A cement delivery company has a fleet of trucks that weigh 6,700 kg unloaded. The trucks are loaded with 800 bags of cement, each with a mean weight of 44 kg and a standard deviation of 5 kg. Assume that the bag weights are independent and identically distributed. Truck weights are limited to 42,000 kg to avoid damaging the road. a) What is the probability that the truck will have excess weight (i. e., above the 42,000 kg limit) less than 125 kg?
b) What is the probability that the truck will have excess weight between 125 kg and 200 kg?
c) What is the probability that the truck will have excess weight above 200 kg?

b

step-by-step explanation:

u take $75 minus $60.the anwer/original($75)multiply by 100

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;