chap02-a

# chap02-a - Statistics Chapter 2 Graphs, Charts, and Tables...

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Chap 2-1 Statistics Chapter 2 Graphs, Charts, and Tables – Describing Your Data

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Chap 2-2 Chapter Goals After completing this chapter, you should be able to: Construct a frequency distribution both manually and with a computer Construct and interpret a histogram Create and interpret bar charts, pie charts, and stem-and-leaf diagrams Present and interpret data in line charts and scatter diagrams
Chap 2-3 Frequency Distributions What is a Frequency Distribution? A frequency distribution is a list or a table containing the values of a variable (or a set of ranges within which the data fall) . .. and the corresponding frequencies with which each value occurs (or frequencies with which data fall within each range)

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Chap 2-4 Why Use Frequency Distributions? A frequency distribution is a way to summarize data The distribution condenses the raw data into a more useful form. .. and allows for a quick visual interpretation of the data
Chap 2-5 Frequency Distribution: Discrete Data Discrete data: possible values are countable Example: An advertiser asks 200 customers how many days per week they read the daily newspaper. Number of days read Frequency 0 44 1 24 2 18 3 16 4 20 5 22 6 26 7 30 Total 200

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Chap 2-6 Relative Frequency Relative Frequency : What proportion is in each category? Number of days read Frequency Relative Frequency 0 44 .22 1 24 .12 2 18 .09 3 16 .08 4 20 .10 5 22 .11 6 26 .13 7 30 .15 Total 200 1.00 .22 200 44 = 22% of the people in the sample report that they read the newspaper 0 days per week
Chap 2-7 Frequency Distribution: Continuous Data Continuous Data: may take on any value in some interval 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 (Temperature is a continuous variable because it could be measured to any degree of precision desired)

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Chap 2-8 Grouping Data by Classes Sort raw data from low to high: 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) Determine class boundaries: 10, 20, 30, 40, 50 (Sometimes class midpoints are reported: 15, 25, 35, 45, 55) Count the number of values in each class
Chap 2-9 Frequency Distribution Example Data from low to high: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58

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## This note was uploaded on 02/23/2011 for the course OM 300 taught by Professor Bobsanders during the Spring '11 term at Essex County College.

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chap02-a - Statistics Chapter 2 Graphs, Charts, and Tables...

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