Answer:
- Median = 15
- Mean = 13
- Standard Deviation = 5.86 ; Variance = 34.33
Explanation:
1. Measure of central tendency which divides data into 2 equal halves (50% below it , 50% after it is Median
Median Calculation :
Data arranged : 2 , 5 , 8 , 10 , 12 , 15 , 15 , 15 , 16 , 18 , 20 , 20
N = 12 (Even)
Median = (N / 2)th + (N/2 + 1)th observations
2
= [ ( 12/2 )th obs + (12/2 + 1)th obs ] / 2
= [6th + 7th ] / 2
= [15 + 15] / 2
= 15
2. Mean Calculation
Mean = Σ X / N
Σ X = 18 + 15 + 5 + 8 + 15 + 20 + 2 + 16 + 10 + 12 + 20 +15 = 156
N = 12
Mean [ U ] = 156 / 12
Mean = 13
3. Standard Deviation [σ] & Variance Calculation :
Formula : Variance = σ^2 = [ Σ (X - U )^2 ] / N
X - U → 2 , 5 , 8 , 10 , 12 , 15 ,15 , 15 , 16 , 18 , 20 , 20
X - (15) → -13,-10,-7,-5 , -3 , 0 , 0 , 0 , 1 , 3 , 5 , 5
(X - U)^2 →169,100,49,25 , 9 , 0 , 0 , 0 , 1 , 9 , 25 , 25 [ Σ = 412]
Variance = 412 / 12 = 34.33
Standard Deviation = √ Var
√ 34.33 = 5.86