Measures of Descriptive statistics and Inferential statistics

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Measure's of Descriptive Statistics and
Inferential Statistics
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Introduction
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Descriptive statistics are numbers that
are used to summarize and describe
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data. The word "data" refers to the information
that has been collected from an experiment, a
survey, a historical record, etc.
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Inferential statistics is a set of data taken
from the population to represent the population.
Inferential statistics uses a random sample of
data taken from a population to describe and
make inferences about the population.
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Example
Descriptive statistics
Raw data
Descriptive statistics
Inferential statistics
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Measures of Descriptive Statistics
Frequency distribution Measures of central
tendency Measures of position Measures of
variability Graphical representation
Correlation co-efficient
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Measures of Inferential Statistics
Non- Parametric
Parametric
T-test ANOVA
Kolmogrov-smirnov Mann-whitney Median Spearman
rank correlation
Chi-square
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Applications of Descriptive Statistic
It gives information that describes the data in
some detailed manner. Organize, analyze and
present data in a meaningful way. To describe a
situation. Descriptive statistic are concerned
with describing the characteristics of frequency
distribution. Charts, graphs and tables.
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Applications of inferential Statistic

• To makes inferences about population using data
  drawn from the population.
• To compare data, text hypothesis and make
  predictions (Estimation or parameters).
• To explain the chance of occurrence of an event.
• It attempts to reach the conclusion to learn
  about the population.

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Topics for next Post
Measure of Central Tendency Measure of
variability Hypothesis Test, Confidence
Interval and Regression Analysis Stay Tuned with