The fuel efficiency in miles per gallon of all bmw 320i's is (approximately) normally distributed with a mean of 25 and a standa
rd deviation of 2. a dealer receives a shipment of a random sample of 320i's (random with respect to m.p.g., that is) from the factory. find the probability that average fuel efficiency for this shipment is less than 24 miles per gallon if the dealer receives (i) one car, (ii) four cars and (iii) sixteen cars. explain briefly why these three answers differ.
Given: μ = 25 mpg, the population mean σ = 2 mpg, the population standard deviation
If we select n samples for evaluation, we should calculate z-scores that are based on the standard error of the mean. That is,
The random variable is x = 24 mpg.
Part (i): n = 1 σ/√n = 2 z = (24 -25)/2 = -0.5 From standard tables, P(x < 24) = 0.3085
Part (ii): n = 4 σ/√n = 1 z = (24 -25)/1 = -1 P(x < 24) = 0.1587
Part (iii): n=16 σ/√n = 0.5 z = (24 - 25)/0.5 = -2 P(x < 24) = 0.0228
Explanation: The larger the sample size, the smaller the standard deviation. Therefore when n increases, we are getting a result which is closer to that of the true mean.
The temperature on Tuesday afternoon is below 38 degrees Fahrenheit. As it states in the question the temperature on Tuesday morning was 27 degrees Fahrenheit and rose 10 more degrees at noon. Which makes is 37 degrees Fahrenheit at noon on Tuesday. You get this by taking 27 degrees and adding 10 degrees.