Do female college students spend more time than male college students watching TV? This was one of the questions investigated by the authors of an article. Each student in a random sample of 46 male students at a university in England and each student in a random sample of 38 female students from the same university kept a diary of how he or she spent time over a three-week period. For the sample of males, the mean time spent watching TV per day was 68.7 minutes and the standard deviation was 67.5 minutes. For the sample of females, the mean time spent watching TV per day was 93.9 minutes and the standard deviation was 89.1 minutes. Is there convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students? Test the appropriate hypotheses using α = 0.05. (Use a statistical computer package to calculate the P-value. Use μmales − μfemales. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)

t = 1.4739 Incorrect: Your answer is incorrect.

df = 82 Incorrect: Your answer is incorrect.

P-value = 0.288 Incorrect: Your answer is incorrect.

State your conclusion. Fail to reject H0. We do not have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students. Fail to reject H0. We have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students. Reject H0. We do not have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students. Reject H0. We have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students.

Please show your work so I can follow along!!!!! Thank you.

Upon successful completion of the MBA program, imagine you work in the analytics department for a consulting company. Your assignment is to analyze the following databases: Hospital

Provide a detailed, four part, statistical report with the following sections:

Part 1 - Preliminary Analysis

Part 2 - Examination of Descriptive Statistics

Part 3 - Examination of Inferential Statistics

Part 4 - Conclusion/Recommendations

Part 1 - Preliminary Analysis Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.

State the objective: What are the questions you are trying to address? Describe the population in the study clearly and in sufficient detail: What is the sample? Discuss the types of data and variables: Are the data quantitative or qualitative? What are levels of measurement for the data?

Part 2 - Descriptive Statistics Examine the given data. Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary). Identify any outliers in the data. Present any graphs or charts you think are appropriate for the data. Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.

Part 3 - Inferential Statistics Use the Part 3: Inferential Statistics document. Create (formulate) hypotheses Run formal hypothesis tests Make decisions. Your decisions should be stated in non-technical terms. Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient.

Part 4 - Conclusion and Recommendations Include the following: What are your conclusions? What do you infer from the statistical analysis? State the interpretations in non-technical terms. What information might lead to a different conclusion? Are there any variables missing? What additional information would be valuable to help draw a more certain conclusion?

Questions

Q1. Briefly discuss the factors of production and their roles in economic systems.   

Q2. Based on your knowledge of the staffing and Leading process, discuss in 500 words some amendments could be applied to improve the performance within Coast Coffee.

Costa Coffee

Costa Coffee was founded in London in 1971 by two Brothers Bruno and Sergio Costa as a wholesale operation supplying roasted coffee to caterers and specialist Italian coffee shops. Acquired by Whitbread in 1995, it was sold in 2019 to The Coca-Cola Company in a deal worth £3.9bn and has grown to 3,401 stores across 31 countries and 18,412 employees. The business has 2,121 UK restaurants, over 6,000 Costa Express vending facilities and a further 1,280 outlets overseas (460 in China). The Coca-Cola Company announced its intention of acquiring Costa Limited from parent company Whitbread PLC for $5.1 billion. The deal, which closed on 3 January 2019, gives the cola giant a strong coffee platform across parts of Europe, Asia Pacific, the Middle East, and Africa. It is the second largest coffeehouse chain in the world, and the largest in the UK.

Costa Coffee operates 2,467 outlets in the United Kingdom as of October 2019. Overseas, it operates 1,413 stores in 32 countries. The first Costa store outside the UK opened in the UAE in 1999 and, in September 2017, was the first coffee shop worldwide to start delivering coffee via drones to customers sunbathing on Dubai's beaches. Following Whitbread's £59.5m acquisition of Coffee Nation, a chain of coffee machines, the machines were re-branded as Costa Express. The company plans to expand to target hospitals, universities and transport interchanges. In Denmark, Costa Express machines are located in Shell stations. In the UK, grocery store chain SPAR has become a major operator of petrol station stores, most of which have Costa Express machines installed

On 19 August 2019 Costa Coffee attracted media attention due to claims of unfair deductions from the pay of its employees. Reports stated that current and former employees had £200 deducted from their pay for training as well as additional deductions for till discrepancies and running costs. Claims of unfair deductions were triggered by a Twitter post suggesting that staff at a Costa store were forced to reimburse money lost to scammers who came into the store. Trying to distance themselves from the controversy, Costa said contracts for franchise stores are managed by partners and that some staff contracts did have "clauses relating to deductions".

On 23 August additional claims appeared in the media that Costa Coffee franchise workers are "not treated like humans". The report included managers' alleged refusal to pay for sickness or annual leave, working outside of contracted hours and the retention of tips. It cited an anonymous former employee at a store under Goldex Essex Investments Ltd who claimed they had almost £1,000 of their holiday pay deducted from their salary, despite being contracted to work 48 hours a week. The report went on to say that baristas and employees at managerial level have complained about the numerous deductions outlined in Costa Coffee contracts written by franchise partners. A former manager is quoted as saying she had £150 deducted from her wages because she was five minutes late opening the store. Other fines outlined in the contracts were for used uniform that was damaged when returned to the employer, excessive waste and till discrepancies. In response to this article a Costa Coffee spokesperson said an independent audit has been launched.

Business Applications  Operating leverage: Description of business for Caterpillar, Inc.

With 2014 sales and revenues of $55.184 billion, Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The company principally operates through its three product segments—Resource Industries, Construction Industries, and Energy & Transportation (formerly Power Systems)—and also provides financing and related services through its Financial Products segment. Caterpillar is also a leading U.S. exporter.

Description of business for the Kroger Company from its Form 10-K:

The Kroger Co. was founded in 1883 and incorporated in 1902. As of January 31, 2015, we are one of the largest retailers in the nation based on annual sales. . . .

As of January 31, 2015, Kroger operated, either directly or through its subsidiaries, 2,625 supermarkets and multi-department stores, 1,330 of which had fuel centers. Approximately 48% of these supermarkets were operated in Company-owned facilities, including some Company-owned buildings on leased land. Our current strategy emphasizes self-development and ownership of store real estate. Our stores operate under several banners that have strong local ties and brand recognition. Supermarkets are generally operated under one of the following formats: combination food and drug stores (“combo stores”); multi-department stores; marketplace stores; or price impact warehouses.

Required

1. Determine which company appears to have the higher operating leverage.
2. Write a paragraph or two explaining why the company you identified in Requirement a might be expected to have the higher operating leverage.
3. If revenues for both companies increased by 5 percent, which company do you think would likely experience the greater percentage increase in operating earnings? Explain your answer

The PACE project at the University of Wisconsin in Madison deals with problems associated with high-risk drinking on college campuses. Based on random samples, the study states that the percentage of UW students who reported bingeing at least three times within the past two weeks was 42.2% in 1999 (n = 334) and 21.2% in 2009 (n = 843). Test that the proportion of students reporting bingeing in 1999 is different from the proportion of students reporting bingeing in 2009 at the 10% significance level.

-A two-sided test with zcrit = -1.645 and 1.645.

-n 1 = n 1999 = 334

-n 2 = n 2009 = 843

-p ^ 1 = p ^ b i n g e 1999 = 0.422

-p ^ 2 = p ^ b i n g e 2009 = 0.212

A) Calculate the appropriate test statistic. What is the standard error?

B) What is the test statistic value?

C) Calculate the corresponding p-value from the appropriate table.

D) Construct a 90% confidence interval around the difference-in-proportions estimate. Lower bound and upper bound values?

1. When identical parts are being manufactured. They vary from one another. If the variation is normally distributed if:

a) is natural and is to be expected

b) indicates the parts do not meet quality standards

c) indicates an unstable process is developing

2. Probability tells us:

a) how often something actually occurs

b) how often something is expected to occur

c) the number of random samples it takes for an event to occur

3. Unnatural variation is normally the result of:

a) expected variation in the process

b) assignable causes

c) product design choices

4. A histogram is a graph of:

a) the past history of the process

b) machine capability

c) how often events or measurements occur

5. The normal distribution curve:

a) is a picture of how products are distributed from a stable set of conditions

b) provides accurate information about specification limits

c) allows us to identify causes of variation

6. The mean of a sample taken from a population:

a) is written as x

b) is the result of measuring all the individuals

c) determines process capability

7. Range is:

a) the number of times an event occurs

b) the difference between highest and lowest values

c) shown on an x chart

8. The variability of a group is described by:

a) standard deviation

b) population totals

c) the value between the first and last piece produced

9. A “quality” product is one that:

a) is within the specification limits

b) meets the needs and expectations of the customer

c. uses geometric dimensioning and tolerancing

10. Statistical Process Control:

a) tracks the variability of products or services

b) will solve he majority of quality related problems

c) is most useful during 100% inspection

11. The normal distribution of average is:

a) larger than the distribution of individuals

b) narrower than the distribution of individuals

c) the same as the distribution of individuals

12) A product’s key quality characteristics are monitored:

a) during final inspection

b) within +- 0.001

c) using control chart

13. Control limits on an x are:

a) the statistical words for blueprint tolerances

b) based upon the distribution of sample averages

c) used to determine process capability

14) Process capability studies:

a. given information about how a process is behaving

b) are most effective in determining whether or not SPC works

c) require that a single machine be capable of producing at least 2 different parts

15) Values plotted as points on an x chart are:

a) individual values

b) specification limits

c) sample values

16. The pattern of points on an x chart should show a normal distribution that:

a) closely parallels individual measurement

b) shows percent defective

c) is within +- 3 sigma

Maben Company was started on January 1, 2018, and experienced the following events during its first year of operation:

Acquired $35,000 cash from the issue of common stock.

Borrowed $47,000 cash from National Bank.

Earned cash revenues of $63,000 for performing services.

Paid cash expenses of $52,500.

Paid a $2,500 cash dividend to the stockholders.

Acquired an additional $35,000 cash from the issue of common stock.

Paid $12,000 cash to reduce the principal balance of the bank note.

Paid $46,000 cash to purchase land.

Determined that the market value of the land is $64,000.

Determine the percentage of assets that were provided by investors, creditors, and earnings. (Round your answers to 2 decimal places.) Just need investors and Earnings please

A competing commercial effort to sequence the human genome was initiated by the company Celera in 1997. How was their approach different from the Human Genome Project?

• A. Libraries of individual chromosomes were generated and overlapping clones were isolated before sequencing.
• B. They used sequence tagged sites (STS) and expression sequence tags (EST) to order contigs prior to sequencing.
• C. They sequenced the entire genome from one female donor.
• D. They generated overlapping clones from YAC and BAC libraries that were identified by hybridization and organized into long contiguous stretches called contigs.
• E. They used a whole-genome shotgun sequencing method that eliminates the step of assembling a physical map of the genome.

Describe culture.How would your university go about creating a unique culture to capture student attendance for your university?

A study of identity theft looked at how well consumers protect themselves from this increasingly prevalent crime. The behaviors of 64 college students were compared with the behaviors of 56 nonstudents. One of the questions was "When asked to create a password, I have used either my mother's maiden name, or my pet's name, or my birth date, or the last four digits of my social security number, or a series of consecutive numbers." For the students, 25 agreed with this statement while 27 of the nonstudents agreed.(a) Display the data in a two-way table.

Perform the chi-square test. (Round your χ² to three decimal places and round your P-value to four decimal places.)

Summarize the results.

A. We cannot conclude at the 5% level that students and nonstudents differ in the response to this question.

B. We can conclude at the 5% level that students and nonstudents differ in the response to this question.    

(b) Reanalyze the data using the methods for comparing two proportions that we studied in the previous chapter. Compare the results and verify that the chi-square statistic is the square of the z statistic. (Test students who agreed minus nonstudents who agreed. Round your z to two decimal places and round your P-value to four decimal places.)

(c) The students in this study were junior and senior college students from two sections of a course in Internet marketing at a large northeastern university. The nonstudents were a group of individuals who were recruited to attend commercial focus groups on the West Coast conducted by a lifestyle marketing organization. Discuss how the method of selecting the subjects in this study relates to the conclusions that can be drawn from it.