Problem 4-11 (Algorithmic)
Edwards Manufacturing Company purchases two component parts from three different suppliers. The suppliers have limited capacity, and no one supplier can meet all the company’s needs. In addition, the suppliers charge different prices for the components. Component price data (in price per unit) are as follows:
Supplier | |||
---|---|---|---|
Component | 1 | 2 | 3 |
1 | $10 | $14 | $10 |
2 | $12 | $12 | $10 |
Each supplier has a limited capacity in terms of the total number of components it can supply. However, as long as Edwards provides sufficient advance orders, each supplier can devote its capacity to component 1, component 2, or any combination of the two components, if the total number of units ordered is within its capacity. Supplier capacities are as follows:
Supplier | 1 | 2 | 3 |
---|---|---|---|
Capacity | 650 | 925 | 800 |
If the Edwards production plan for the next period includes 1025 units of component 1 and 825 units of component 2, what purchases do you recommend? That is, how many units of each component should be ordered from each supplier? Round your answers to the nearest whole number. If your answer is zero, enter "0".
Supplier | |||
---|---|---|---|
1 | 2 | 3 | |
Component 1 | |||
Component 2 |
What is the total purchase cost for the components? Round your answer to the nearest dollar.
$ ____________
In: Math
Please answer the following questions based on the analysis in excel.
1. Calculate the mean, standard deviation, and variance of the two samples. Embed the answers in the data sheet.
2. Calculate the degrees of freedom for a t test assuming the population standard deviation is unknown with unequal variance between samples.
3. Perform a two-tailed two-sample mean test assuming the population standard deviation is unknown with unequal variance. (.01 significance level)
4. State your conclusion from the two-tailed test.
M car | J car |
31 | 27 |
30 | 29 |
29 | 27 |
30 | 28 |
33 | 28 |
36 | 29 |
31 | 30 |
29 | 28 |
28 | 30 |
34 | 25 |
26 | 27 |
32 | 25 |
28 | 28 |
28 | 26 |
32 | 24 |
28 | 25 |
33 | 31 |
33 | 28 |
28 | 26 |
27 | 28 |
35 | 25 |
30 | 28 |
26 | 27 |
31 | 28 |
27 | |
26 | |
28 | |
25 | |
In: Math
In Texas Hold’em, each player is dealt two cards from the deck. Obviously, this is done without replacement, so you cannot use the binomial distribution. You can use the hypergeometric distribution or reason from first principles.
a) What is the probability of being dealt a pair? Express it as an exact fraction and an approximate percentage.
b) If you are dealt two unpaired cards, say the ace of clubs and the 8 of diamonds, what is the chance of getting a pair or better on the flop? The flop is three cards dealt all at once, and we want to know the chance that the flop will contain at least one ace or at least one 8.
In: Math
Appendix Two: Party Loyalist? (Y = yes, N = no)
Y Y Y N Y N Y N Y N Y
N Y Y Y Y Y N N N Y Y
Y Y Y Y Y Y Y Y Y Y Y
N Y N N Y N Y Y N Y N
Y N N N Y Y Y N Y Y N
In: Math
In: Math
One genetic disease was tested positive in both parents of one family. It has been known that any child in this family has a 25% risk of inheriting this disease. A family has three children. The probability of this family having one child who inherited this genetic disease is:
In: Math
The risk of HIV:
The risk of HIV runs high in North America. In the at-risk population, about 1 in 30 people are HIV carriers, while in general population (people who are not at risk), 1 in 300 are. The at-risk population is 2% in total in North America. Doctors have developed a test for HIV and suppose that it correctly identifies carriers 95% of the time, while it correctly identifies the disease-free only 90%. As the test detects HIV only, you can assume that it is conditionally independent of being at risk, given carrier or not-carrier status.
a. If a random person is sampled, what is the probability that he/she is a carrier?
b. Given that a person has a positive test result and is not in the at-risk population, what is the probability that he/she is a carrier?
In: Math
How would bias impact developing of accurate predictive models? How would you minimize the impact of bias?
In: Math
Hypotheses can be written as questions, statements and equality/inequalities. To be truly proficient, you must be able to interpret a hypothesis, regardless of how it is expressed.
Hypothesis: |
Explain in words. |
Directional or Non-directional? |
Null or Alternative? |
Example: |
μ0 = μ1 |
||||
μ0 < μ1 |
||||
μ0 > μ1 |
In: Math
A financial planning firm has a decision to make. The company can buy more stocks (B) now, not buy and not sell stock (N) now, or it can sell its stock (S) now.
The following is from the Google Dictionary:
Bear Market: a market in which prices are falling, encouraging selling.
Bull Market: a market in which share prices are rising, encouraging buying.
The future market will be either Bear (E) or Bull (U).
The following is a payoff table, in thousands of dollars, of
profit or loss for this firm based on the decision the firm makes
now and the future market.
E | U | |
B | 44 | -29 |
N | 24 | -11 |
S | 18 | 4 |
The statisticians of the company, using their standard budget, predict the following probabilities:
P(E) = 0.72 P(U) = Complement
The statisticians report that if the company is charged and additional $5,000 above the standard fee, they can do more accurate research to obtain sample information that will either be Favorable (F) or Unfavorable (X) with the following probabilities:
P(F) = 0.7 P(X) = Complement
If the research is favorable, the revised probabilities are:
P(E) = 0.82 P(U) = Complement
If the research is unfavorable, the revised probabilities are:
P(E) = 0.31 P(U) = Complement
Do all calculations, including making the decision tree and any algebra, in Excel; organize it and highlight important boxes in colors so that it can be read and understood very easily. Put question numbers next to the answers. You may want to use multiple sheets, but please use only one file. Write out all answers, including #15 and #21 in Excel. For all algebra, show work [the written steps you went through to find the answer] and type that into Excel. Do not submit the paper you may have used to solve the algebra, just copy it and put it all in Excel.
Very Important: Input the data only once. After that, link all calculations from new cells to previous cells, as illustrated in of the videos. Answers to questions that have the right number but are not linked will be marked incorrect. Projects that do not link cells will receive a very low grade.
Please complete the following in Excel, highlighting the answers.
Find the following: [The number in the brackets is how many points each question is worth.]
For #11 and #12: make three comparisons, EV(B) to EV(N), EV(B) to EV(S), EV(N) to EV(S). You will have three cutoff points and four test points.
In: Math
A professor has learned that eight students in her class of 31
will cheat on the exam. She decides to focus her attention on ten
randomly chosen students during the exam.
a. What is the probability that she finds at least
one of the students cheating? (Round your final answers to
4 decimal places.)
b. What is the probability that she finds at least
one of the students cheating if she focuses on eleven randomly
chosen students? (Round your final answers to 4 decimal
places.)
In: Math
In: Math
An investor owns a portfolio consisting of two mutual funds, A and B, with 50% invested in A. The following table lists the inputs for these funds.
Measures | Fund A | Fund B | |||
Expected value | 10 | 7 | |||
Variance | 68 | 43 | |||
Covariance | 25 | ||||
a. Calculate the expected value for the portfolio return. (Round your answer to 2 decimal places.)
Expected Value:
b. Calculate the standard deviation for the portfolio return. (Round intermediate calculations to at least 4 decimal places. Round your final answers to 2 decimal places.)
Standard Deviation:
In: Math
14.Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation
Bank A (single line) |
Bank B (individual lines) |
6.4 |
4.3 |
6.5 |
5.5 |
6.6 |
5.9 |
6.8 |
6.3 |
7.1 |
6.7 |
7.4 |
7.6 |
7.4 |
7.8 |
7.7 |
8.4 |
7.7 |
9.4 |
7.8 |
9.7 |
The coefficient of variation for the waiting times at Bank A is ____%.
(Round to one decimal place as needed.)
The coefficient of variation for the waiting times at the Bank B is ____.
(Round to one decimal place as needed.)
Is there a difference in variation between the two data sets?
A.There is no significant difference in the variations.
B.The waiting times at Bank B have considerably less variation than the waiting times at Bank A.
c.The waiting times at Bank A have considerably less variation than the waiting times at Bank B.
In: Math
In the book Business Research Methods, Donald R. Cooper and C. William Emory (1995) discuss a manager who wishes to compare the effectiveness of two methods for training new salespeople. The authors describe the situation as follows:
The company selects 22 sales trainees who are randomly divided into two equal experimental groups—one receives type A and the other type B training. The salespeople are then assigned and managed without regard to the training they have received. At the year’s end, the manager reviews the performances of salespeople in these groups and finds the following results:
A Group | B Group | |
Average Weekly Sales | x⎯⎯1x¯1 = $1,350 | x⎯⎯2x¯2 = $1,086 |
Standard Deviation | s1 = 233 | s2 = 263 |
(a) Set up the null and alternative hypotheses needed to attempt to establish that type A training results in higher mean weekly sales than does type B training.
H0: µA ?
µB ? versus Ha:
µA ?
µB >
(b) Because different sales trainees are assigned to the two experimental groups, it is reasonable to believe that the two samples are independent. Assuming that the normality assumption holds, and using the equal variances procedure, test the hypotheses you set up in part a at level of significance .10, .05, .01 and .001. How much evidence is there that type A training produces results that are superior to those of type B? (Round your answer to 3 decimal places.)
t = |
(Click to select)RejectDo not reject H0 with ? equal to .10. |
(Click to select)Do not rejectReject H0 with ? equal to .05 |
(Click to select)Do not rejectReject H0 with ? equal to .01 |
(Click to select)Do not rejectReject H0 with ? equal to .001 |
(Click to select)WeakVery strongNoStrongExtremely strong evidence that µA ? µ B > 0 |
(c) Use the equal variances procedure to calculate a 95 percent confidence interval for the difference between the mean weekly sales obtained when type A training is used and the mean weekly sales obtained when type B training is used. Interpret this interval. (Round your answer to 2 decimal places.)
Confidence interval [, ]
In: Math