling

Back

The most basic and often best sampling method involving random selection to represent a population.