Chapter 15



   Basic Data Analysis:
   Descriptive Statistics
Coding Data and the Data Code Book


• Data entry: refers to the creation of a computer
  file that holds the raw data taken from all of the
  questionnaires deemed suitable for analysis
• Data coding: refers to the identification of codes
  that pertain to the possible responses for each
  question on the questionnaire
• Data code book: identifies all of the variable
  names and code numbers associated with each
  possible response to each question that makes
  up the data set
Types of Statistical Analyses Used in
          Marketing Research
               Data Reduction


• Data reduction: the process of describing a data
  matrix by computing a small number of measures
  that characterize the data set
• Four functions of data reduction:
   • Summarizes the data
   • Applies understandable conceptualizations
   • Communicates underlying patterns
   • Generalizes sample findings to the population
Types of Statistical Analyses Used in
        Marketing Research
          Statistical Analysis
Types of Statistical Analyses Used in
             Marketing Research
                 Statistical Analysis

• Five types of statistical analysis:
   • Descriptive analysis: used to describe the data set
   • Inferential analysis: used to generate conclusions
     about the population’s characteristics based on the
     sample data
   • Differences analysis: used to compare the mean of
     the responses of one group to that of another group
   • Associative analysis: determines the strength and
     direction of relationships between two or more
     variables
   • Predictive analysis: allows one to make forecasts for
     future events
Understanding Data Via Descriptive Analysis



• Two sets of descriptive measures:
   • Measures of central tendency: used to report a
     single piece of information that describes the
     most typical response to a question
   • Measures of variability: used to reveal the
     typical difference between the values in a set
     of values
Understanding Data Via Descriptive Analysis
         Measures of Central Tendency


• Mode: the value in a string of numbers that
  occurs most often
• Median: the value whose occurrence lies in the
  middle of a set of ordered values
• Mean: sometimes referred to as the “arithmetic
  mean”; the average value characterizing a set of
  numbers
Understanding Data Via Descriptive Analysis
            Measures of Variability



• Frequency distribution: reveals the number
  (percent) of occurrences of each number or set of
  numbers
• Range: identifies the maximum and minimum
  values in a set of numbers
• Standard deviation: indicates the degree of
  variation in a way that can be translated into a
  bell-shaped curve distribution
Understanding Data Via Descriptive Analysis
         Measures of Variability…cont.
When to Use a Particular Descriptive Measure

Burns And Bush Chapter 15

  • 1.
    Chapter 15 Basic Data Analysis: Descriptive Statistics
  • 2.
    Coding Data andthe Data Code Book • Data entry: refers to the creation of a computer file that holds the raw data taken from all of the questionnaires deemed suitable for analysis • Data coding: refers to the identification of codes that pertain to the possible responses for each question on the questionnaire • Data code book: identifies all of the variable names and code numbers associated with each possible response to each question that makes up the data set
  • 3.
    Types of StatisticalAnalyses Used in Marketing Research Data Reduction • Data reduction: the process of describing a data matrix by computing a small number of measures that characterize the data set • Four functions of data reduction: • Summarizes the data • Applies understandable conceptualizations • Communicates underlying patterns • Generalizes sample findings to the population
  • 4.
    Types of StatisticalAnalyses Used in Marketing Research Statistical Analysis
  • 5.
    Types of StatisticalAnalyses Used in Marketing Research Statistical Analysis • Five types of statistical analysis: • Descriptive analysis: used to describe the data set • Inferential analysis: used to generate conclusions about the population’s characteristics based on the sample data • Differences analysis: used to compare the mean of the responses of one group to that of another group • Associative analysis: determines the strength and direction of relationships between two or more variables • Predictive analysis: allows one to make forecasts for future events
  • 6.
    Understanding Data ViaDescriptive Analysis • Two sets of descriptive measures: • Measures of central tendency: used to report a single piece of information that describes the most typical response to a question • Measures of variability: used to reveal the typical difference between the values in a set of values
  • 7.
    Understanding Data ViaDescriptive Analysis Measures of Central Tendency • Mode: the value in a string of numbers that occurs most often • Median: the value whose occurrence lies in the middle of a set of ordered values • Mean: sometimes referred to as the “arithmetic mean”; the average value characterizing a set of numbers
  • 8.
    Understanding Data ViaDescriptive Analysis Measures of Variability • Frequency distribution: reveals the number (percent) of occurrences of each number or set of numbers • Range: identifies the maximum and minimum values in a set of numbers • Standard deviation: indicates the degree of variation in a way that can be translated into a bell-shaped curve distribution
  • 9.
    Understanding Data ViaDescriptive Analysis Measures of Variability…cont.
  • 10.
    When to Usea Particular Descriptive Measure