1 / 7

DESCRIPTIVE STATISTICS: GRAPHICAL AND NUMERICAL SUMMARIES

DESCRIPTIVE STATISTICS: GRAPHICAL AND NUMERICAL SUMMARIES. Scales of measurement Measurements on members of the population – individuals Qualitative or quantitative Nominal scale Interval scale Ordinal scale Ratio scale Precision. Nominal and Ordinal scales.

Télécharger la présentation

DESCRIPTIVE STATISTICS: GRAPHICAL AND NUMERICAL SUMMARIES

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. DESCRIPTIVE STATISTICS: GRAPHICAL AND NUMERICAL SUMMARIES Scales of measurement Measurements on members of the population – individuals Qualitative or quantitative Nominal scale Interval scale Ordinal scale Ratio scale Precision

  2. Nominal and Ordinal scales • Nominal scale: individuals classified into groups depending on their attributes • EXAMPLE: Gender: M or F • Colors: White, Red, Blue. • Ordinal scale: Add order to nominal scale. • EXAMPLE: Grades: A, B, C, D, F • T-shirt size: S, M, L, XL.

  3. Interval and Ratio scales • Interval scale: • mments are numerical values, • differences make sense, • intervals of equal length signify equal differences in the characteristic, • zero does not signify absence of the characteristic. • EXAMPLE: temperature. • Ratio scale: • like interval scale, but • has “absolute zero”, i.e. zero means absence of the characteristic. • EXAMPLE: height, weight.

  4. GRAPHICAL SUMMARIES: qualitative variables • Bar chart Example. According to the National Center for Health Statistics, the 6 leading causes of death in 1995 are: heart disease, cancer, stroke, pulmonary diseases, accidents, and others.

  5. GRAPHICAL SUMMARIES: qualitative variables • Pie chart. A disc (pie) is divided into “slices” proportional to the number of observations (frequency) in each category. • Relative frequency for each category. For example, heart disease 738/2312=0.3192 of the total. • Angle corresponding to each category= relative frequency x 360. For heart disease, 0.3192 x 360=116 degrees.

  6. GRAPHICAL SUMMARIES: Quantitative variables • HISTOGRAM: Shows frequency distribution – where the values are and how frequently they occur. • Example: Over 50 days a statistics course web site had the following number of “hits” per day: 20, 14, 21, …etc. (see text pg.14) • Frequency Table: relative frequency= frequency/total number of obs.

  7. GRAPHICAL SUMMARIES: Quantitative variables • Stem and leaf diagram. “ A bar chart drawn side ways”. • Stem: 1-2 leading digits. • Leaves: trailing (remaining) digits. • Example: Stem-and-leaf plot for the web site hits data stem leaves 0 89 1 1344 1 5667789 2 0122333 2 5566667889 3 01223 3 5699 4 1233 4 69 5 12 5 55 6 3

More Related