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Mode?
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 1
Mode
The value which appears most often in the given data i.e. the observation
with the highest frequency is called a mode of data.
Case 1: Ungrouped Data
For ungrouped data, we just need to identify the observation which occurs
maximum times..
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 2
Mode = Observation with maximum frequency
For example in the data: 6, 8, 9, 3, 4, 6, 7, 6, 3 the value 6 appears the most
number of times. Thus, mode = 6. An easy way to remember mode is: Most Often
Data Entered.
Note: A data may have no mode, 1 mode, or more than 1 mode. Depending upon
the number of modes the data has, it can be called unimodal, bimodal, trimodal,
or multimodal. The example discussed above has only 1 mode, so it is unimodal.
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 3
Types of Mode
1. Bimodal Mode
A set of data with two Modes is known as a Bimodal Mode. This means that
there are two data values that are having the highest frequencies. For example, the
Mode of data set A = { 8,13,13,14,15,17,17,19} is 13 and 17 because both 13 and
17 are repeating twice in the given set.
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 4
Types of Mode
2. Trimodal Mode
A set of data with three Modes is known as a Trimodal Mode. This means that
there are three data values that are having the highest frequencies. For example,
the Mode of data set A = {2, 2, 2, 3, 4, 4, 5, 6, 5,4, 7, 5, 8} is 2, 4, and 5 because
all the three values are repeating thrice in the given set.
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 5
Case 2: Grouped Data
When the data is continuous, the mode can be found using the following steps:
Step 1: Find modal class i.e. the class with maximum frequency.
Step 2: Find mode using the following formula:
Mode = l+[fm−f12fm−f1−f2]×h
where, l = lower limit of modal class, fm=frequency of modal class,
f1= frequency of class preceding modal class, f2= frequency of class succeeding
modal class, h = class width
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 6
Consider the following example to understand the formula.
Example: Find the mode of the given data:
Marks Obtained 0-20 20-40 40-60 60-80 80-100
Number of students 5 10 12 6 3
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 7
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 8
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 9
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 10
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 11
Relation Between Mean, Median and Mode
The three measures of central values i.e. mean, median, and mode are
closely connected by the following relations (called an empirical
relationship).
2Mean + Mode = 3Median
For instance, if we are asked to calculate the mean, median, and mode of
continuous grouped data, then we can calculate mean and median using the
formulas as discussed in the previous sections and then find mode using
the empirical relation.
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 12
• For example, we have data whose mode = 65 and median = 61.6.
• Then, we can find the mean using the above mean, median, and mode relation.
• 2Mean + Mode = 3 Median
• ∴2Mean = 3 × 61.6 - 65
• ∴2Mean = 119.8
• ⇒ Mean = 119.8/2
• ⇒ Mean = 59.9
Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 13

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Unit 1 bp801 t d mode 24022022

  • 1. Mode? Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 1
  • 2. Mode The value which appears most often in the given data i.e. the observation with the highest frequency is called a mode of data. Case 1: Ungrouped Data For ungrouped data, we just need to identify the observation which occurs maximum times.. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 2
  • 3. Mode = Observation with maximum frequency For example in the data: 6, 8, 9, 3, 4, 6, 7, 6, 3 the value 6 appears the most number of times. Thus, mode = 6. An easy way to remember mode is: Most Often Data Entered. Note: A data may have no mode, 1 mode, or more than 1 mode. Depending upon the number of modes the data has, it can be called unimodal, bimodal, trimodal, or multimodal. The example discussed above has only 1 mode, so it is unimodal. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 3
  • 4. Types of Mode 1. Bimodal Mode A set of data with two Modes is known as a Bimodal Mode. This means that there are two data values that are having the highest frequencies. For example, the Mode of data set A = { 8,13,13,14,15,17,17,19} is 13 and 17 because both 13 and 17 are repeating twice in the given set. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 4
  • 5. Types of Mode 2. Trimodal Mode A set of data with three Modes is known as a Trimodal Mode. This means that there are three data values that are having the highest frequencies. For example, the Mode of data set A = {2, 2, 2, 3, 4, 4, 5, 6, 5,4, 7, 5, 8} is 2, 4, and 5 because all the three values are repeating thrice in the given set. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 5
  • 6. Case 2: Grouped Data When the data is continuous, the mode can be found using the following steps: Step 1: Find modal class i.e. the class with maximum frequency. Step 2: Find mode using the following formula: Mode = l+[fm−f12fm−f1−f2]×h where, l = lower limit of modal class, fm=frequency of modal class, f1= frequency of class preceding modal class, f2= frequency of class succeeding modal class, h = class width Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 6
  • 7. Consider the following example to understand the formula. Example: Find the mode of the given data: Marks Obtained 0-20 20-40 40-60 60-80 80-100 Number of students 5 10 12 6 3 Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 7
  • 8. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 8
  • 9. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 9
  • 10. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 10
  • 11. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 11
  • 12. Relation Between Mean, Median and Mode The three measures of central values i.e. mean, median, and mode are closely connected by the following relations (called an empirical relationship). 2Mean + Mode = 3Median For instance, if we are asked to calculate the mean, median, and mode of continuous grouped data, then we can calculate mean and median using the formulas as discussed in the previous sections and then find mode using the empirical relation. Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 12
  • 13. • For example, we have data whose mode = 65 and median = 61.6. • Then, we can find the mean using the above mean, median, and mode relation. • 2Mean + Mode = 3 Median • ∴2Mean = 3 × 61.6 - 65 • ∴2Mean = 119.8 • ⇒ Mean = 119.8/2 • ⇒ Mean = 59.9 Dr. Ashish Suttee, M.Pharm., MBAHCS., PGD Stat., Ph.D. 13