Algebra 2 Honors - Topic 11 (Statistics)

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19 Terms

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Statistical question

it can be answered by collecting many pieces of information, or data, and summarizing the data

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Statistical variable

a quantity of quality that can be measured or counted, and for which data are expected to differ from one observation to another

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Categorical variable

data that falls into categories, used for qualitative data and generally not numerical data

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Quantitative variable

a quantity that can be counted

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Population

the set of all members of a group you want to know more about

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Sample

a subset of the population that is being studied to answer a statical question about the population

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Parameter

a measure that describes the entire population

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Statistic

a measure that describes a sample of the population

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Random sample

a sample selected so that each object/person in the population has an equal chance of being selected and each object/person is chosen independently of any other objects in the sample

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Stratified sampling

when a population is divided into groups with similar characteristics and a sample is randomly chosen from each group

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Cluster sampling

when a population is divided into convenient clusters, and entire clusters are chosen at random as the sample

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Systematic sampling

when you start with one member chosen at random then use a rule, such as “every 3rd member of the population” to select members of the sample

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Convenience sampling

only choosing subjects that are in close proximity or easy to get to

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Self-selected sampling

using a sample made up of volunteers

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Sampling methods with a high risk of bias

convenience and self-selected sampling

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Experiment

involves randomly dividing a population into two groups, applying a different treatment to each group, and measuring the difference between the treatments

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Sample survey

asks every member of a randomly selected sample the same set of questions and records the answers to try and draw a conclusion about the population

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Observational study

you don’t assign treatments to the subjects being studied. The subjects are already affected by the treatments under investigation

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How do you identify if a value is an official outlier

value < Q1 - 1.5(IQR) or value > Q3 + 1.5(IQR)