1 / 13

Data Classification and Measurement Levels in Statistics

Understand the distinctions between qualitative and quantitative data, as well as the levels of measurement including nominal, ordinal, interval, and ratio. Explore examples and practice problems to solidify your knowledge.

levi-medina
Download Presentation

Data Classification and Measurement Levels in Statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Do Now and Example for Notebook In a recent study, volunteers who had 8 hours of sleep were three times more likely to answer questions correctly on a math test than were sleep-deprived participants. Is this an example of a population parameter or a sample statistic?

  2. Section 1.1 Classwork/Homework Page 6 – 7, #’s 1 - 32 Make sure that you review all your definitions from 1.1 and 1.2

  3. 1.2 - Data Classification Objectives 1.) Distinquish between qualitative and quantitative data 2.) Classify data

  4. Types of Data Quantitative Data – consist of numerical measurements or counts Qualitative Data – consist of attributes, labels or nonnumerical entries.

  5. Classifying Data by Type Qualitative Two data sets Quantitative

  6. Levels of Measurement Nominal Level of Measurement – Data that are only qualitative. Data using Names, Labels, or qualities. No mathematical computations can be made. Ordinal Level of Measurement – Data that are qualitative or quantitative. Data can be arranged in order, or ranked, but differences between data entries do not have mathematical meaning.

  7. Example of Nominal Data • Qualitative • No mathematical computations can be made • Names are not being ranked

  8. Ordinal Level of Measurement • Data consists of ranks • Ranks can be listed in order • Ranks between 1 and 5 has no mathematical meaning

  9. Levels of Measurement Interval Level of Measurement – Data that can be ordered, and meaningful differences between data entries can be calculated.

  10. Levels of Measurement Ratio Level of Measurement – Data are similar to data at the interval level. A ratio of two data entries can be formed so that one data entry can be meaningfully expressed as a multiple of another.

  11. Example of Interval • The data is quantitative • Can find differences between the years • Can not write ratios the numbers given

  12. Example of Ratio • Quantitative Data • Can find differences • Can write ratios New York hit about 1.5 times as many home runs as Detroit hit

  13. Homework Section 1.2, Pages 13 – 14, #’s 1 - 22

More Related