Answer:
n = 21
Explanation:
Solution:-
- Let denote a random variable "X" : average distance that commuter students travel to get to class.
- The population is given to be normally distributed, such that:
Range X: [ 0 , 50 ] miles
- We will use the given range coupled with the empirical rule for normal distribution to determine the mean (u) and standard deviation of population (σ):
P ( μ - 3σ < X < μ + 3σ) = 0.997 ..... (Empirical Rule)
- According to the standardized results for Z-table:
P ( -3 < Z < 3 ) = 0.997
So, P ( Z ≤ 3 ) = 1 - (1 - 0.997) / 2 = 0.9985
P ( Z ≥ -3 ) = 1 - (1 - 0.997) / 2 = 0.9985
- The standardized values for the given data can now be determined:
P ( X ≥ μ - 3σ ) = P ( Z ≥ -3 ) = 0.9985
X ≥ μ - 3σ = Upper limit - 0.9985*( Range )
X ≥ μ - 3σ = 50 - 0.9985*( 50 )
μ - 3σ = 0.075 ..... Eq1
P ( X ≤ μ + 3σ ) = P ( Z ≤ 3 ) = 0.9985
X ≤ μ + 3σ = Lower limit + 0.9985*( Range )
X ≤ μ + 3σ = 0 + 0.9985*( 50 )
μ + 3σ = 49.925 ..... Eq2
- Solve the Eq1 and Eq2 simultaneously:
2μ = 50 , μ = 25 miles
3σ = 24.925
σ = 8.30833
- Hence, the normal distribution parameters are:
X ~ N ( μ , σ^2 )
X ~ N ( 25 , 8.308^2 )
- The standard error in estimation of average distance that commuter students travel to get to class is E = ±3 miles for the confidence level of 90%.
- The Z-critical value for confidence level of 90%, Z-critical = 1.645
- The standard error estimation statistics is given by the following relation with "n" sample size.
E = Z-critical*σ /√n
n = [ Z-critical*σ /E ]^2
- Plug in the values:
n = [ 1.645*8.308/3]^2
n = 20.75306 ≈ 21
Answer: The sample size needed to estimate average distance that commuter students travel to get to class with error of ±3 miles and 90 percent confidence, is n = 21.