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Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics - Business Mathematics and Statistics - B Com

MEAN : There are three types of mean :
(i) Arithmetic Mean (A.M.)
(ii) Geometric Mean (G. M.)
(iii) Harmonic Mean (H.M.) Of these the Arithmetic mean is the most commonly used. In fact, if not specifically mentioned by mean we shall always refer to arithmetic Mean (AM) and calculate accordingly.

1. Arithmetic Mean :
(i) Simple Arithmetic mean :

(Calculating mean from ungrouped data) The simple arithmetic mean Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com of a given series of values, say, x1 , x2 ,…….. x n is defined as the sum of these values divided by their total number : thus

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Note. Often we do not write xj , x means summation over all the observations.

Example 1 : Find the arithmetic mean of 3,6,24 and 48.

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

(ii) Weighted Arithmetic Mean : (Calculating the mean from grouped data) If the number x1 , x2 , ……. xn occur f1 , f2…….fn times respectively (i.e. occur with frequencies f1 , f2 ……..fn ) the arithmetic mean is

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Where N = f is the total frequency, i.e., total number of cases. This mean x is called the weighted Arithmetic mean, with weights f1 , f2 …….f n respectively.

In particular, when the weights (or frequencies) f1 , f2……f n are all equal. We get the simple Arithmetic Mean.

Example 2 : If 5, 8, 6 and 2 occur with frequency 3, 2, 4 and 1 respectively, find the Arithmetic mean.

Arithmetic mean  Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Calculation of Arithmetic Mean (or simply Mean) from a grouped frequency distribution –– Continuous Series.
 

(i) Ordinary method (or Direct Method) In this method the mid-values of the class-intervals are multiplied by the corresponding class-frequencies. The sum of products thus obtained is divided by the total frequency to get the Mean. The mean x is given by

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com where x = mid-value of a class and N = total frequency

Example 3 : Calculate the mean of daily-wages of the following table :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Solution:

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

∴ Mean Daily Wages

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

(ii) Shortcut Method (Method of assumed Mean)

In this method, the mid-value of one class interval (preferably corresponding to the maximum frequency lying near the middle of the distribution) is taken as the assumed mean (or the arbitrary origin) A and the deviation from A are calculated. The mean is given by the formula :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com where, d = x – A = (mid value) – (Assumed Mean).

Step deviation method :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Example 4: Compute the Arithmetic Mean of the following frequency distribution :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Solution:

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

∴ Arithmetic Mean

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

(iii) Method of Assumed mean (by using step deviations)

 

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

Calculation of A. M. from grouped frequency distribution with open ends

If in a grouped frequency distribution, the lower limit of the first class or the upper limit of the last class are not known, it is difficult to find the A.M. When the closed classes (other than the first and last class) are of equal widths, we may assume the widths of the open classes equal to the common width of closed class and hence determine the AM. But we can find Median or Mode without assumption.

Properties of Arithmetic Mean :

1. The sum total of the values fx is equal to the product of the number of values of their A.M.
e.g. Nx = fx.

2. The algebraic sum of the deviations of the values from their AM is zero. If x1 , x2……xn are the n values of the variable x and Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com their AM then Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com are called the deviation of x1 , x2 ………..xn respectively from from

Algebraic sum of the deviations  Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B ComArithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

Similarly, the result for a weighted AM can be deduced.

3. If group of n1 values has AM. Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com  and another group of n2 values has AM Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com , then A.M. ( x ) of the composite group (i.e. the two groups combined) of n1 + n2 values is given by

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com In general, for a group the AM Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com is given by

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Example 5: The means of two samples of sizes 50 and 100 respectively are 54.1 and 50.3. Obtain the mean of the sample size 150 obtained by combining the two sample.

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Finding of missing frequency : In a frequency distribution if one (or more) frequency be missing (i.e. not known) then we can find the missing frequency provided the average of the distribution is known. The idea will be clear from the following example :

For one missing frequency :

Example 6 : The AM of the following frequency distribution is 67.45. Find the value of f3 , Let A = 67. Now using the formula.

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Solution:
Calculation of missing frequency

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Let A = 67. Now using the formula

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

For two missing frequencies :

Example 7: The A.M. of the following frequency distribution is 1.46

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Find f1 and f2 ? Let, x = No. of accidents, f = No. of days

Solution:

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

f 2 = 200 – (46 + 76 + 25 + 10 + 5) = 38

Example 8 : Arithmetic mean of the following frequency distribution is 8.8. Find the missing frequencies :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

Solution:

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com ​ Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Wrong Observation :

After calculating A.M. Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com of n observations if it is detected that one or more observations have been taken wrongly (or omitted), then corrected calculation of A.M. will be as follows : Let wrong observations x1 , y1 being taken instead of correct values x, y then corrected x = given x – (x1 + y1 ) + (x + y), in this case total no. of observations will be same.

Example 9. The mean of 20 observations is found to be 40. Later on, it was discovered that a marks 53 was misread as 83. Find the correct marks.

Wrong x = 20 × 40 = 800, Correct x = 800 – 83 + 53 = 770

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Example 10. A.M. of 5 observations is 6. After calculation it has been noted that observations 4 and 8 have been taken in place of observations 5 and 9 respectively. Find the correct A.M.

 

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B ComArithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

 

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Calculation of A.M. from Cumulative Frequency Distribution
At first we are to change the given cumulative frequency distribution into a general form of frequency distribution, then to apply the usual formula to compute A.M. the idea will be clear from the following examples.

Example 11 : Find A.M. of the following distributions :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

(i) The difference between any two variables is 4; so the width of class-intervals will be 4. Accordingly, we get the general group frequency distribution as follows :

Solution:

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Let A = 10

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Let A = 7.5

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Advantages of Arithmetic Mean
(i) It is easy to calculate and simple to understand.
(ii) For counting mean, all the data are utilised. It can be determined even when only the number of items and their aggregate are known.
(iii) It is capable of further mathematical treatment.
(iv) It provides a good basis to compare two or more frequency distributions. (v) Mean does not necessitate the arrangement of data.

 Disadvantages of Arithmetic Mean
(i) It may give considerable weight to extreme items. Mean of 2, 6, 301 is 103 and more of the values is adequately represented by the mean 103.
(ii) In some cases, arithmetic mean may give misleading impressions. For example, average number of patients admitted in a hospital is 10.7 per day, Here mean is a useful information but does not represent the actual item.
(iii) It can hardly be located by inspection.

Example 12 : Fifty students appeared in an examination. The results of passed students are given below :

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

The average marks for all the students is 52. Find out the average marks of students who failed in the examination.

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Let average marks of failed students  Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com ∴required average marks = 21.

Example 13. From the following frequency table, find the value of x if mean is 23.5

Class : 50–59         40–49         30–39          20 –29       10–19         0–9
frequency : x – 4       x – 2          x + 3            x + 5          x + 10        x –2

Solution:​

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

∴ Here, i = width of the class = 10.

 

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com or, x = 5 (on reduction).

 

Example 14 : The mean salary of all employees of a company is ` 28,500.The mean salaries of male and female employees are ` 30,000 and ` 25,000 respectively. Find the percentage of males and females employed by the company.

Let number of male employees be n1 and that of female be n2 . We know  Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

 

The document Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com is a part of the B Com Course Business Mathematics and Statistics.
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FAQs on Arithmetic Mean - Measures of Central Tendency, Business Mathematics & Statistics - Business Mathematics and Statistics - B Com

1. What is the arithmetic mean and how is it calculated?
The arithmetic mean is a measure of central tendency that is commonly used in statistics. It is calculated by summing up all the values in a dataset and then dividing the sum by the total number of values.
2. What is the significance of the arithmetic mean in business mathematics and statistics?
The arithmetic mean is widely used in business mathematics and statistics because it provides a representative value of a dataset. It helps in analyzing and interpreting data, making predictions, and making informed business decisions.
3. Can the arithmetic mean be affected by outliers in a dataset?
Yes, the arithmetic mean can be heavily influenced by outliers in a dataset. Outliers are extreme values that are significantly different from the other values in the dataset. If there are outliers present, they can significantly skew the mean and may not provide an accurate representation of the dataset.
4. How does the arithmetic mean compare to other measures of central tendency, such as the median and mode?
The arithmetic mean differs from the median and mode in how it considers all values in a dataset. The median is the middle value when the data is arranged in ascending or descending order, while the mode is the value that appears most frequently. The mean takes into account all values, which can be advantageous as it considers the magnitude of each value.
5. Can the arithmetic mean be used for qualitative data?
No, the arithmetic mean is not suitable for qualitative data. Qualitative data consists of non-numerical categories or attributes, such as colors or opinions. The arithmetic mean relies on numerical values and mathematical calculations, so it is only applicable to quantitative data. For qualitative data, other measures of central tendency, such as the mode, are more appropriate.
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