Questions
Drew Rosen Corp owns factories in three towns, which distribute to three retail locations. The following...

Drew Rosen Corp owns factories in three towns, which distribute to three retail locations. The following table summarizes factory availabilities, projected store demands, and unit shipping costs. What is the resultant lowest dollar cost.

Decatur Minneapolis Carbondale Dummy Supply
Blue Earth 20 17 21 250
Ciro 25 27 20 200
Des Moines 22 25 22 350
Demand 300 200 150 150 800 \ 800
Shipments
Decatur Minneapolis Carbondale Dummy Row Total
Blue Earth
Ciro
Des Moines
Totals 0 \ 0

a. 17500

b. 14687

c. 15262

d. 12900

In: Statistics and Probability

Suppose we wanted to compare the somatic complaints (as measured on a scale known as the...

  1. Suppose we wanted to compare the somatic complaints (as measured on a scale known as the Physical Symptom Survey or PSS) of three groups of people: nonsmokers, smokers, and people who recently quit smoking. Using the following data for PSS scores, do a one-way ANOVA to test the hypothesis that the population means are equal:

Nonsmokers

Smokers

Quitters

19

26

37

23

29

32

17

22

27

20

30

41

26

23

38

What are the means for the three groups? Compute the sums of squares, degrees of freedom, and mean squares for these data. What is value of F? Using an alpha of .05, is the F statistically significant? Describe the results of the analyze.

In: Statistics and Probability

10 points    QUESTION 9 True or false: The top position on a search engine results...

10 points   

QUESTION 9

  1. True or false: The top position on a search engine results website that attracts the most attention is also the most profitable position for a search advertisement.

True

False

10 points   

QUESTION 10

  1. Which of the following choices is a way that big data and data science can help today’s marketer?

The use of big data helps in marketing decision making because it keeps marketing information more “pure” by eliminating other business units from the marketing decision-making process.

Big data can help firms react to market conditions more quickly, leading to optimized pricing practices.

Data science has helped simplify promotional decisions because it has shown that simple promotions reaching large audiences work the best.

Real-time inventory management often helps marketers plan promotional campaigns that are more effective.

Big data has been useful in determining what other companies a firm should merge with to be a more effective marketer.

10 points   

QUESTION 11

  1. After a few years of work in the marketing department of a small firm, you are placed in charge of the firm’s inbound marketing. What are you most likely to be in charge of?

The firm’s efforts in creating and placing television and print advertising

Creating content for and monitoring consumer actions on the firm’s social media platforms, such as Facebook and Twitter

Efforts of the firm to capture consumers no matter where they are

Ensuring that consumers can find the firm when they search for information on products and services

Creating display advertising, finding websites on which to place such advertising, and ensuring that inquiries made from such advertising are responded to properly.

10 points   

QUESTION 12

  1. Which of the following factors correctly explain(s) the importance of social media for marketers?

Customers acquired through word-of-mouth avenues are worth twice as much as are those attracted through other channels.

According to Intuit co-founder Scott Cook, “A brand is no longer what we tell the consumer it is—it is what consumers tell each other it is.”

Social interactions contribute to the retention of existing customers.

All of these factors correctly explain the importance of social media for marketers.

McKinsey and Company estimates that between 20% and 50% of all purchases are driven primarily by word-of-mouth recommendations.

In: Operations Management

Aircraft companies had very difficult times during the pandemic period. AHL, and OA have created some...

Aircraft companies had very difficult times during the pandemic period. AHL, and OA have created some advantages for their loyal customers, especially for the Istanbul-Ankara flight. AHLprovides 900 points (flight miles) for each flight to its customers flying from Istanbul to Ankara. However, it gives 1000 (flight miles) extra points to more than 3 flights and 1350 (flight miles) to more than 6 flights within three months. While OA gives 1200 points (flight miles) for each flight, it gives 1500 (flight miles) extra points for every 5 flights within three months. While the ticket price of AHL company in Istanbul-ankara is 800 TL, the ticket price of OA is 600 TL.

For a person who wants to make an Istanbul-ankara flight 60 times in the next twelfe months, please create an integer programming model to maximize flight miles.

In: Physics

Warehousing Corp. owns a large warehouse that can be subdivided into numerous subsections by inserting removable...

Warehousing Corp. owns a large warehouse that can be subdivided into numerous subsections by inserting removable wall. It leases out different portions of storage space to its customers based on their needs.

Manufacturing Corp. contracts with Warehousing Corp. to reserve 1,000 square feet of space to store excess inventory for a three-year period. The contract specifies that Manufacturing Corp.’s inventory will be stored in an identified location in the warehouse. However, Warehousing Corp. has the right to shift Manufacturing Corp.’s inventory to another location within its warehouse at its discretion, subject to the requirement to provide 1,000 square feet for the three-year period.

Warehousing Corp. frequently reorganizes its space to meet the needs of new contracts. The cost of relocating is low compared to the benefits of being able to accommodate as many customers as possible in the warehouse.

Does the contract explicitly or implicitly identify an asset to be used to fulfill the contract?

In: Finance

Freight claims processing can be a significant activity for organizations making frequent shipments, and effective handling...

Freight claims processing can be a significant activity for organizations making frequent shipments, and effective handling of freight claims can be an important part of customer satisfaction from both the carriers’ and shippers’ viewpoints. There are three customers for the claims process that must also deal with the result of freight loss, damage, or delay.   

  • A carrier, as a seller of transportation services, is concerned about the “shipper’s” (the carrier’s customers for their transportation services) perception of quality and timeliness.
  • The shipper is concerned about the impact on the consignee, the customer for the goods.
  • The shipper is also concerned about being a preferred shipper in the eyes of carriers.

Please respond to the following questions with your initial post to the discussion board.

  1. Describe how a delay could cause “economic injury.”
  2. Although freight loss, damage, or delay is a problem for all three parties, how can the handling of the claims process itself effect the satisfaction and perceptions of the shipper, the carrier, and the consignee?

You may wish to provide actual or hypothetical examples.

In: Operations Management

Gobblers, a small midwestern clothier, is considering fabricating a new line of men's pants. It needs...

Gobblers, a small midwestern clothier, is considering fabricating a new line of men's pants. It needs some help understanding its current male customer base in order to better assess what sizes of pants to offer. The firm presently has demographic data on all 5,000 of its male customers. It has found that the average weight of all its male customers is 195 lbs with a standard deviation of 20 pounds. In addition, the average weight has been found to be normally distributed. Listed below you will find weight information on just 20 randomly sampled customers. Customer Weight 1 200 lbs 2 225 3 180 4 197 5 186 6 239 7 167 8 143 9 242 10 194 11 201 12 185 13 184 14 178 15 181 16 210 17 203 18 194 19 212 20 207
5.) Based upon the population data, what percentage of customers would be expected to weigh above 230 pounds? 6.)Basd upon the population data what is the weight value that you would expect 25 percent of the customers to exceed? 7.) Based upon the population data what is the weight level that you would expect 90% of the customers to exceed? 8.)based upon the population data what percentage of customers would be expected to weigh between 170 and 230 lbs?

In: Statistics and Probability

Cutting Edge Pharmaceuticals Pty Ltd (a monopoly firm) has the following demand (average revenue) function: AR...

Cutting Edge Pharmaceuticals Pty Ltd (a monopoly firm) has the following demand (average revenue) function:

AR = 100 – Q
The marginal cost of production is given as constant and equal to $10.

a) What is the equation for the MR function? In showing this equation for the MR function explain the relationship between average revenue and marginal revenue. Determine the profit-maximizing level of output of the firm

b) What is the equilibrium monopoly price set by the firm and what will be the monopoly profit earned?

c) Illustrate the market demand and marginal cost, the average cost of this firm as well as, profit-maximizing price quantity and profit level on a diagram

In: Economics

An emergency service wishes to see whether a relationship exists between the outside temperature and the...

An emergency service wishes to see whether a relationship exists between the outside temperature and the number of emergency calls it receives for a 7-hour period. The data are shown.

Temperature x :68 74 82 88 93 99 101

No. of calls y : 7 4 8 10 11 9 13

a) Draw the scatter plot for the variables.

b) Compute and explain the correlation coefficient in terms of the question provided.

c) Test the significance of the correlation coefficient at ? =0.05. Show all steps of

the hypothesis test.

d) What percent of the variability is accounted for by the relationship between the two

variables?

e) What would be the slope and y-intercept for a regression line based on this data?

Write the regression line also.

f) Draw the regression line on the scatterplot from part a.

g) What is the coefficient of non-determination?

h) Find y’ when x =80 F.

i) Run the regression analysis in R using the lm function and report the R output.

In: Statistics and Probability

"Correlation/Regression QA" A professor wants to determine the relationship between Middleterm Scores (X) and Final Scores...

"Correlation/Regression QA"

A professor wants to determine the relationship between Middleterm Scores (X) and Final Scores (Y). The professor correlates the MiddleTerm Scores (X) with the Final Scores (Y) for all of his students. The data are presented below.
MiddleTerm Scores:
92, 91, 90, 89, 88, 87, 86, 85, 83, 81, 80, 80
Final Scores:
88, 87, 84, 84, 76, 75, 73, 72, 73, 74, 68, 82

16)What is the relationship between MiddleTerm Scores and Final Scores (Round to two decimal places)

19)What is the value of the observed test statistic (t) used to determine whether this relationship is significantly different from zero (Round to two decimal places)?  

20) Assuming that you want to minimize the probability of a Type I Error of the test and are interested in whether the relationship is positive or negative, what is the critical value used to compare the observed test statistic (t) in order to determine whether this relationship is significantly different from zero?

In: Statistics and Probability