Given the data below for the actual sale of cases of beer for eight days (Sunday – Sunday)
ANSWER
MONTH
Actual SALE OF CASES OF BEER
Sun
440
Mon
650
Tue
652
Wed
550
Thu
456
Fri
421
Sat
652
Sun
587
Monday
????
(a)Forecast using a 4 month simple moving average, 3 month weighted moving average (using weights of 4, 3, and 1, respectively), and an exponential smoothing at alpha = 0.27(9 marks)
(b)Using the MAD Error Analysis, determine which forecast is preferred.(9 marks)
(c)Use the preferred method to forecast Monday of the following Week.(2 marks)
1.A fitness center claims that its members lose an average of 12 pounds or more the first month after joining the center. An independent agency that wanted to check this claim took a sample of 45 members and found that they lost an average of 10 pounds within the first month with standard deviation of 3 pounds. Find the p-value for this test. What will your decision be if 𝛼 = 0.05?
Carl has completed 8 math homework assignments that are all worth 20 points, and his mean score is 17. Carlos has two more 20-point homework assignments to complete before his progress report gets sent out, and he wants to raise his mean score to an 18. Is it possible for Carlos to raise his mean score to an 18? If it is possible, explain what scores he would need to get, and if not, explain why not.
Suppose that the probability that a corn seed from a certain batch does not germinate equals 0.02. If we plant 200 of these seeds, what is the probability that
• A) At most 5 seeds will not germinate?
• B) Exactly 3 will not germinate?
• C) At least 3 will not germinate?
Suppose that the occurrence of accidents in a large industrial plant satisfies the three
assumptions for the Poison process. Suppose also that accidents occur at the rate of ½ per week. Let X be the number of accidents that will occur in a period of the next six weeks.
• A) What is the parameter λ?
• B) Write down the pdf of X.
• C) Find E(X), Var(X) and mgf of X
• D) What is the probability that exactly 3 accidents will occur?
• E) What is the probability that no accidents will occur?
F) If the number of accidents occurring on a highway each day is a poison random variable with parametor "\\lambda"=3 what is the probability that no
accidents occur today?
1.Electric fuses produced by PEM Electric are packaged in boxes of 12 units each. Suppose an inspector randomly selects three of the 12 fuses in a box for testing. If the box contains exactly five defective fuses, what is the probability that the inspector will find exactly one of the three fuses defective?
• Find 𝐸(𝑋) and 𝑉ar(𝑋)
• What is the probability of finding at least 1 defective fuse?
2.There are 20 television sets in a village at a given time. 9 of them are tuned to channel 1,while 11 of them are tuned to channel 2. A sample of size 5 of the 20 sets is randomly selected at this specific time, and it is observed for each of the 5, whether the set is tuned to channel 1 or 2. Let X be the number of sets in the sample that are tuned to channel 1.
• A) What is the probability distribution function of X?
• B) What is the probability that 3 or more TV sets in the sample are tuned to channel 1?
• C) What is the expected value and variance of X?
An oil company conducts a geological study that indicates that an exploratory oil well should have a 20% chance of striking oil.
• A) What is the probability that the first strike comes on the third well
drilled?
• B) What is the probability that the third strike comes on the seventh
well drilled?
A box of bulbs is inspected. The inspector draws a bulb randomly and independently, and tests it until he finds 10 defective bulbs. Suppose 5% of all bulbs are defective. Let X be the number of bulbs tested in order to find 10 defective bulbs.
• A) What is the distribution of X?
• B) What is the expected number of bulbs that must be tested in order to get 10 defective bulbs?
• C) What is the variance of X?
• D) What is the probability that 15 bulbs will be tested in order to find
10 defective bulbs?
1.A box of billiard balls is inspected. The inspector draws a ball randomly and independently until he finds a ball with a certain brand. It is known that 10% of all balls have that specific brand.
• a). What is the probability distribution function of 𝑋?
• b). What is 𝐸(𝑋) , 𝑉(𝑋) and 𝑀𝑋(𝑡) ?
• c). What is the probability that 10 balls will be drawn before finding one ball with the required brand?
2.A fair coin is flipped until a head occurs. What is the probability that less than 3 flips are required; that less than 4 flips are required?
1.....Let X be a random variable with a binomial distribution. Then
E(X) = np
V(X) = npq
Mx(t) = (pet + q)n
Using the direct method, prove the above theorems.
2.....9% of students in the class have their bank balances greater than M500. Suppose that 10 students are selected at random to be interviewed about their bank balances
i) What is the probability that two students will have their bank balances greater than M500?
ii) What is the probability that none will have a bank balance greater than M500?