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Statistics E1 Types of Data

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Data - factual information usually gathered and analyzed to aid in making a _______ decision Types of Data Quantitative: Data about ____________ Examples: _______________________ Qualitative: Data about _______ or words Examples: _______________________ _______________________ numbers Way to remember – Quantitative has an ‘N’ for numbers age, height, weight letters Way to remember – Qualitative has an ‘L’ for letters or words colors, size (sm, med, lg), favorite sport

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Examples Determine if the following data is quantitative or qualitative (circle one) A. quantitative/qualitative: the elevations of the five highest mountains in the world means height What are some examples of height?3,549 ft 2,984 ft

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Examples Determine if the following data is quantitative or qualitative (circle one) A. quantitative/qualitative: the elevations of the five highest mountains in the world B. quantitative/qualitative: the color of automobiles on a used car lot What are some examples of color?red blue black

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Examples Determine if the following data is quantitative or qualitative (circle one) A. quantitative/qualitative: the elevations of the five highest mountains in the world B. quantitative/qualitative: the color of automobiles on a used car lot C. quantitative/qualitative: the number of seats in a move theater Which type of data is about numbers?

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Examples Determine if the following data is quantitative or qualitative (circle one) D. quantitative/qualitative: the ages of presidents at the time of their inauguration What are some examples of ages?63 68

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Examples Determine if the following data is quantitative or qualitative (circle one) D. quantitative/qualitative: the ages of presidents at the time of their inauguration E. quantitative/qualitative: the opinions of students regarding school lunches What are some examples of opinions of school lunches? The lunches are great The lunches are horrible

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E1 Types of Data Bias- (__________) – how ______ was the data collected prejudicedfair Sources of Bias Sample Size: if the sample is too ________ it does not accurately reflect the opinions of everyone Example: Ms. Rudd, Ms. Smith, and Mr. Mapes were asked what the most important subject in school was. Ms. Rudd and Ms. Smith said math and Mr. Mapes said social studies. So 2 out of 3 teacher agree that math is the most important subject in school small What would be a better sample? _____ ______________________________ Asking ALL the teacher in the school

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Sources of Bias Exclusion: if the sample excludes (does ______ include) a specific group of people Example: A school decided to take a survey to see if students should wear uniforms or not. 80% of the teachers and parents surveyed thought it was a good idea, so the school will be requiring uniforms next year Not Who wasn’t asked? _________________the students Was this fair? ______________________ _______________________________ Since it directly affects the students, no.

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Sources of Bias Selection Bias: choosing a __________ group of people to ask so that you will get the response you want. Example: A school needed to decide whether to spend money on new uniforms for the football team or on buying a new sound system for the auditorium. They decided to let the students choose by giving a survey specific A. State whether the following would be biased or unbiased surveys 1. Asking everyone buying tickets to the football game. _______ biased 2. Asking everyone in the drama club. __________ biased 3. Asking every 5 th person leaving school Friday. _________ unbiased

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In Closing Think of a survey you have taken or given. What kind of data was collected?

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Practice Problems Now try the practice problems on your own

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