Evaluate the use of VPN and propose an alternate solution for a company to expand their existing VPN network to another country e.g. New Zealand. In proposing an alternate VPN network design, consider the following factors: 150 new users added 5 users in New Zealand 20% growth of users in 4 years for the entire network
In: Computer Science
You’ve just hired a new sales rep for your Car Dealership, Graham’s AutoMart. Your job is to train the new person on how to sell cars. Describe each of the steps in personal selling process and how these steps would apply to selling cars so that your new employee will understand how to do their job.
In: Operations Management
Nike
Nike hit the ground running in 1962. Originally known as Blue Ribbon Sports, the company focused on providing high quality running shoes designed for athletes by athletes. Founder Philip Knight believed high-tech shoes could be sourced from overseas at competitive prices. Nike’s commitment to designing innovative footwear for serious athletes, helped it build a cult following among US consumers. Nike believed in a ‘pyramid of influence’ in which the preferences and testimonial of top athletes influenced the product and brand choices of others. From the start its marketing and advertising campaigns featured accomplished athletes: in 1985 basketballer Michael Jordan was signed up, albeit then as a rookie.
In 1988 the ‘Just Do It’ campaign was launched. The campaign subtly challenged a generation of athletic enthusiasts to chase their goals. It was a natural manifestation of Nike’s attitude to self-empowerment through sports.
Nike began expanding overseas. In Europe it found that its US-style ads were seen as too aggressive. To authenticate its brand in Europe it focused on soccer and became active as a sponsor of youth leagues, local clubs and national teams. Further pursuing its strategy of professional endorsements, Nike decided to sponsor the Brazilian soccer team, which turned in to a big break when they won the World Cup in 1994. In 2007, Nike acquired Umbro a British maker of soccer-related footwear, apparel and equipment. This acquisition helped to boost Nike’s presence in soccer.
Continuing overseas expansion, China became a focus during the 2008 Olympics in Beijing. Although Adidas was the official sponsor, Nike received special permission from the International Olympic Committee to run Nike ads featuring Olympic athletes during the games and sponsored most of the Chinese teams. Some believed Nike’s marketing strategy during the Olympics was more effective than Adidas’s Olympic sponsorship.
Through the 1990s Nike moved into baseball, football, cycling, volleyball, hiking, soccer and then golf. During this time it developed a repeatable growth strategy[1]. Athletic shoes continued to be the core starting point but Nike then quickly moved into adjacent segments: into apparel and then equipment.
Internally Nike marketers adopted the three-word brand mantra: authentic athletic performance, to guide their marketing efforts. Its entire marketing program must reflect these brand values. Nike has expanded its brand meaning form ‘running shoes’ to ‘athletic shoes’ to ‘athletic shoes and apparel’ to ‘all things associated with athletics including equipment’. However it is always guided by the brand mantra. For example, as Nike rolled out its successful apparel line, the product had to be innovative enough through material, cut and/or design, to truly benefit top athletes.
Expanding into new categories and then new segments required the company to forge new distribution channels and lock in suppliers. Nike has pursued a selective distribution strategy. It pulled its product from the retail chain Sears when they acquired discount chain Kmart, to make sure Kmart did not carry the brand.
Expanding into new product categories meant new endorsements including Tiger Woods for golf. In tennis, John McEnroe was its first brand star in 1986. More recently Nike has aligned with Maria Sharapova, Roger Federer and Rafael Nadal. Some called the 2008 Wimbledon final between Federer and Nadal – both dressed in swooshes from head to toe – a 5-hour commercial valued at $10.6 million.
Nike has an unfortunate history of associating with some athletes who attract adverse publicity. In the 6 months following Tiger Woods highly publicised personal scandal, Nike lost over 100,000 customers[2] and although several sponsors cut ties with Woods, Nike did not. Nike did however terminate is contract with disgraced cyclist Lance Armstrong once the doping evidence became ‘seemingly insurmountable’. Oscar Pistorius is the latest example of a Nike endorsement that could turn sour.
Nike has also attracted adverse publicity regarding its offshore facilities; centring on working conditions and low wages, with media accusations of exploitation. Whilst Nike has assumed a policy of reformation for its abuses, the issue became, and continues to be, a recurring public relations nightmare for Nike.
NikeiD (rebranded as Nike by You) is a service provided by Nike allowing customers to customise and design their own Nike merchandise. This was launched in 1999 through the Nike website. Delivery is offered too many countries but not currently to Australia and New Zealand; here on-line local companies may act as local distributors for customised Nike products.
Basketball superstars have continued to feature in Nike’s promotions. In addition it formed a partnership with Foot Locker to create a new chain of stores in the US, House of Hoops by Footlocker, which offers only basketball products by Nike sub-brands such as Converse and Jordan.
Recently, Nike’s lead in the running category has grown to 60% market share, thanks in part to its exclusive partnership with Apple. Nike+ technology includes a sensor that runners put into their running shoes and a receiver, which fits into an iPod, iTouch, or iPhone. Then the athlete goes for a run or hits the gym, the receiver captures his or her mileage, calories burned, and pace, and stores it until the information is downloaded. Nike+ is now considered the world’s largest running club.
In 2008 and 2009, Nike+ hosted the Human Race 10K, the largest and only global virtual race in the world. The event, designed to celebrate running, drew 780,000 participants in 2008 and surpassed that number in 2009. To participate, runners register online, gear up with Nike+ technology, and hit the road on race day, running any 10K route they choose at any time during the day. Once the data is downloaded from the Nike+ receiver, each runner’s official time is posted and can be compared to the times of runners from around the world.
Like many companies, Nike is trying to make its companies and products more eco-friendly. However Nike does not focus on promoting this. As one brand consultant explained: ‘Nike has always been about winning. How is sustainability relevant to its brand?’ Nike executives agree that promoting an eco-friendly message would distract from its high-tech image, so efforts like recycling old shoes into new shoes are kept quiet.
As of 2020 Nike continues to dominate the athletic footwear market with a 50% world market share. Swooshes abound on everything from wristwatches to skateboards to swimming caps. The company’s long term strategy focuses on basketball, running, soccer/football, women’s fitness, men’s training and sports culture. As a result of its successful expansion across geographical markets and product categories, Nike is the top athletic apparel and footwear manufacturer in the world, with annual corporate revenues exceeding $39 billion.
These questions are compulsory and relate to the Nike case (on pages 3 and 4 of exam). Read the case and answer the following questions.
In: Economics
Changes in Education Attainment: USE SOFTWARE - According to the U.S. Census Bureau, the distribution of Highest Education Attainment in U.S. adults aged 25 - 34 in the year 2005 is given in the table below.
Census: Highest Education Attainment - 2005
| No | High School | Associate's | Bachelor's | Graduate or | |
| Diploma | Diploma | Degree | Degree | Professional Degree | |
| Percent | 14% | 48% | 8% | 22% | 8% |
In a survey of 4000 adults aged 25 - 34 in the year 2013, the
counts for these levels of educational attainment are given in the
table below.
Survey (n = 4000): Highest Education Attainment - 2013
| No | High School | Associate's | Bachelor's | Graduate or | |
| Diploma | Diploma | Degree | Degree | Professional Degree | |
| Count | 535 | 1927 | 336 | 886 | 316 |
The Test: Test whether or not the distribution of
education attainment has changed from 2005 to 2013. Conduct this
test at the 0.05 significance level.
(a) What is the null hypothesis for this test?
H0: p1 = p2 = p3 = p4 = p5 = 1/5
H0: The distribution in 2013 is different from that in 2005.
H0: p1 = 0.14, p2 = 0.48, p3 = 0.08, p4 = 0.22, and p5 = 0.08.
H0: The probabilities are not all equal to 1/5.
(b) The table below is used to calculate the test statistic.
Complete the missing cells.
Round your answers to the same number of decimal places as
other entries for that column.
| Highest | Observed | Assumed | Expected | ||||
| i | Education | Frequency (Oi) | Probability (pi) | Frequency Ei |
|
||
| 1 | No Diploma | 535 | 0.14 | 560 | |||
| 2 | Diploma | 1927 | 0.48 | 0.026 | |||
| 3 | Associate's | 336 | 320 | 0.800 | |||
| 4 | Bachelor's | 0.22 | 880 | 0.041 | |||
| 5 | Grad or Prof | 316 | 0.08 | 320 | 0.050 | ||
| Σ | n = 4000 | χ2 = | |||||
(c) What is the value for the degrees of freedom?
(d) What is the critical value of χ2?
Use the answer found in the
χ2-table or round to 3 decimal
places.
tα =
(e) What is the conclusion regarding the null hypothesis?
reject H0
fail to reject H0
(f) Choose the appropriate concluding statement.
We have proven that the distribution of 2013 education attainment levels is the same as the distribution in 2005.
The data suggests that the distribution of 2013 education attainment levels is different from the distribution in 2005.
There is not enough data to suggest that the distribution of 2013 education attainment levels is different from the distribution in 2005.
In: Statistics and Probability
In: Nursing
In a city with three high schools, all the ninth graders took a Standardized Test, with these results:
| High School | Mean score on test | Number of ninth graders |
|---|---|---|
| Glenwood | 79 | 280 |
| Central City | 94 | 348 |
| Lincoln High | 66 | 151 |
The city's PR manager, who never took a college math class,
claimed the mean score of all ninth graders in the city was 79.7 .
Of course, that is incorrect. What is the mean score for all ninth
graders in the city?
Round to one decimal place.
Mean of all ninth grader's scores =
To compute a student's Grade Point Average (GPA) for a term, the
student's grades for each course are weighted by the number of
credits for the course. Suppose a student had these grades:
3.7 in a 5 credit Math course
2.1 in a 2 credit Music course
3.0 in a 5 credit Chemistry course
3.0 in a 6 credit Journalism course
What is the student's GPA for that term? Round to two decimal
places. Student's GPA =
To compute a student's Grade Point Average (GPA) for a term, the
student's grades for each course are weighted by the number of
credits for the course. Suppose a student had these grades:
3.9 in a 5 credit Math course
2.0 in a 2 credit Music course
2.8 in a 5 credit Chemistry course
3.4 in a 4 credit Journalism course
What is the student's GPA for that term? Round to two decimal
places. Student's GPA =
Every year, the students at a school are given a musical
aptitude test that rates them from 0 (no musical aptitude) to 5
(high musical aptitude). This year's results were:
| Aptitude Score | Frequency |
|---|---|
| 0 | 4 |
| 1 | 3 |
| 2 | 2 |
| 3 | 1 |
| 4 | 5 |
| 5 | 1 |
The mean (¯xx¯) aptitude score: (Please show your answer
to 1 decimal place.)
The median aptitude score:
The mode aptitude score: (Please separate your answers
by ',' in bimodal situation. Enter DNE if there is no mode.)
The Acme Company manufactures widgets. The distribution of
widget weights is bell-shaped. The widget weights have a mean of 57
ounces and a standard deviation of 6 ounces.
a) 95% of the widget weights lie between and
b) What percentage of the widget weights lie between 39 and 69
ounces? %
c) What percentage of the widget weights lie below 63
? %
In: Statistics and Probability
To find out if wealthier people are happier we collect data from 50 people about their income and their overall happiness on a scale from 1 to 10. The correlation coefficient comes out to be -0.25. Given that r=0.025 which means this is a weak negative correlation. In terms of strength, we can conclude that the correlation between income and happiness is moderate. In terms of direction, there is a negative correlation between happiness and income. If we increase the number of subjects in the study to 1000 the errors will increase therefore we may not obtain the desired correlation. It is important to select data randomly because randomly selected data are biased free and give us an unbiased estimator for the population. Consider an example of students interested in a youth festival in a school. If we collect considered statistics class as a sample and get data from all the students this will not be a representative of the population here which is the school.
This is the response I received from my instructor:
Your description of the correlation coefficient was correct overall. Remember that it ranges from -1 to +1 and the closer it is to 0 the weaker it is, and the closer it is to 1 the stronger it is. As a result, if you have a correlation coefficient of -0.25, it would be closer to 0 than 1, which would imply it's relatively weak, although moderate is the word you used. It's not always clear how strong or weak, however, as there aren't definitive cut-offs to determine that. There's another consideration regarding sample size in that as you have a smaller size, there's the chance that the subjects who volunteer for studies have their own inherent reasons for volunteering. In most studies, subjects are volunteers and are therefore a very select group that usually has an interest in the subject or have a reason to participate. In other words, it seems that having a biased sample is almost inevitable as most studies require that subjects volunteer on their own. What does that say about the validity of the research experiments in which subjects volunteer for them - should researchers attempt to eliminate this option? How??
Please help with what he is asking.
What does that say about the validity of the research experiments in which subjects volunteer for them - should researchers attempt to eliminate this option? How??
What does that say about the validity of the research experiments in which subjects volunteer for them - should researchers attempt to eliminate this option? How??
this is the question and I don't know how to answer it
In: Statistics and Probability
Prepare an adjusted trial balance
[The following information applies to the questions
displayed below.]
Wells Technical Institute (WTI), a school owned by Tristana Wells,
provides training to individuals who pay tuition directly to the
school. WTI also offers training to groups in off-site locations.
WTI initially records prepaid expenses and unearned revenues in
balance sheet accounts. Its unadjusted trial balance as of December
31 follows along with descriptions of items a through h that
require adjusting entries on December 31.
Additional Information Items
| WELLS TECHNICAL INSTITUTE Unadjusted Trial Balance December 31 |
|||||
| Debit | Credit | ||||
| Cash | $ | 26,642 | |||
| Accounts receivable | 0 | ||||
| Teaching supplies | 10,245 | ||||
| Prepaid insurance | 15,371 | ||||
| Prepaid rent | 2,050 | ||||
| Professional library | 30,739 | ||||
| Accumulated depreciation—Professional library | $ | 9,223 | |||
| Equipment | 98,000 | ||||
| Accumulated depreciation—Equipment | 16,396 | ||||
| Accounts payable | 26,000 | ||||
| Salaries payable | 0 | ||||
| Unearned training fees | 11,500 | ||||
| Common stock | 24,110 | ||||
| Retained earnings | 78,000 | ||||
| Dividends | 40,988 | ||||
| Tuition fees earned | 104,516 | ||||
| Training fees earned | 38,937 | ||||
| Depreciation expense—Professional library | 0 | ||||
| Depreciation expense—Equipment | 0 | ||||
| Salaries expense | 49,186 | ||||
| Insurance expense | 0 | ||||
| Rent expense | 22,550 | ||||
| Teaching supplies expense | 0 | ||||
| Advertising expense | 7,173 | ||||
| Utilities expense | 5,738 | ||||
| Totals | $ | 308,682 | $ | 308,682 | |
In: Accounting
CASE STUDY
Christopher aged 12 (White UK), Amy aged 8 (dual heritage Caribbean/White UK) and Kerry aged 3(dual heritage Caribbean/White UK) have been removed from their mother (White UK) who is an alcoholic and who attacked Christopher in a drunken rage after Amy disclosed sexual interference by him.
The children do not have the same father and Kerry’s father, Andy (UK born Caribbean) recently left the family home after social services discovered he has sexual offences against children. (This was brought to light when Andy’s other child Mary aged 14 went to social services and informed them about her father and abuse in the family. This is the basis of the previous task above). Their maternal grandfather (White UK), is also a sex offender and it is suspected that he has had unsupervised contact with the children. The maternal grandmother (White Irish), suffered from psychotic illness throughout her life and is currently in hospital.
Amy and Kerry are also displaying sexualised behaviour and Christopher is vey aggressive. He has bitten the foster carer and has been excluded from school for hitting other children and sexual interference with another child.
Amy and Christopher are not doing well in school in any event. They are not learning and are shunned by the other children. The foster care finds faeces about the house and suspects it is Christopher, who has also been discovered hording food in his bedroom.
Kerry is showing signs of developmental delay. She does not give eye contact, she head bangs and does not like to be touched. She was extremely distraught to be removed from her mother and absolutely will not accept comfort from the foster carer, but occasionally will do so from Christopher and Amy.
CONSIDER THE FOLLOWING
1. Your impressions of the children’s attachment style
2. How the world and adults may seem to the children?
3. How you would engage with the children in light of this?
4. What type of assessments would the children need and by whom?
5. What would be their care needs in the short and long term?
6. The advantages and disadvantages of separating the children or keeping them together.
7. How would you consider the children’s contact with family members
In: Nursing
Changes in Education Attainment: According to the U.S. Census Bureau, the distribution of Highest Education Attainment in U.S. adults aged 25 - 34 in the year 2005 is given in the table below.
Census: Highest Education Attainment - 2005
| No | High School | Associate's | Bachelor's | Graduate or | |
| Diploma | Diploma | Degree | Degree | Professional Degree | |
| Percent | 14% | 48% | 8% | 22% | 8% |
In a survey of 4000 adults aged 25 - 34 in the year 2013, the
counts for these levels of educational attainment are given in the
table below.
Survey (n = 4000): Highest Education Attainment - 2013
| No | High School | Associate's | Bachelor's | Graduate or | |
| Diploma | Diploma | Degree | Degree | Professional Degree | |
| Count | 485 | 1922 | 336 | 876 | 381 |
The Test: Test whether or not the distribution of
education attainment has changed from 2005 to 2013. Conduct this
test at the 0.01 significance level.(a) What is the null hypothesis
for this test?
H0: p1 = p2 = p3 = p4 = p5 = 1/5 H0: The probabilities are not all equal to 1/5. H0: p1 = 0.14, p2 = 0.48, p3 = 0.08, p4 = 0.22, and p5 = 0.08. H0: The distribution in 2013 is different from that in 2005.
(b) The table below is used to calculate the test statistic.
Complete the missing cells.
Round your answers to the same number of decimal places as
other entries for that column.
| Highest | Observed | Assumed | Expected | ||||
| i | Education | Frequency (Oi) | Probability (pi) | Frequency Ei |
|
||
| 1 | No Diploma | 485 | 0.14 | 560 | 2 | ||
| 2 | Diploma | 1922 | 0.48 | 3 | 0.002 | ||
| 3 | Associate's | 336 | 4 | 320 | 0.800 | ||
| 4 | Bachelor's | 5 | 0.22 | 880 | 0.018 | ||
| 5 | Grad or Prof | 381 | 0.08 | 320 | 11.628 | ||
| Σ | n = 4000 | χ2 = 6 | |||||
(c) What is the value for the degrees of freedom? 7
(d) What is the critical value of
χ2
? Use the answer found in the
χ2
-table or round to 3 decimal places.
tα = 8
(e) What is the conclusion regarding the null hypothesis?
reject H0 fail to reject H0
(f) Choose the appropriate concluding statement.
We have proven that the distribution of 2013 education attainment levels is the same as the distribution in 2005. The data suggests that the distribution of 2013 education attainment levels is different from the distribution in 2005. There is not enough data to suggest that the distribution of 2013 education attainment levels is different from the distribution in 2005.
In: Math