We will use the sampling distribution of the sample mean.
μ = 536 grams (population mean)
σ = 10 grams (population standard deviation)
n = 24 fruits (sample size)
Calculate the standard error of the sample mean.
SE = σ / √n = 10 / √24 ≈ 2.0412
Find two different z-scores using the formula. Then use the table from the textbook or online to find the probability.
z1 = (X1 - μ) / SE = (529 - 536) / 2.0412 ≈ -3.43
z2 = (X2 - μ) / SE = (539 - 536) / 2.0412 ≈ 1.47
P(z1 < -3.43) ≈ 0.0003
P(z2 < 1.47) ≈ 0.9292
P(-3.43 < z < 1.47) ≈ 0.9292 - 0.0003 ≈ 0.9289
The probability that the mean weight of 24 randomly selected fruits will be between 529 and 539 grams is about 0.9289.