CH-5 PPT

CH-5 PPT - Displaying and Describing Quantitative Data Displaying and Describing Quantitative Data Summarizing numerical data Histograms

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Displaying and Describing Quantitative Data

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Displaying and Describing Quantitative Data Summarizing numerical data Histograms Stem-and-Leaf plots Shape and Skewness Center: Mean vs. Median
Continuous Data: may take on any value in some interval Summarized in a grouped data frequency table Example: A manufacturer of insulation randomly selects 20 winter days and records the daily high temperature 24, 35, 17, 21, 24, 37, 26, 46, 58, 30, 32, 13, 12, 38, 41, 43, 44, 27, 53, 27 NOTE: Temperature is a continuous variable because it could be Frequency Distribution: Continuous Data

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1. Determine the number of categories (classes/bins) 2. Establish class width Minimum width is the range of the data Largest data point – Smallest data point = Range 3. Set the class boundaries 4. Determine the frequency in each class Count the number of data points in each category Building a Frequency Table: Continuous Data
How Many Categories? Many (Narrow class intervals ) May yield a very jagged distribution with gaps from empty classes Can give a poor indication of how frequency varies across classes Few (Wide class intervals ) May compress variation too much and yield a blocky distribution Can obscure important patterns of variation 0 2 4 6 8 10 12 0 30 60 More Temperature Frequency 0 0.5 1 1.5 2 2.5 3 3.5 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 More Temperature (X axis labels are upper class endpoints)

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General Guidelines Number of Data Points Number of Classes under 50 5 - 7 50 – 100 6 - 10 100 – 250 7 - 12 over 250 10 - 20 Class widths can typically be reduced as the number of observations increases Distributions with numerous observations are more likely to be smooth and have gaps
Considerations: Continuous Data Must be mutually exclusive Must be all-inclusive Bins should be of equal width Avoid empty categories

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How should the endpoints be determined? Often by trial and error The goal is to create a distribution that is neither too " jagged " nor too " blocky You want to appropriately show the pattern of variation
12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 Find range: 58 - 12 = 46 Select number of classes: 5 (usually between 5 and 20) Compute class width: 10 (46/5 then round off)

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This note was uploaded on 11/05/2011 for the course BMGT 220 taught by Professor Bulmash during the Spring '08 term at Maryland.

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CH-5 PPT - Displaying and Describing Quantitative Data Displaying and Describing Quantitative Data Summarizing numerical data Histograms

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