Courses

# PPT - Measures of Central Tendency Commerce Notes | EduRev

## Commerce : PPT - Measures of Central Tendency Commerce Notes | EduRev

``` Page 1

Measure Of Central
Tendency
Page 2

Measure Of Central
Tendency
Introduction:
• In statistics, a central tendency is a central value or a
typical value for a probability distribution.
• It is occasionally called an average or just the center
of the distribution.
• The most common measures of central tendency are
the arithmetic mean, the median and the mode.
• Measures of central tendency are defined for a
population(large set of objects of a similar nature) and
for a sample (portion of the elements of a population).
Page 3

Measure Of Central
Tendency
Introduction:
• In statistics, a central tendency is a central value or a
typical value for a probability distribution.
• It is occasionally called an average or just the center
of the distribution.
• The most common measures of central tendency are
the arithmetic mean, the median and the mode.
• Measures of central tendency are defined for a
population(large set of objects of a similar nature) and
for a sample (portion of the elements of a population).
Some Definitions
Simpson and Kafka defined  it as “ A measure of central
tendency is a typical value around which other figures
gather”
Waugh has expressed “An average stand for the whole
group of which it forms a part yet represents the whole”.
In layman’s term, a measure of central tendency is an
A VERAGE.  It is a single number of value which can be
considered typical in a set of data as a whole.
Page 4

Measure Of Central
Tendency
Introduction:
• In statistics, a central tendency is a central value or a
typical value for a probability distribution.
• It is occasionally called an average or just the center
of the distribution.
• The most common measures of central tendency are
the arithmetic mean, the median and the mode.
• Measures of central tendency are defined for a
population(large set of objects of a similar nature) and
for a sample (portion of the elements of a population).
Some Definitions
Simpson and Kafka defined  it as “ A measure of central
tendency is a typical value around which other figures
gather”
Waugh has expressed “An average stand for the whole
group of which it forms a part yet represents the whole”.
In layman’s term, a measure of central tendency is an
A VERAGE.  It is a single number of value which can be
considered typical in a set of data as a whole.
Importance Of Central Tendency
• To find representative value
• To make more concise data
• To make comparisons
• Helpful in further statistical analysis
Page 5

Measure Of Central
Tendency
Introduction:
• In statistics, a central tendency is a central value or a
typical value for a probability distribution.
• It is occasionally called an average or just the center
of the distribution.
• The most common measures of central tendency are
the arithmetic mean, the median and the mode.
• Measures of central tendency are defined for a
population(large set of objects of a similar nature) and
for a sample (portion of the elements of a population).
Some Definitions
Simpson and Kafka defined  it as “ A measure of central
tendency is a typical value around which other figures
gather”
Waugh has expressed “An average stand for the whole
group of which it forms a part yet represents the whole”.
In layman’s term, a measure of central tendency is an
A VERAGE.  It is a single number of value which can be
considered typical in a set of data as a whole.
Importance Of Central Tendency
• To find representative value
• To make more concise data
• To make comparisons
• Helpful in further statistical analysis
Mean
• The MEAN of a set of values or measurements is the
sum of all the measurements divided by the number
of measurements in the set.
• The mean is the most popular and widely used.  It is
sometimes called the arithmetic mean.
```
Offer running on EduRev: Apply code STAYHOME200 to get INR 200 off on our premium plan EduRev Infinity!

## Economics Class 11

212 videos|194 docs|48 tests

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

;