Quantitative Analysis in Geography: Frequency Distributions and Graphs, Study notes of Geography

A part of the university of wisconsin-milwaukee's quantitative analysis in geography course notes from fall 2008. It covers the topic of frequency distributions and graphs, including histograms, frequency polygons, ogives, and other types of graphs. The concept of frequency distributions, the rules for constructing them, and the purpose and uses of various types of graphs in statistics.

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Instructor: Rama Prasada Mohapatra
Department of Geography
University of Wisconsin-Milwaukee
Quantitative Analysis in Geography
University of Wisconsin-Milwaukee
Geography 247
Quantitative Analysis in Geography
Fall 2008
Week 3: Frequency distributions and graphs
Quantitative Analysis in Geography
University of Wisconsin-Milwaukee
1. Introduction
2. Organizing data
3. Histograms, Frequency polygons, and
Ogives
4. Other types of graphs
Outline
Data
Qualitative/
Categorical
Quantitative/
Numerical
Discrete Continuous
Examples:
Gender
Marital Status
Quantitative Analysis in Geography
University of Wisconsin-Milwaukee
1. Introduction
Data types
Examples:
No. of Children
Income
Examples:
Temperature
Altitude
Quantitative Analysis in Geography
University of Wisconsin-Milwaukee
1. Introduction
Measurement scale
Interval Data
Ordinal Data
Nominal Data
Quantitative
Data
Qualitative
Data
Categories (no
ordering or ranking)
Ordered Categories
(rankings, order, or
scaling)
Differences
between
measurements but
no true zero
Ratio Data
Differences
between
measurements,
true zero exists
Quantitative Analysis in Geography
University of Wisconsin-Milwaukee
1. Introduction
Need for data organization
Data (raw) stored in spreadsheets are usually not
easy to make inferences
To draw conclusions the data must be organized
in some meaningful way
The most convenient method of organizing data is
to construct a frequency distribution
The most useful method of presenting data is by
constructing charts and graphs
Quantitative Analysis in Geography
University of Wisconsin-Milwaukee
1. Introduction
Presenting qualitative data
Categorical Data
Graphing Data
Pie
Chart
Bar
Chart
Frequency
Distribution
Table
Tabulating Data
Pareto
Diagram
pf3
pf4
pf5

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Download Quantitative Analysis in Geography: Frequency Distributions and Graphs and more Study notes Geography in PDF only on Docsity!

Instructor : Rama Prasada Mohapatra Department of Geography University of Wisconsin-Milwaukee email: [email protected]

University of Wisconsin-Milwaukee

Geography 247

Quantitative Analysis in Geography

Fall 2008

Week 3: Frequency distributions and graphs

University of Wisconsin-Milwaukee

**1. Introduction

  1. Organizing data
  2. Histograms, Frequency polygons, and**

Ogives

4. Other types of graphs

Outline

Data

Qualitative/ Categorical

Quantitative/ Numerical

Discrete Continuous

Examples:

  • Gender
  • Marital Status

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

1. Introduction

Data types

Examples:

  • No. of Children
  • Income

Examples:

  • Temperature
  • Altitude

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

1. Introduction

Measurement scale

Interval Data

Ordinal Data

Nominal Data

Quantitative Data

Qualitative Categories (no Data ordering or ranking)

Ordered Categories (rankings, order, or scaling)

Differences between measurements but no true zero

Ratio Data

Differences between measurements, true zero exists

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

1. Introduction

Need for data organization

  • Data (raw) stored in spreadsheets are usually not easy to make inferences
  • To draw conclusions the data must be organized in some meaningful way
  • The most convenient method of organizing data is to construct a frequency distribution
  • The most useful method of presenting data is by constructing charts and graphs

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

1. Introduction

Presenting qualitative data

Categorical Data

Graphing Data

Pie Chart

Bar Chart

Frequency Distribution Table

Tabulating Data

Pareto Diagram

University of Wisconsin-Milwaukee

1. Introduction

Presenting quantitative data

Numerical Data

Stem-and-Leaf Display

Histogram Ogive

Frequency Distributions and Cumulative Distributions

University of Wisconsin-Milwaukee

2. Organizing Data

Frequency distributions

  • A frequency distribution is a list or a table consisting of classes and their corresponding frequencies.
  • Class is a quantitative or qualitative category in which the raw data is placed
  • The frequency of the class is the number of data values contained in a specific class
  • It is a way to condenses the raw data into a more useful form for summarization and quick visual interpretation

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

2. Organizing Data

Frequency distributions

  • Definition: Frequency distribution
    • A frequency distribution is the organization of raw data in table form, using classes and frequencies
    • Categorical
      • Used for data that can be placed in specific categories (nominal or ordinal level data)
    • Grouped
      • When the range of the data is large data is grouped into classes that are more than one unit in width

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

2. Organizing Data

Frequency distributions

  • Class limits
  • Lower class limit
  • Upper class limit
    • Class boundaries
    • Upper class boundaries
    • Lower class boundaries

Class limits should have the same decimal place value as the data, but the class boundaries should have one additional place value and end in a 5.

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

2. Organizing Data

Frequency distributions

  • Data range
    • Highest value – lowest value
  • Class width
    • Range/ desired number of classes
    • Upper/lower class limit – upper/lower class limit of next class
    • Upper class boundary – lower class boundary
  • Class midpoint

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

2. Organizing Data

Rules for construction of frequency distribution

  • There should be between 5-20 classes, no hard-

and-fast rule

  • It is preferable but not necessary that the class width be an odd number (only a suggestion)
  • Classes must be mutually exclusive
  • The classes must be continuous (no gaps)
  • The classes must be exhaustive (enough classes)
  • The classes must be equal in width

University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

The ogive is a graph that represents the cumulative frequencies for the classes in a frequency distribution. Used to visually represent how many values are below certain upper class boundary

Cumulative frequency graphs or ogives

Cumulative frequency is the sum of the frequencies accumulated up to the upper boundary of a class in the distribution. University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

Graphs of relative frequencies instead of frequencies are used when the proportion of data values that fall into a given class is more important than the actual number of data values that fall into that class.

Relative frequency graphs

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

Converting frequency into proportion

Relative frequency of a class

frequency of a class / total frequency

Sum of relative frequencies will always be 1

Relative frequency

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

Distribution shapes

Single Peak Flat

Unimodal

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

Distribution shapes

J shaped : few data values on left side and increases as one moves to right Reverse J shaped: opposite of the j-shaped distribution

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

Distribution shapes

Positively skewed Negatively skewed Unimodal Unimodal

University of Wisconsin-Milwaukee

3. Histograms, Frequency polygons, and Ogives

Distribution shapes

Bimodal

University of Wisconsin-Milwaukee

3. Other Types of Graphs

Misleading graphs

Scale of the graph

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

3. Other Types of Graphs

Misleading graphs

Two dimensional representation

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

3. Other Types of Graphs

Misleading graphs

Omission of labels or units

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

4. Other Types of Graphs

Several other types of graphs are often used in statistics. We will discuss three other types of graphs as follows:

1. The Pareto chart 2. The Time series graph 3. The Pie graph

Quantitative Analysis in Geography

University of Wisconsin-Milwaukee

4. Other Types of Graphs

A Pareto chart is used to represent a frequency distribution for a categorical variable, and the frequencies are displayed by the heights of vertical bars, which are arranged in order from highest to lowest.

Pareto chart

When the variable displayed on the horizontal axis is qualitative or categorical, a Pareto chart can be used