# Statistics E1 Types of Data. Data - factual information usually gathered and analyzed to aid in making a _______ decision Types of Data Quantitative:

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Statistics E1 Types of Data

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

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

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

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?

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

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 

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

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.

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

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

Practice Problems Now try the practice problems on your own

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