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The manager of a restaurant that delivers pizza to college dormitory rooms has just changed the)delivery process in an effort to reduce the mean time between the order and the completion of the delivery from the current 30 minutes. A sample of 40 orders using the new delivery process yields a mean of 27.5 minutes and a standard deviation of 4 minutes. Using the steps of p- value approach (a) at 0.01 level of significance , is there an evidence that the population mean delivery time has been reduced below the previous population mean of 30 minutes? (b) what is your decision if the testing is done at 0.05? (c) Give your interpretation of your answer in (b).
Measurements of scientific systems are always subject to variation, some more than others. There are many structures for measurement error, and statisticians spend a great deal of time modeling these errors. Suppose the measurement error X of a certain physical quantity is decided by the density function

f(x)= {k(3-x^2), -1<x<1,
.........0,(included on the bracket) elsewhere

(a) Determine k that renders f(x) a valid density function. (Fraction form)
(b) Find the probability that a random error is more than 0. (Fraction form)
(c) Find the probability that a random error is within -1/2 and 1/2. (Fraction form)
The shelf life, in days, for bottles of a certain prescribed medicine is a random variable having the density function below. Find the probability that a bottle of this medicine will have a shell life of

f(x)= {20000/(x+100)^3, x>0,
.........0,(included on the bracket) elsewhere.

(a) at least 365 days. (Decimal form)
(b) at most 365 days. (Decimal form)

 A shipment of 7 television sets contains 2 defective sets. A hotel makes a random purchase of 3 of the sets. Considering that y is the number of non-defective sets purchased by the hotel


(a) What are the values for the set of y?

(b) What is the probability of purchasing 2 non-defective television sets? (Fraction form)

(c) make a probability distribution table.


Sport utility vehicles (SUVs) vans, picks up are generally considered to be more prone to roll over than cars. In 1997, 24.0% of all highway fatalities involved rollovers: 15.8% of all fatalities in 1997 involved SUVs vans and pickups given that fatality involved a rollover. Given that a rollover was not involved 5.6% of all fatalities involved SUVs vans and pickups.

Consider the following definitions: A= fatality involved an SUV van or pickup B=fatality involved an rollover

a. If a highway fatality is selected at random, what is the probability that the fatality involved an SUV a van or pickup?

b.Use Bayes' theorem to find the probability that a fatality involved a rollover given that the fatality involved an SUV a van or pickup


Sport utility vehicles (SUVs) vans, picks up are generally considered to be more prone to roll over than cars. In 1997, 24.0% of all highway fatalities involved rollovers: 15.8% of all fatalities in 1997 involved SUVs vans and pickups given that fatality involved a rollover. Given that a rollover was not involved 5.6% of all fatalities involved SUVs vans and pickups.
Consider the following definitions: A= fatality involved an SUV van or pickup B=fatality involved an rollover
a. If a highway fatality is selected at random, what is the probability that the fatality involved an SUV a van or pickup?
b.Use Bayes' theorem to find the probability that a fatality involved a rollover given that the fatality involved an SUV a van or pickup.
(a) The time X minutes , taken by Fred Fast to install a satellite dish may be assumed to be a random variable with mean 134 and standard deviation 16.

i) Determine P(X<150) (3Marks)
ii) Determine to one dp the time exceeded by 10% of installations. (4Marks)

b) The time Y minutes taken by Sid Slow to install a satellite dish may also be assumed a normal random variable but with

P(Y<170)=0.14 and P(Y>200)=0.03

Determine to the nearest minute value for the mean and standard deviation of Y. (6Marks)

Please show all working thanks
For a binomial distribution, prove that the variance is less than the mean.
prove that binomial distribution does not have the additive or reproductive property also find the condition under which the additive property holds.
calculate moment generating function of binomial distribution and hence calculate μ1,μ2, μ3 and μ4.
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