Answer:
Reject H0 ; and conclude that call length does not follow a normal distribution.
Explanation:
Given :
The hypothesis :
H0: Call lengths outside normal customer roaming areas follows normal distribution
H1: Call lengths outside normal customer roaming areas do not follows normal distribution
Mean, μ = 14.3
Standard deviation, σ = 3.7
From the frequencies Given :
Expected values can be calculated :
Observed values :
16, 75, 139, 105, 37, 18 ; Total = 400
P(Z < (x - μ) / σ)) * total frequency
x = frequency
For x = 5 ;
P(Z < (5 - 14.3) / 3.7)) * 400 = 2.391
For x = 10;
P(Z < (10 - 14.3) / 3.7)) * 400 = 46.644
For x = 15;
P(Z < (15 - 14.3) / 3.7)) * 400 = 180.960
For x = 20;
P(Z < (20 - 14.3) / 3.7)) * 400 = 145.32
For x = 25;
P(Z < (25 - 14.3) / 3.7)) * 400 = 23.92
For x = 30;
P(Z < (30 - 14.3) / 3.7)) * 400 = 0.766
χ² = Σ(O - E)²/E
O = observed values
E = Expected values
χ² = (26-2.391)^2 / 2.391 + (75-46.644)^2 / 46.644 + (139-180.96)^2 / 180.96 + (105-145.32)^2 / 145.32 + (37-23.92)^2 / 23.92 + (18-0.766)^2 / 0.766 = 666.17
χ² = 666.17
The critical value "; df = n - 1= 6-1 = 5
α = 0.05
χ²critical(0.05 ; 5) = 11.07
χ²statistic > χ²critical ; Reject the Null, H0 ; and conclude that call length does not follow a normal distribution.