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PPT: Measures of Central Tendency

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 Page 1


Measures of 
Central Tendency
Page 2


Measures of 
Central Tendency
INTRODUCTION
Consider Baiju, a farmer from Balapur village in Buxar, Bihar. To assess his economic 
standing among the village's 50 small farmers, we can determine if his land holding is 
above, below, or near the average land holding size in the village.
1
above average (see 
the Arithmetic Mean)
2
above what half the 
farmers own (see the 
Median)
3
above what most 
farmers own (see the 
Mode)
These three measures allow us to represent the entire dataset with single, representative 
values:
1
Arithmetic Mean
2
Median
3
Mode
Page 3


Measures of 
Central Tendency
INTRODUCTION
Consider Baiju, a farmer from Balapur village in Buxar, Bihar. To assess his economic 
standing among the village's 50 small farmers, we can determine if his land holding is 
above, below, or near the average land holding size in the village.
1
above average (see 
the Arithmetic Mean)
2
above what half the 
farmers own (see the 
Median)
3
above what most 
farmers own (see the 
Mode)
These three measures allow us to represent the entire dataset with single, representative 
values:
1
Arithmetic Mean
2
Median
3
Mode
ARITHMETIC MEAN
Consider six families with monthly incomes (in Rs): 1600, 1500, 1400, 1525, 1625, 1630.
The mean family income = (1600 + 1500 + 1400 + 1525 + 1625 + 1630)/6 = Rs 1,547
This indicates that, on average, a family earns Rs 1,547.
Arithmetic mean is the most common measure of central tendency.
It equals the sum of all values divided by the number of observations, denoted by X
 .
For N observations (X¡, X¢, X£, ..., X¹), the formula is:
X
 = (X¡ + X¢ + X£ + ... + X¹)/N = 3X/N
Where 3X represents the sum of all observations and N is the total number of observations.
Page 4


Measures of 
Central Tendency
INTRODUCTION
Consider Baiju, a farmer from Balapur village in Buxar, Bihar. To assess his economic 
standing among the village's 50 small farmers, we can determine if his land holding is 
above, below, or near the average land holding size in the village.
1
above average (see 
the Arithmetic Mean)
2
above what half the 
farmers own (see the 
Median)
3
above what most 
farmers own (see the 
Mode)
These three measures allow us to represent the entire dataset with single, representative 
values:
1
Arithmetic Mean
2
Median
3
Mode
ARITHMETIC MEAN
Consider six families with monthly incomes (in Rs): 1600, 1500, 1400, 1525, 1625, 1630.
The mean family income = (1600 + 1500 + 1400 + 1525 + 1625 + 1630)/6 = Rs 1,547
This indicates that, on average, a family earns Rs 1,547.
Arithmetic mean is the most common measure of central tendency.
It equals the sum of all values divided by the number of observations, denoted by X
 .
For N observations (X¡, X¢, X£, ..., X¹), the formula is:
X
 = (X¡ + X¢ + X£ + ... + X¹)/N = 3X/N
Where 3X represents the sum of all observations and N is the total number of observations.
How Arithmetic Mean is Calculated
Arithmetic Mean for Ungrouped Data
Methods for calculating arithmetic mean when data is not grouped into frequency 
distributions
Arithmetic Mean for Grouped Data
Methods for calculating arithmetic mean when data is organized into frequency 
distributions
Page 5


Measures of 
Central Tendency
INTRODUCTION
Consider Baiju, a farmer from Balapur village in Buxar, Bihar. To assess his economic 
standing among the village's 50 small farmers, we can determine if his land holding is 
above, below, or near the average land holding size in the village.
1
above average (see 
the Arithmetic Mean)
2
above what half the 
farmers own (see the 
Median)
3
above what most 
farmers own (see the 
Mode)
These three measures allow us to represent the entire dataset with single, representative 
values:
1
Arithmetic Mean
2
Median
3
Mode
ARITHMETIC MEAN
Consider six families with monthly incomes (in Rs): 1600, 1500, 1400, 1525, 1625, 1630.
The mean family income = (1600 + 1500 + 1400 + 1525 + 1625 + 1630)/6 = Rs 1,547
This indicates that, on average, a family earns Rs 1,547.
Arithmetic mean is the most common measure of central tendency.
It equals the sum of all values divided by the number of observations, denoted by X
 .
For N observations (X¡, X¢, X£, ..., X¹), the formula is:
X
 = (X¡ + X¢ + X£ + ... + X¹)/N = 3X/N
Where 3X represents the sum of all observations and N is the total number of observations.
How Arithmetic Mean is Calculated
Arithmetic Mean for Ungrouped Data
Methods for calculating arithmetic mean when data is not grouped into frequency 
distributions
Arithmetic Mean for Grouped Data
Methods for calculating arithmetic mean when data is organized into frequency 
distributions
Arithmetic Mean for Series of Ungrouped 
Data
Direct Method
Arithmetic mean by direct method is the sum of all observations in a series divided by the 
total number of observations.
Calculate Arithmetic Mean from the data showing marks of students in a class in an 
economics test: 40, 50, 55, 78, 58.
Formula: X
 = 3X/N
Calculation: X
 = (40 + 50 + 55 + 78 + 58)/5 = 281/5 = 56.2
The average mark of students in the economics test is 56.2.
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FAQs on PPT: Measures of Central Tendency

1. What are the measures of central tendency?
Ans. The measures of central tendency are statistical values that represent the centre of a data set. The three main measures are the mean, median, and mode. The mean is the average of all the values, the median is the middle value when the data is arranged in order, and the mode is the value that appears most frequently in the data set.
2. How is the mean calculated?
Ans. The mean is calculated by summing all the values in a data set and then dividing the total by the number of values. For example, if the data set is 4, 8, and 10, the mean would be (4 + 8 + 10) / 3 = 7.33.
3. What is the significance of the median in a data set?
Ans. The median is significant because it provides a measure of central tendency that is not affected by extreme values or outliers in the data set. It represents the middle value, thereby offering a more accurate reflection of the typical value in skewed distributions.
4. When should the mode be used as a measure of central tendency?
Ans. The mode should be used when the data set includes categorical data or when one needs to identify the most common value. It is particularly useful in situations where the most frequent occurrence is more meaningful than the average or middle value, such as in surveys or market research.
5. Can a data set have more than one mode?
Ans. Yes, a data set can have more than one mode. When there are two modes, the data set is termed bimodal, and if there are more than two modes, it is referred to as multimodal. This situation occurs when multiple values appear with the same highest frequency.
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