Answer:
Explanation:
Since the the rate of obesity is normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = number of obese adults.
µ = mean
σ = standard deviation
From the information given,
p = 20/100 = 0.2
n = 300
µ = np = 300 × 0.2 = 60
q = 1 - p = 1 - 0.2 = 0.8
σ = √npq = √300 × 0.2 × 0.8 = 6.93
The probability that we will find at least 50 people in the sample who are obese is expressed as
P(x ≥ 50) = 1 - P(x < 50)
For x = 50
z = (50 - 60)/6.93 = - 1.44
Looking at the normal distribution table, the probability corresponding to the z score is 0.075
P(x ≥ 50) = 1 - 0.075 = 0.925