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15 Cards in this Set
- Front
- Back
What is Quantitative Data?Give an 2 examples. |
Quantitative data uses the numerical scale. Numbers that can be written down and measured. An example data is your shoe size, another id your height. |
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Define what Qualitative Data is. Give at least two examples. |
Qualitative Data are thing that can be put into Categories. An example is finding peoples favorite color or type of shoes. |
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What are 3 things you must use in Statistics? |
You must Collect Data, Present your data, and lastly Characterize your data. |
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Define Statistics |
Statistics is the the science of collecting data. Classifying and interpreting data. |
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Give some examples in which Statistics is used in real life |
It is used in Businesses to find out consumer preferences Sports: To collect a players performance Engineering: In construction. Economics: Demographics |
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Explain the purpose of Inferential Statistics |
Make inferences generalizations estimations predictions based on sample data. |
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What is a variable? |
Is a characteristic or property of an individual experimental unit in population. |
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Define Population |
entire collection of objects of interest, "universal set" (usually people objects or transactions) |
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What is a Sample? |
A sample is a subset of a population. Should be representative of the population of interest |
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What is Descriptive Statistics? |
Describing or summarizing data, involving graphical and numerical methods,h |
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What are the two branches of statistics? |
Descriptive Statistics and Inferential Statistics |
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Define Random Sampling |
A subset of a population that has an equal chance in being chosen.
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Define Representative Sample |
Exhibits characteristics typical of those possessed by the populationof interest |
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What is Designed Experiment? |
Designed experiment is a collection of data where the researcher controls the characteristics of the experimental units. |
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Define Observational Study. |
Collection of data where the experimental data isn't controlled and is left alone in its setting. Its kept the same. |