The sum of mean and variance of a given set is 15/2 and their number of trials is 10, then find the value of variance?
Step 1: Define Mean and Variance
Let's denote the mean as μ and the variance as σ². We are given that their sum is 15/2.
μ + σ² = 15/2
Step 2: State the Number of Trials
We are also given that the number of trials is 10.
n = 10
Step 3: State the Relationship Between Variance and Mean
The problem provides a relationship between the variance and the mean: σ² = μ/n
Step 4: Substitute the Variance Relationship into the Sum Equation
Substitute σ² = μ/n into the equation μ + σ² = 15/2:
μ + (μ/n) = 15/2
Step 5: Multiply by n to Simplify
Multiply both sides of the equation by n:
nμ + μ = (15/2) * n
Step 6: Factor Out μ
Factor out μ:
μ * (n + 1) = (15/2) * n
Step 7: Solve for μ
Divide both sides of the equation by (n + 1):
μ = (15/2) * n / (n + 1)
Step 8: Substitute n = 10
Substitute the value of n = 10:
μ = (15/2) * 10 / (10 + 1)
μ = (15/2) * 10 / 11
μ = 150/22
μ = 75/11
Step 9: Calculate μ
μ = 75/11
Step 10: Substitute μ Back into the Variance Equation
Now we can substitute the value of μ back into the equation for the variance σ² = μ/n:
σ² = (75/11) / 10
Step 11: Calculate Variance
σ² = 75 / (11 * 10)
σ² = 75 / 110
σ² = 15 / 22
Step 12: State the Final Result
Therefore, the value of the variance is 15/22.
According to layman’s words, the variance is a measure of how far a set of data are dispersed out from their mean or average value. It is denoted as ‘σ2’.
Read More: Difference Between Variance and Standard Deviation
The spread of statistical data is measured by the standard deviation. Distribution measures the deviation of data from its mean or average position. The degree of dispersion is computed by the method of estimating the deviation of data points. It is denoted by the symbol, ‘σ’.
1. Population Standard Deviation
2. Sample Standard Deviation