Answer:
0.8186
Step-by-step explanation:
The formula to use to solve this question is given as:
z = (x-μ)/σ/√n, where
x is the raw score
μ is the population mean
σ is the population standard deviation.
n is the random number of samples
P(z < (x-μ)/σ/√n)
(x-μ) = 1.6 watts
σ = 10 watts
n = 32 amplifiers
Hence,
P(z < 1.6/10/√32)
P(z < 1.6/1.767766953)
P(z < 0.9050966799)
Approximately to 2 decimal places)
P(z < 0.91)
= 0.81859
Rounded to four decimal places, the probability that the mean of the sample would differ from the population mean by less than 1.6 watts is 0.8186.