Answer:
Explanation:
Let us assume that x is normally distributed. The sample size is greater than 30. Since the the population mean and population standard deviation are known, we would apply the formula,
z = (x - µ)/(σ/√n)
Where
x = sample mean
µ = population mean
σ = standard deviation
n = number of samples
From the information given,
µ = 50
σ = 7
n = 36
If x is within 0.5 of the population mean, it means that x is between (50 - 0.5) and (50 + 0.5)
the probability is expressed as
P(49.5 ≤ x ≤ 50.5)
For x = 49.5
z = (49.5 - 50)/(7/√36) = - 0.43
Looking at the normal distribution table, the probability corresponding to the z score is 0.334
For x = 49.5
z = (50.5 - 50)/(7/√36) = 0.43
Looking at the normal distribution table, the probability corresponding to the z score is 0.666
Therefore,
P(49.5 ≤ x ≤ 50.5) = 0.666 - 0.334 = 0.332