5.) Name all of the functions of inventory from your textbook. How are these functions affected by lead time, specifically whether lead times are very long, or relatively short? How does an increase, or decrease in lead time affect inventory carrying cost?

6.) Identify a project that you are interested in other than the fundraiser or job search we worked on in class. Identify the major steps of this project, and which of these are on the critical path. Then show the last step of the project and estimate the total time for the project. Use figure 17.3 from your textbook and Table 17.2 to help develop your answer. NOTE: Estimating the total project time will require developing a general understanding of what needs to be done between the first steps and the last step.

7.) If you were an operations manager for an organization (service or manufacturing) with at least 1,000 employees what three strategies would you use to make the operation as successful as possible? What is your rationale for each of the three strategies? What is one thing that might go wrong with each of these three strategies? Approach this question by first identifying a specific business, or type of business. (Note that if you are managing 1000 employees there will be a number of levels between you and the lower level employees. This is an operations question – so the response is related to operational challenges – not sales, marketing, finance, or accounting). Do not use Apple, Cargill, or Walmart.

8.) You are the owner of a small manufacturing company with 300 employees. What would be your top 5 operational strategies for making your company successful. (Do not use marketing, sales, accounting, or finance strategies). Give two specific reasons for choosing each of these five strategies (10 total reasons/justifications). Finally, give three reasons why you believe – not feel – these strategies would lead to success.

• Implement the codes must use the LinkedList implementation

• Add an additional empty node (“dummy node”) that connects the end of the list with the beginning, transforming the list to a circular list

Code in c++

The Josephus problem is named after the historian Flavius Josephus, who lived between the years 37 and 100 CE. Josephus was a reluctant leader of the Jewish revolt against the Roman Empire. When it appeared that Josephus and his band were to be captured, they resolved to kill themselves. Josephus persuaded the group by saying, “Let us commit our mutual deaths to determination by lot. He to whom the first lot falls, let him be killed by him that hath the second lot, and thus fortune shall make its progress through us all; nor shall any of us erish by his own right hand, for it would be unfair if, when the rest are gone, somebody should repent and save himself” (Flavius Josephus, The Wars of the Jews, Book III, Chapter 8, Verse 7, tr. William Whiston, 1737). Yet that is exactly what happened; Josephus was left for last, and he and the person he was to kill surrendered to the Romans. Although Josephus does not describe how the lots were assigned, the following approach is generally believed to be the way it was done. People form a circle and count around the circle some predetermined number. When this number is reached, that person receives a lot and leaves the circle. The count starts over with the next person. Using the circular linked list developed in Exercise 6, simulate this problem.

Your program should take two parameters: n, the number of people that start, and

m, the number of counts. For example, try n = 20 and m = 12. Where does Josephus need to be in the original list so that he is the last one chosen?

Question
Dr. Gamble had been teaching PSYC 2021 for years, and always wore a suit to class. His average teaching evaluation across all courses and years was 4.2/5. As Dr. Gamble was preparing for an upcoming PSYC 2021 course (N = 132), he wondered whether his course evaluations would be lower than the average across all of his previous classes if he wore jeans and a t-shirt to every class in the upcoming term. Use null hypothesis testing (all steps) to determine if wearing jeans and a t-shirt will lower Dr. Gamble’s teaching evaluations, relative to the mean of all previous sections of the course. Note that only 59 of the 132 students completed a teaching evaluation. Be sure to appropriately interpret the confidence interval and effect size (even if it is subjective) and include a general summary of the results. Use α = .10. Show excel formula used.

Data Set:

Original Claim: The average age of all patients admitted to the hospital with infectious diseases is less than 65 years of age.

Test the claim using ? = 0.05 and assume your data is normally distributed and ? is unknown.

Q.) What is the value of the test-statistic? What is the p-value? What is the critical value?

Marge N. O’Hara, a senior analyst for a large stock brokerage has been tasked to forecast the weekly closing stock prices for this blue-chip stock for the first four weeks of next year. You are assigned to provide technical support to Ms. O’Hara. Weekly closing stock prices for all 52 weeks of this year for this blue-chip stock are reported in units of dollars ($). use mititab or excel 11. Prior to attempting ARIMA modeling, Ms. O’Hara wants to verify that differencing will make the weekly closing stock price data stationary. a. Present a time series plot of the first differences of the weekly closing prices. b. Does this plot appear to show horizontality? Explain why? c. Does this plot appear to show constant variance? (That is, overall, are the first differences of the weekly closing prices confined within a band?) Explain why? d. Can it be concluded that the first differences of the weekly closing prices stationary or nonstationary? Explain why? week, t stock price, y 1 267 2 267 3 268 4 264 5 263 6 260 7 256 8 256 9 252 10 245 11 243 12 240 13 238 14 241 15 244 16 254 17 262 18 261 19 265 20 261 21 261 22 257 23 268 24 270 25 266 26 259 27 258 28 259 29 268 30 276 31 285 32 288 33 295 34 297 35 292 36 299 37 294 38 284 39 277 40 279 41 287 42 276 43 273 44 270 45 264 46 261 47 268 48 270 49 276 50 274 51 284 52 304

Solve in excel please. Show formulas

A manufacturer of raisin bran cereal claims that each box of cereal has more than 200 grams of

raisins. The firm selects a random sample of 64 boxes and records the amount of raisin (in grams) in

each box.

a. Identify the null and the alternate hypotheses for this study.

b. Is there statistical support for the manufacturer’s claim at a significance level of 5%? What

about at 1%? Test your hypothesis using both, the critical value approach and the p-value

approach. Clearly state your conclusions.

c. Under what situation would a Type-I error occur? What would be the consequences of a

Type-I error?

d. Under what situation would a Type-II error occur? What would be the consequences of a

Type-II error?

Box Amount

1 140

2 310

3 .276

4 174

5 136

6 272

7 376

8 324

9 252

10 84

11 176

12 250

13 177

14 89

15 254

16 185

17 186

18 94

19 94

20 221

21 211

22 308

23 169

24 217

25 363

26 123

27 259

28 110

29 102

30 134

31 295

32 171

33 94

34 331

35 218

36 158

37 213

38 244

39 166

40 216

41 156

42 360

43 198

44 217

45 246

46 256

47 258

48 374

49 338

50 276

51 212

52 216

53 168

54 376

55 245

56 252

57 373

58 270

59 245

60 108

61 190

62 208

63 231

64 206

Break-Even EBIT and Leverage Coldstream Corp. is comparing two different capital structures. Plan I would result in 3,700 shares of stock and $13,700 in debt. Plan II would result in 3,100 shares of stock and $30,140 in debt. The interest rate on the debt is 7 percent.

a. Ignoring taxes, compare both of these plans to an all-equity plan assuming that EBIT will be $7,600. The all-equity plan would result in 4,200 shares of stock outstanding. Which of the three plans hast the highest EPS? The lowest?

b. In part (a), what are the break-even levels of EBIT for each plan as compared to that for an all-equity plan? Is one higher than the other? Why?

c. Ignoring taxes, when will EPS be identical for Plans I and II?

d. Repeat parts (a), (b), and (c) assuming that the corporate tax rate is 40 percent. Are the break-even
levels of EBIT different from before? Why or why not?

Do bonds reduce the overall risk of an investment portfolio? Let x be a random variable representing annual percent return for Vanguard Total Stock Index (all stocks). Let y be a random variable representing annual return for Vanguard Balanced Index (60% stock and 40% bond). For the past several years, we have the following data.

Compute a 75% Chebyshev interval around the mean for x values and also for y values. (Round your answers to two decimal places.)

This is the data analysis using technology part of the Midterm. Use Minitab or a graphing calculator to accomplish this assignment. You can copy and paste the data into a Minitab worksheet to run the analysis. If you use a graphing calculator, take a screen shot or a picture of the calculator output.

The table below is a sample data set from 50 people. Carefully read and answer the following questions:

1. (2pts) Make a Normal Probability Plot (Graph-Probability Plot-Single) for Income. Does the distribution of income appear to be Normal?
2. (1pt) Report the separate five number summary of income for each gender (STAT-Basic stat-Descriptive Stat-By (gender).
3. (1pt) Make two parallel boxplots for each gender (Graph-boxplot, choose One Y-with groups, use Income as graphing variable and Gender as grouping variable).
4. (3pts) From the boxplots in #3, compare the shapes, measure of center (name one), and measure of variation (name one) of the distributions of income of males and of females. Are there any outliers?
5. (3pts) Name and make an appropriate graph to determine whether Income and Age have a relationship. What can you say about their relationship from this graph?

chi-squared test ( χ2 test) problem
We're interested in the weight of babies born not prematurely but after a pregnancy shorter than average. Of a sample of 300 children born in April, the found as follows:

. born after 37 weeks: 30 slightly underweight; 20 normal weight.

. born after 38 weeks: 40 slightly underweight; 60 normal weight.

. born after 39 weeks: 50 born slightly underweight; 100 normal weight.

(a) Identify the two variables studied in the sample and the values of the two variables they can take, then build a full frequency table.

b) Calculate the value χ2 from the table obtained in a). Explain why we can be almost certain that there is an interdependence between the number of weeks of pregnancy and birth weight.

(c) As it has been found that there is an interdependence between the two, an attempt will be made to establish a numerical relationship between the number of weeks of pregnancy and the proportion of children born underweight. What will our variables be here and what does our study tell us?

d) Calculate the equation for the regression line obtained from the points found in c).