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Statistics is the study of collection, analysis, interpretation, presentation and organisation of data. It deals with all aspects of data, including the planning of data collection in terms of design of surveys and experiments.

Mean

The mean of a set of data values is the sum of all data values divided by the number of data values.
Statistics | Quantitative Aptitude for SSC CGL

Arithmetic Mean 

The average of set of numerical values as calculated by adding them together and dividing by the number of terms in the set.
Statistics | Quantitative Aptitude for SSC CGL

  •  For two numbers a and b,  AM = (a +b)/2
  • Statistics | Quantitative Aptitude for SSC CGL = 0 where x is the AM ( i = 1....n). 
  • If Statistics | Quantitative Aptitude for SSC CGL are the respective AMs of two different sets of data having a1 and a2 elements respectively, then mean of the total set is
    Statistics | Quantitative Aptitude for SSC CGL

Geometric Mean 

For two numbers a and b,  Statistics | Quantitative Aptitude for SSC CGL

Harmonic Mean 

In Mathematics, the harmonic mean is one of several kinds of average. Typically, it is appropriate for situations when the average of rates is desired. The harmonic mean of the positive real numbers a1, a2 .....K an > 0 is defined to be,
Statistics | Quantitative Aptitude for SSC CGL
For two numbers a and b, Statistics | Quantitative Aptitude for SSC CGL
⇒ AM ≥ GM ≥ HM

Mean of Ungrouped Data 

The information collected systematically regarding a population or a sample survey is called ungrouped data.
Statistics | Quantitative Aptitude for SSC CGL

Mean of Grouped Data 

If x1, x2 , . . , xn are observations with respective frequencies f1, f2,..., fn , then the mean

Statistics | Quantitative Aptitude for SSC CGL

Assumed Mean Method: 
Assumed mean method for calculating mean

Statistics | Quantitative Aptitude for SSC CGL

Example: The following table gives the marks scored by 24 students in a class
Statistics | Quantitative Aptitude for SSC CGL

Find the mean of the data given.
(a) 26.81
(b) 27.91
(c) 28.11
(d) None of these
Ans: 
(b)
Statistics | Quantitative Aptitude for SSC CGL

Median

When numbers are arranged either in ascending or descending order, median 

  • is the middle term when number of terms is odd. 
  • is the average of middle two terms when the number of terms is even. 
  • divides the distribution in two equal parts.

Median of Ungrouped Data 

Step 1 We arrange the data into ascending order or descending order.

Step 2 (a) If n is an odd number, then
Statistics | Quantitative Aptitude for SSC CGL
(b) If n is an even number, then Median
Statistics | Quantitative Aptitude for SSC CGL
Here, n = 6
Statistics | Quantitative Aptitude for SSC CGL

Median of Grouped Data 

Date which have been arranged in groups or classes rather than showing all the original figures.
Statistics | Quantitative Aptitude for SSC CGL
where,
l = Lower limit of median class
n = Number of observations
cf = Cumulative frequency of class preceding the median class
f = Frequency of median class
h = Class size
⇒ Find cumulative frequencies of all the classes and n / 2.
Locate the class whose cumulative frequency is greater than n /2. That is called the median class.
Statistics | Quantitative Aptitude for SSC CGL

Example: The data below given shows the number of rooms in 50 hotels of a city
Statistics | Quantitative Aptitude for SSC CGLFind the median number of rooms.
(a) 148.25
(b) 148.50
(c) 148.75
(d) 149.00
Sol.
(c)
Here, n = 50
So, n/2 = 25
which lies in 145 150 class interval.
∴ The modal class = 145 −150,
l = 145, cf = 10,
f = 20 and h = 5
Thus,
Statistics | Quantitative Aptitude for SSC CGL
Statistics | Quantitative Aptitude for SSC CGL

Mode

The number which has the highest frequency is the mode.

Mode of Ungrouped Data

e.g.     4, 1, 1, 4, 11, 11, 7, 5, 11, 35, 12, etc.
Here, mode is 11. e.g.     4, 4, 1, 4, 11, 11, 7, 5, 11, 35, 12, etc.
This distribution is multi-modal.
In this situation the mode will become undefined. In the cases where 2 or more items carry the same highest frequency, mode is ill-defined as a measure of central tendency. e.g. 4, 7, 1, 15, 35, 25, 18, etc.
In this case, mode is also ill-defined.

Mode of Grouped Data

Statistics | Quantitative Aptitude for SSC CGL

where,
l = Lower limit of the modal class (class with maximum frequency is modal class)
h = Size of the class interval
f0 = Frequency of the class preceding to the modal class
f1 = Frequency of the modal class
f2 = Frequency of the class succeeding to the modal class

Example: The  table below shows the number of cars (in lakh) on road of 30 different states
Statistics | Quantitative Aptitude for SSC CGL

What is the mode of the data shown above?
(a) 3.66
(b) 2.66
(c) 3.00
(d) None of the above
Sol. 
(b)
Here, the modal class = 1-3 (as it has the maximum frequency i.e. 10)
l = 1, Class size (h) = 2 ,
f1 = 10, f0 = 0, f2 = 8
Statistics | Quantitative Aptitude for SSC CGL
Statistics | Quantitative Aptitude for SSC CGL

Empirical Relationship between Mean, Median and Mode 

For a moderately skewed distribution, the following relationship is found to be valid
Mode = 3 Median − 2 Mean
where, skewness refers to the degree of departure from a normal i.e. bell shaped symmetrical distribution.

Example: For a given data mean is 39 and mode is 36. Find the median.
(a) 38
(b) 39
(c) 37
(d) 40
Sol. 
(a)
Mode = 3 Median − 2 Mean
⇒ 36 = 3 × Median − 2 × 39
⇒ 36 = 3 × Median − 78
⇒ 36 + 78 = 3 Median ⇒ 114/3 = Median
∴ Median = 38

Solved Example

Q1: Marks obtained by a student in 5 subjects are given below 25, 26, 27, 28, 29 in these obtained marks 27 is
(a) mode
(b) median and mode
(c) mean and median
(d) Both (a) and (c)
Ans: 
(c)
27 is in the middle, so is the median and its the mean too.

Q2: The mean weekly pay for ten persons equals to ₹ 100, if one of the persons gets a hike of `₹ 10 per week, what is the new mean weekly pay?
(a) ₹ 99
(b) ₹ 101
(c) ₹ 200
(d) ₹ 250
Ans:
(b)
Total weekly salary = 100 × 10 = ₹ 1000
After hike, total salary = 1000 + 10 = ₹ 1010
Now, mean weekly salary = 1010/10 = ₹101

Q3: The mode for the following data will be
Statistics | Quantitative Aptitude for SSC CGL(a) 2300
(b) 2500
(c) 1900
(d) 2100
Ans:
(c)
1900 as it has the highest frequency.

Q4: Mean of 11 observations is 17.5. If an observation 15 is deleted, then find the mean of the remaining observations.
(a) 17.5
(b) 17.25
(c) 17.75
(d) None of these
Ans:
(c)
Mean of the 11 observations is 17.5.
Statistics | Quantitative Aptitude for SSC CGL
⇒ Total of 11 observations = ΣXi = 11 × 17.5
= 192.5
One observation 15 is deleted.
i.e. total of 10 observations = 192 . 5 − 15 = 177. 5
∴ Mean of 10 observations = 177.5/10 = 17.75

Q5: The median for the  data  2, 4, 6, 8, 10, 12, 14 is
(a) 6
(b) 8
(c) 9.5
(d) 10
Ans:
(b)
4th observation i.e. 8 is the median.

Q6: The mean of the following data is
Statistics | Quantitative Aptitude for SSC CGL(a) 10
(b) 11
(c) 12
(d) None of these
Ans:
(b)
The mean of the data given below:
Statistics | Quantitative Aptitude for SSC CGLStatistics | Quantitative Aptitude for SSC CGL

Q7: The sales in rupees of a particular soap from Sunday to Saturday are given. Find the mean of daily sales 310, 420, 380, 370, 215, 430, 270.
(a) 342
(b) 342.25
(c) 342.5
(d) None of these
Ans:
(a)
Arithmetic mean,
Statistics | Quantitative Aptitude for SSC CGL
Statistics | Quantitative Aptitude for SSC CGL

Q8:  If 6, 4, 5 and 3 occur with frequencies 2, 2, 5 and 4 respectively, then the arithmetic mean is
(a) 6
(b) 4.38
(c) 6.25
(d) 5.42
Ans:
(b)
Arithmetic mean,
Statistics | Quantitative Aptitude for SSC CGL

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FAQs on Statistics - Quantitative Aptitude for SSC CGL

1. What is the difference between mean, median, and mode?
Ans. The mean is the average of a set of numbers, calculated by adding all the numbers together and dividing by the total count. The median is the middle number in a set when they are ordered from smallest to largest. The mode is the number that appears most frequently in a set of numbers.
2. How are mean, median, and mode used in statistics?
Ans. Mean, median, and mode are used to describe the central tendency of a data set. The mean gives an overall average, the median represents the middle value, and the mode shows the most common value in the data.
3. When is it appropriate to use the mean, median, or mode in data analysis?
Ans. The mean is typically used for data that is normally distributed, while the median is more appropriate for data with outliers or extreme values. The mode is useful for categorical data or when identifying the most common value in a set.
4. How do you calculate the mean, median, and mode of a set of numbers?
Ans. To calculate the mean, add all the numbers together and divide by the total count. To find the median, order the numbers from smallest to largest and find the middle value. To determine the mode, identify which number appears most frequently in the set.
5. Can a data set have more than one mode?
Ans. Yes, a data set can have more than one mode if two or more numbers appear with the same frequency and more often than any other number in the set.
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