Answer:
Probability that the sample proportion is between 0.24 and 0.46 is 0.936.
Step-by-step explanation:
We are given that based on historical data, your manager believes that 29% of the company's orders come from first-time customers.
A random sample of 169 orders will be used to estimate the proportion of first-time-customers.
Let [tex]\hat p[/tex] = sample proportion
Now, the z score probability distribution for sample proportion is given by;
Z = [tex]\frac{\hat p -p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }[/tex] ~ N(0,1)
where, p = % of the company's orders that come from first-time customers = 29%
n = sample of orders = 169
So, probability that the sample proportion is between 0.24 and 0.46 is given by = P(0.24 < [tex]\hat p[/tex] < 0.46) = P([tex]\hat p[/tex] < 0.46) - P([tex]\hat p[/tex] [tex]\leq[/tex] 0.24)
P([tex]\hat p[/tex] < 0.46) = P( [tex]\frac{\hat p -p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }[/tex] < [tex]\frac{0.46-0.29}{\sqrt{\frac{0.46(1-0.46)}{169} } }[/tex] ) = P(Z < 4.4) = 0.99999
P([tex]\hat p[/tex] [tex]\leq[/tex] 0.24) = P( [tex]\frac{\hat p -p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }[/tex] [tex]\leq[/tex] [tex]\frac{0.24-0.29}{\sqrt{\frac{0.24(1-0.24)}{169} } }[/tex] ) = P(Z [tex]\leq[/tex] -1.52) = 1 - P(Z < 1.52)
= 1 - 0.93574 = 0.06426
Therefore, P(0.24 < [tex]\hat p[/tex] < 0.46) = 0.99999 - 0.06426 = 0.936
Hence, probability that the sample proportion is between 0.24 and 0.46 is 0.936.