How to Calculate Arithmetic Mean of Ungrouped Data?

Mean of ungrouped data is the arithmetic average of individual observations listed without class intervals. It is calculated by dividing the sum of all observations by their number. This page covers the direct formula, assumed mean method, properties, shortcuts and solved numerical examples for quantitative aptitude.

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What Is the Mean of Ungrouped Data?

The mean of ungrouped data is the sum of all individual observations divided by the total number of observations.

If the observations are x₁, x₂, x₃, ..., xₙ, then their arithmetic mean is x̄ = (x₁ + x₂ + x₃ + ... + xₙ) ÷ n. For the data 6, 9, 11 and 14, the mean is (6 + 9 + 11 + 14) ÷ 4 = 40 ÷ 4 = 10.

Mean of Ungrouped Data Video Lessons

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Mean by Direct Method

Learn to calculate the arithmetic mean of ungrouped data using the direct method, including the formula, substitution of values, and step-by-step calculation.

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Mean of Ungrouped Data Formula & Tricks

Important Formulas

Direct formula
x̄ = Σx ÷ n

Here, Σx is the sum of all observations and n is the number of observations.

Assumed mean formula
x̄ = A + (Σd ÷ n), where d = x − A

A is a convenient assumed mean and d is the deviation of each observation from A.

Missing observation
Missing value = (Required mean × Total observations) − Sum of known observations

Use this relation when the mean and all observations except one are given.

Quick Tricks

Use deviations from a convenient value

When observations are close to a common number, choose that number as A. Add the deviations to A instead of adding every observation directly.

Example: For 48, 51, 53 and 56, take A = 50. Deviations are −2, 1, 3 and 6, so mean = 50 + (8 ÷ 4) = 52.
Mean changes by the same constant

If k is added to every observation, the mean increases by k. If k is subtracted from every observation, the mean decreases by k.

Example: If the mean of 7, 10 and 13 is 10, adding 4 to each value gives a new mean of 14.
Mean changes proportionally under multiplication

If every observation is multiplied by k, the new mean is k times the original mean. This also applies when all observations are converted using a fixed multiplication factor.

Example: If the mean of three lengths is 2.5 m, their mean in centimetres is 2.5 × 100 = 250 cm.

Mean of Ungrouped Data Concepts

Direct Method

The direct method finds the mean by adding all observations and dividing the sum by their count.

Write each observation once, calculate Σx, count the observations as n, and apply x̄ = Σx ÷ n. All observations must use the same unit before the calculation.

Example: For 12, 18, 20, 25 and 30, Σx = 105 and n = 5. Therefore, x̄ = 105 ÷ 5 = 21.

Assumed Mean Method

The assumed mean method calculates the average using deviations from a selected value A.

For each observation x, calculate d = x − A. Then use x̄ = A + Σd ÷ n. Positive deviations belong to observations greater than A, while negative deviations belong to observations less than A.

Example: For 96, 99, 101 and 104, take A = 100. The deviations are −4, −1, 1 and 4, whose sum is 0. Hence, x̄ = 100.

Effect of Changing Observations

Adding or subtracting a constant from every observation changes the mean by the same constant.

If each value x becomes x + k, the new mean is x̄ + k. If each value is multiplied by k, the new mean is kx̄. If one observation changes by k while the number of observations remains n, the mean changes by k ÷ n.

Example: The mean of 8, 12, 16 and 20 is 14. If 12 is replaced by 20, the total increases by 8, so the new mean is 14 + 8 ÷ 4 = 16.

Finding a Missing Observation

A missing observation equals the required total of all observations minus the sum of the known observations.

First calculate the required total as mean × number of observations. Then subtract the sum of the available observations. The number of observations includes the missing value.

Example: If the mean of five numbers is 18 and four numbers total 64, the missing number is 18 × 5 − 64 = 26.

Combined Mean of Two Data Sets

The combined mean is the total sum of both data sets divided by their combined number of observations.

If two groups have sizes n₁ and n₂ and means x̄₁ and x̄₂, then combined mean = (n₁x̄₁ + n₂x̄₂) ÷ (n₁ + n₂). It is not generally the simple average of the two means unless both groups have equal sizes.

Example: A group of 4 has mean 15 and a group of 6 has mean 20. Combined mean = (4 × 15 + 6 × 20) ÷ 10 = 180 ÷ 10 = 18.

Mean of Ungrouped Data Data Table

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Methods for Finding the Mean

Comparison of direct and assumed mean calculations for ungrouped data.

Method Calculation Suitable use
Direct method x̄ = Σx ÷ n Observations are few or easy to add
Assumed mean method x̄ = A + Σd ÷ n Observations are close to a convenient value
Missing-value method Missing value = required total − known total Mean and all but one observation are given

Note: In every method, n represents the total number of observations, including a missing observation if one is being found.

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Quick Revision Notes

Mean of Ungrouped Data: Revision Points

Key formulas and rules for quick revision.

  • Mean = Sum of observations ÷ Number of observations.
  • Direct formula: x̄ = Σx ÷ n.
  • Assumed mean formula: x̄ = A + Σd ÷ n, where d = x − A.
  • Adding k to every observation adds k to the mean.
  • Multiplying every observation by k multiplies the mean by k.
  • If one value changes by k among n observations, the mean changes by k ÷ n.
  • Missing value = Required mean × Total observations − Sum of known observations.
  • For two groups, combined mean = (n₁x̄₁ + n₂x̄₂) ÷ (n₁ + n₂).

Mean of Ungrouped Data FAQs

What is the mean of 5, 10, 15 and 20?

Mean = (5 + 10 + 15 + 20) ÷ 4 = 50 ÷ 4 = 12.5.

Which formula is used for the mean of ungrouped data?

The formula is x̄ = Σx ÷ n, where Σx is the sum of observations and n is their total number.

How do you find a missing number when the mean is given?

Use Missing value = (Mean × Total number of observations) − Sum of known observations. For a mean of 12 for four numbers with known sum 31, the missing value is 48 − 31 = 17.

What happens to the mean if 6 is added to every observation?

The mean also increases by 6 because adding a constant to every observation adds the same constant to their average.

Can the mean be a decimal when all observations are integers?

Yes. For example, the mean of 2, 3 and 4 is 9 ÷ 3 = 3, while the mean of 1, 2 and 4 is 7 ÷ 3 = 2⅓.

Why is the simple average of two means not always the combined mean?

The groups may have different sizes. A group-size-weighted formula is required: combined mean = (n₁x̄₁ + n₂x̄₂) ÷ (n₁ + n₂).

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