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Descriptive Statistics
By Attaullah Khan
And
Sadia Saleem
Terms of
Statistics
Refers to methods and
techniques used for describing,
organizing, analyzing, and
interpreting numerical data.
Statistics is often categorized
into descriptive and
inferential statistics.
Types of statistics:
• Descriptive (which summarize some characteristic of a sample)
• Measures of central tendency
• Measures of distribution
• Measures of skewness
• Inferential (which test for significant differences between groups
and/or significant relationships among variables within the sample
• t-ratio, chi-square, beta-value
Univariate
Analysis
• Univariate analysis involves the
examination across cases of one
variable at a time. There are three
major characteristics of a single
variable that we tend to look at:
• the distribution
• the central tendency
• the dispersion
In most situations, we would describe
all three of these characteristics for
each of the variables in our study.
100,000 fifth-grade
students take an
English achievement
test
Researcher randomly
samples 1,000 students
scores
Used to describe
the sample
Based on descriptive
statistics to estimate
scores of the entire
population o 100,000
students
Descriptive
Statistics
Thus, descriptive statistics are
used to classify, organize, and
summarize numerical data about a
particular group of observations.
There is no attempt to generalize
these statistics, which describe
only one group, to other samples
or population.
Descriptive
Statistics:
Methods of describing the
characteristics of a data set.
Useful because they allow you
to make sense of the data.
Helps exploring and making
conclusions about the data in
order to make rational decisions.
Includes calculating things such
as the average of the data, its
spread and the shape it
produces.
Continue
In other words, descriptive statistics are used to
summarize, organize, and reduce large
numbers of observations.
Descriptive statistics portray and focus on what
is with respect to the sample data, for example:
What percentage of students want to go to
college?
Types of
Descriptive
Statistics
Data Distribution
Percentage and Graphs
Summarize Data
Central Tendency and Variation
Data Distribution
Tables
Frequency
Distributions
Relative Frequency
Distributions
• A frequency distribution is a table that shows classes or intervals of
data with a count of the number in each class. The frequency f of a
class is the number of data points in the class.
Frequencies
Upper Class
Limits
Cont.
• Graphs
• Pie or Bar Chart or Histogram
• Stem and Leaf Plot
• Frequency Polygon
Graphs
A pie chart is a circle that is divided
into sectors that represent categories.
The area of each sector is
proportional to the frequency of each
category.
Summarizing
the Data
Central Tendency (or Groups’ “Middle Values”)
Mean, Median, Mode
Variation (or Summary of Differences Within
Groups)
Range
Interquartile Range
Variance
Standard Deviation
Descriptive statistics
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Descriptive statistics

  • 1. Descriptive Statistics By Attaullah Khan And Sadia Saleem
  • 2. Terms of Statistics Refers to methods and techniques used for describing, organizing, analyzing, and interpreting numerical data. Statistics is often categorized into descriptive and inferential statistics.
  • 3. Types of statistics: • Descriptive (which summarize some characteristic of a sample) • Measures of central tendency • Measures of distribution • Measures of skewness • Inferential (which test for significant differences between groups and/or significant relationships among variables within the sample • t-ratio, chi-square, beta-value
  • 4. Univariate Analysis • Univariate analysis involves the examination across cases of one variable at a time. There are three major characteristics of a single variable that we tend to look at: • the distribution • the central tendency • the dispersion In most situations, we would describe all three of these characteristics for each of the variables in our study.
  • 5. 100,000 fifth-grade students take an English achievement test Researcher randomly samples 1,000 students scores Used to describe the sample Based on descriptive statistics to estimate scores of the entire population o 100,000 students
  • 6. Descriptive Statistics Thus, descriptive statistics are used to classify, organize, and summarize numerical data about a particular group of observations. There is no attempt to generalize these statistics, which describe only one group, to other samples or population.
  • 7. Descriptive Statistics: Methods of describing the characteristics of a data set. Useful because they allow you to make sense of the data. Helps exploring and making conclusions about the data in order to make rational decisions. Includes calculating things such as the average of the data, its spread and the shape it produces.
  • 8. Continue In other words, descriptive statistics are used to summarize, organize, and reduce large numbers of observations. Descriptive statistics portray and focus on what is with respect to the sample data, for example: What percentage of students want to go to college?
  • 9. Types of Descriptive Statistics Data Distribution Percentage and Graphs Summarize Data Central Tendency and Variation
  • 11. • A frequency distribution is a table that shows classes or intervals of data with a count of the number in each class. The frequency f of a class is the number of data points in the class. Frequencies Upper Class Limits
  • 12. Cont. • Graphs • Pie or Bar Chart or Histogram • Stem and Leaf Plot • Frequency Polygon
  • 13. Graphs A pie chart is a circle that is divided into sectors that represent categories. The area of each sector is proportional to the frequency of each category.
  • 14. Summarizing the Data Central Tendency (or Groups’ “Middle Values”) Mean, Median, Mode Variation (or Summary of Differences Within Groups) Range Interquartile Range Variance Standard Deviation