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Descriptive Statistics
21COM2T412: Business Statistics
Dr. Neerupa Chauhan
Asst. Professor
Kristu Jayanti College, Autonomous
(Reaccredited A++ Grade by NAAC with CGPA 3.78/4)
Bengaluru – 560077, India
Descriptive Statistics
Statistics used to describe and interpret
sample data.
Results are not really meant to apply to other
samples or to the larger population
• Frequency Distribution
• Central Tendency (Mean, Median, Mode)
• Percentile Values
Inferential Statistics
Statistics used to make inference about
the population from which the sample
was drawn.
Correlation
T-test
ANOVA (Analysis of Variance)
Regression
Population vs. Sample
Population: A large group of people to
which we are interested in generalizing.
‘parameter’
Sample: A smaller group drawn from a
population.
‘statistic’
Measures of Central Tendency
Statistics that identify where the center or
middle of the set of scores are.
Mode : Most frequently occurring scores.
Median : the 50th percentile, the second quartile
Mean : Arithmetic means, average, Add all the
scores and divide by the number of scores.
Which central tendency to use?
Depends on :
• The level of measurement of the data.
2. The shape of the score distribution.
(Skewness)
Level of Measurement
Nominal: Categorical scale
e.g. Male/Female, Blue eye/Brown eye/Green eye
Ordinal: Ranking scale
(Differences between the ranks need not be equal)
e.g. Scored highest (100 pts), middle (85 pts), lowest (20 pts)
Interval: The distance between any two adjacent units of
measurement (intervals) is the same but there is no
meaningful zero point.
e.g. Fahrenheit temperature
Ratio: The distance between any two adjacent units of
measurement is the same and there is a true zero point.
e.g. Height measurement, Weight measurement
Which central tendency to use?
1. The level of measurement of the data.
Mode---Nominal, Ordinal, Interval or Ratio
Median--- Ordinal, Interval, or Ratio
Mean---Interval or Ratio
Shape of the distribution:
Skewness
A measure of the lack of symmetry, or the
lopsidedness of a distribution. (> or < 2)
Use “median”
Shape of Distribution: Kurtosis
Leptokurtic Mesokurtic
(Normal Distribution)
Platykurtic
How flat or peaked a distribution appears.
(Does not affect the central tendency)
Shape of the distribution:
unimodal, bimodal
Bimodal --- 2 Modes
Mode is not a good indicator of the central
tendency.
Which central tendency to use?
Symmetric, unimodal, Normal distribution ---
Mode, Median, Mean all the same.
Skewed --- use the Median.
Bimodal --- do not use the Mode.
Thank you

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Descriptive Statistics.kjc.ppt

  • 1. Descriptive Statistics 21COM2T412: Business Statistics Dr. Neerupa Chauhan Asst. Professor Kristu Jayanti College, Autonomous (Reaccredited A++ Grade by NAAC with CGPA 3.78/4) Bengaluru – 560077, India
  • 2. Descriptive Statistics Statistics used to describe and interpret sample data. Results are not really meant to apply to other samples or to the larger population • Frequency Distribution • Central Tendency (Mean, Median, Mode) • Percentile Values
  • 3. Inferential Statistics Statistics used to make inference about the population from which the sample was drawn. Correlation T-test ANOVA (Analysis of Variance) Regression
  • 4. Population vs. Sample Population: A large group of people to which we are interested in generalizing. ‘parameter’ Sample: A smaller group drawn from a population. ‘statistic’
  • 5. Measures of Central Tendency Statistics that identify where the center or middle of the set of scores are. Mode : Most frequently occurring scores. Median : the 50th percentile, the second quartile Mean : Arithmetic means, average, Add all the scores and divide by the number of scores.
  • 6. Which central tendency to use? Depends on : • The level of measurement of the data. 2. The shape of the score distribution. (Skewness)
  • 7. Level of Measurement Nominal: Categorical scale e.g. Male/Female, Blue eye/Brown eye/Green eye Ordinal: Ranking scale (Differences between the ranks need not be equal) e.g. Scored highest (100 pts), middle (85 pts), lowest (20 pts) Interval: The distance between any two adjacent units of measurement (intervals) is the same but there is no meaningful zero point. e.g. Fahrenheit temperature Ratio: The distance between any two adjacent units of measurement is the same and there is a true zero point. e.g. Height measurement, Weight measurement
  • 8. Which central tendency to use? 1. The level of measurement of the data. Mode---Nominal, Ordinal, Interval or Ratio Median--- Ordinal, Interval, or Ratio Mean---Interval or Ratio
  • 9. Shape of the distribution: Skewness A measure of the lack of symmetry, or the lopsidedness of a distribution. (> or < 2) Use “median”
  • 10. Shape of Distribution: Kurtosis Leptokurtic Mesokurtic (Normal Distribution) Platykurtic How flat or peaked a distribution appears. (Does not affect the central tendency)
  • 11. Shape of the distribution: unimodal, bimodal Bimodal --- 2 Modes Mode is not a good indicator of the central tendency.
  • 12. Which central tendency to use? Symmetric, unimodal, Normal distribution --- Mode, Median, Mean all the same. Skewed --- use the Median. Bimodal --- do not use the Mode.