Maggie bought a house which was quite a dump in 1989 for $75,000. She fixed it up with paint and wallpaper but in 1996 she did a major renovation which cost $50,000. In 1993, she bought a dump of a cottage for $35,000 because it was both on a lake and near some good cross-country ski trails. She winterized it immediately for $10,000. Over time, the dumpy cottage has become quite attractive with the addition of a new roof, siding, windows and doors all of which cost $15,000 in 1995. In addition, she is fond of landscaping and has created quite a beautiful garden. I might add that Maggie has only $40,000 in RRSPs since she prefers to sink her money into her living space.

In July 2006, Maggie lost her job and received $60,000 in severance pay. She put as much as she could into her RRSP (included in the $40,000 above) and put the rest in GICs to help finance her plan. Maggie had been taking courses for several years to become a Master Gardener.

When she lost her job, she decided to live out her dream of having a gardening business where she would design gardens for others with cottages near her and maintain them if they needed it because they mostly come to their cottages on the weekend to relax. In the winter, she will keep the lanes clear (with her snow blower) and check up on the cottages now and again. She gave her corporate clothes to her friend Kate with the proviso that she could stay with her when she comes to the City (which won’t be often because she is very fed up).

When she lost her job, she immediately started renting out the house for $1,600 a month plus utilities. She still has to pay the $2,400 a year taxes and maintenance but figures the house will be her retirement fund. When she started renting out the house, it immediately ceased to be her principal residence – her cottage is now her principal residence. In July 2006, her house was worth $300,000 and the cottage is worth $140,000.

Questions:

a.     Maggie’s house increases in value at about 3% a year from 2006 and she sells it in 2017. How much is her taxable capital gain on the house ignoring real estate commissions?

b.    Maggie’s cottage also increases 3% a year in value. If she also sells it in 2017 in order to buy a bed and breakfast, how much is her taxable capital gain?

A airline wishes to estimate the mean number of seats that are empty on flights that use 737-airplanes. There are 189 seats on a plane. To do so, the airline randomly picks n=35 flights. For each flight, the number of empty seats is counted. The data are given below.

38, 42, 44, 42, 40, 45, 37, 31, 33, 36, 35, 39, 37, 37, 43, 38, 41, 27, 33, 35, 37, 46, 32, 35, 35, 42, 37, 41, 29, 40, 44, 34, 34, 41, 29

(a) Find the mean and the standard deviation of this sample. Use at least three decimal places in each answer.

(b) To construct a confidence interval for the mean number using the T distribution for unoccupied seats on all flights, what condition must you hold?

A. That the number of unoccupied seats are normally distributed.

B. The sample size is sufficiently large for the Central Limit Theorem to provide a valid approximation.

C. The number of unoccupied seats can be modeled by the Binomial distribution.

D. The number of unoccupied seats are not normally distributed.

(c) Find a 90% Student T confidence interval for μ, the mean number of empty seats on this airline's flights. Use at least three decimal points for your lower and upper bounds.

Lower Bound =

Upper Bound

(d) Find a 90% confidence interval for μ, the mean number of empty seats on this airline's flights, by Bootstrapping 1000 samples. Use the seed 7775 to ensure that R-Studio "randomly" samples the same "random" samples as this question will expect.

You can do this by including the code, you can copy it into your R-Studio to bootstrap your samples.

RNGkind(sample.kind="Rejection");

set.seed(7775);

B=do(1000) * mean(resample(c(38, 42, 44, 42, 40, 45, 37, 31, 33, 36, 35, 39, 37, 37, 43, 38, 41, 27, 33, 35, 37, 46, 32, 35, 35, 42, 37, 41, 29, 40, 44, 34, 34, 41, 29), 35));

Use at least three decimal points for your lower and upper bounds.

Lower Bound =

Upper Bound =

One source of new-product ideas is competitors. Steven Fischer recently joined Frankie and Alex Specialty Products as a brand manager. His new boss told him, “We don’t have a budget for new-product development. We just monitor our competitors’ new-product introductions and offer knockoffs of any that look like they will be successful.” Is this practice ethical? Does the AMA Statement of Ethics address this issue?

Go to the American Marketing Association’s website and review the statement. Then discuss what the AMA Statement of Ethics contains that relates to knock-off products.

HERE IS THE ARTICLE:

Codes of Conduct | AMA Statement of Ethics

Statement of Ethics

Preamble

The American Marketing Association commits itself to promoting the highest standard of professional ethical norms and values for its members (practitioners, academics and students). Norms are established standards of conduct that are expected and maintained by society and/or professional organizations. Values represent the collective conception of what communities find desirable, important and morally proper. Values also serve as the criteria for evaluating our own personal actions and the actions of others. As marketers, we recognize that we not only serve our organizations but also act as stewards of society in creating, facilitating and executing the transactions that are part of the greater economy. In this role, marketers are expected to embrace the highest professional ethical norms and the ethical values implied by our responsibility toward multiple stakeholders (e.g., customers, employees, investors, peers, channel members, regulators and the host community).

Ethical Norms

As Marketers, we must:

1. Do no harm. This means consciously avoiding harmful actions or omissions by embodying high ethical standards and adhering to all applicable laws and regulations in the choices we make.
2. Foster trust in the marketing system. This means striving for good faith and fair dealing so as to contribute toward the efficacy of the exchange process as well as avoiding deception in product design, pricing, communication, and delivery of distribution.
3. Embrace ethical values. This means building relationships and enhancing consumer confidence in the integrity of marketing by affirming these core values: honesty, responsibility, fairness, respect, transparency and citizenship.

Ethical Values

Honesty – to be forthright in dealings with customers and stakeholders. To this end, we will:

• Strive to be truthful in all situations and at all times.
• Offer products of value that do what we claim in our communications.
• Stand behind our products if they fail to deliver their claimed benefits.
• Honor our explicit and implicit commitments and promises.

Responsibility – to accept the consequences of our marketing decisions and strategies. To this end, we will:

• Strive to serve the needs of customers.
• Avoid using coercion with all stakeholders.
• Acknowledge the social obligations to stakeholders that come with increased marketing and economic power.
• Recognize our special commitments to vulnerable market segments such as children, seniors, the economically impoverished, market illiterates and others who may be substantially disadvantaged.
• Consider environmental stewardship in our decision-making.

Fairness – to balance justly the needs of the buyer with the interests of the seller. To this end, we will:

• Represent products in a clear way in selling, advertising and other forms of communication; this includes the avoidance of false, misleading and deceptive promotion.
• Reject manipulations and sales tactics that harm customer trust.
• Refuse to engage in price fixing, predatory pricing, price gouging or “bait-and-switch” tactics.
• Avoid knowing participation in conflicts of interest.
• Seek to protect the private information of customers, employees and partners.

Respect – to acknowledge the basic human dignity of all stakeholders. To this end, we will:

• Value individual differences and avoid stereotyping customers or depicting demographic groups (e.g., gender, race, sexual orientation) in a negative or dehumanizing way.
• Listen to the needs of customers and make all reasonable efforts to monitor and improve their satisfaction on an ongoing basis.
• Make every effort to understand and respectfully treat buyers, suppliers, intermediaries and distributors from all cultures.
• Acknowledge the contributions of others, such as consultants, employees and coworkers, to marketing endeavors.
• Treat everyone, including our competitors, as we would wish to be treated.

Transparency – to create a spirit of openness in marketing operations. To this end, we will:

• Strive to communicate clearly with all constituencies.
• Accept constructive criticism from customers and other stakeholders.
• Explain and take appropriate action regarding significant product or service risks, component substitutions or other foreseeable eventualities that could affect customers or their perception of the purchase decision.
• Disclose list prices and terms of financing as well as available price deals and adjustments.

Citizenship – to fulfill the economic, legal, philanthropic and societal responsibilities that serve stakeholders. To this end, we will:

• Strive to protect the ecological environment in the execution of marketing campaigns.
• Give back to the community through volunteerism and charitable donations.
• Contribute to the overall betterment of marketing and its reputation.
• Urge supply chain members to ensure that trade is fair for all participants, including producers in developing countries.

Implementation

We expect AMA members to be courageous and proactive in leading and/or aiding their organizations in the fulfillment of the explicit and implicit promises made to those stakeholders. We recognize that every industry sector and marketing sub-discipline (e.g., marketing research, digital marketing, direct marketing, and advertising) has its own specific ethical issues that require policies and commentary. An array of such codes can be accessed through links on the AMA Web site. Consistent with the principle of subsidiarity (solving issues at the level where the expertise resides), we encourage all such groups to develop and/or refine their industry and discipline-specific codes of ethics to supplement these guiding ethical norms and values.

Sexual or Personal Harassment Policy

Sexual harassment is any conduct, comment, gesture or contact of a sexual nature that is unwanted or unwelcome by any individual, or that might reasonably be perceived by that individual as placing a condition of a sexual nature on any AMA-related activity.

Personal harassment is any conduct, verbal or physical, that is discriminatory in nature, based upon another person’s race, color, ancestry, place of origin, political beliefs, religion, marital status, physical or mental disability, sex, age or sexual orientation. Personal harassment includes but is not limited to discriminatory or other behavior, directed at an individual, that is unwanted or unwelcome and causes substantial distress in that individual and serves no legitimate AMA-related purpose.

The AMA does not tolerate sexual or personal harassment, including at its events. Sexual or personal harassment in any form is strictly prohibited and may be grounds for suspension or termination as an officer, director or member of AMA.

PLEASE MAKE COPY PASTE AVAILABLE

MUST BE 250 WORDS

People are mixed up on the first day of orientation, when they should actually be seated according to their roll number. But they can only move to an empty seat either to their left, right, front or back. If given a starting configuration, will we manage to get everyone seated roll number wise(iterated with rows given a higher priority over columns)? For simplicity, the empty seat is always the (n,n)th element of a nxn matrix. The final configuration should also leave that seat empty

Input Format

The input will consist of n^2 values. The first input gives the value of n and the subsequent (n^2 - 1) inputs correspond to the students' roll number (and their current seated position as determined by the index[0,n^2-1]. Row has a higher priority than column). The maximum value of n in the test cases is 64

Constraints

The runtime of the code in python should be under 20s and in C/C++ should be under 4s

Output Format

You need to return a single digit. 0 if the configuration can not be solved. 1 if the configuration can be solved

Sample Input 0

8 10 13 23 22 56 24 26 12 8 42 32 16 49 35 21 33 36 1 15 51 27 62 61 31 55 29 18 2 45 6 58 14 54 48 38 19 59 52 41 47 57 37 46 4 28 34 7 53 44 3 30 5 11 43 9 60 50 17 40 39 25 20 63

Sample Output 0

1

Sample Input 1

9 28 79 48 16 74 65 24 39 4 56 61 6 77 40 19 49 8 20 54 1 72 11 34 30 18 67 29 73 78 3 69 43 51 36 47 44 63 10 37 68 2 14 38 70 23 26 27 5 25 59 32 62 17 53 76 15 58 64 66 55 41 45 7 52 60 9 42 80 13 35 21 46 12 22 50 57 71 31 33 75

Sample Output 1

1

5. (a) Construct a 99% confidence interval for the mean height of the entire female/male SCC student body.

(b) What is the width of this interval?

(c) Write a sentence interpreting your confidence interval.

(d) Review your 93% and 99% confidence intervals above. Which is wider and why?

male Student # Gender Height Shoe Age Hand

1 M 67 10 19 R

2 M 74 12 17 R

3 M 72 11.5 19 R

4 M 69 10 35 R

5 M 66 9 18 R

6 M 71 10.5 17 R

7 M 72 10.5 17 R

8 M 66 10 20 R

9 M 67 10 18 R

10 M 71 10.5 24 R

11 M 66 10 21 R

12 M 71 10.5 18 R

13 M 69 10 22 R

14 M 66 9.5 18 L

15 M 76 14 18 R

16 M 69 11 22 R

17 M 68 9 19 R

18 M 70 12 30 R

19 M 67 10 24 R

20 M 70 11 21 R

21 M 70 10 52 R

22 M 63 9 27 R

23 M 69 11 22 R

24 M 72 10 22 R

25 M 76 11.5 20 L

26 M 75 11 17 R

27 M 72 11 50 L

28 M 69 11 20 R

29 M 70 12 20 R

30 M 69 11.5 23 R

31 M 70 11 18 R

32 M 67 10 21 R

33 M 68 11 44 R

34 M 76 13 48 R

35 M 62 8 23 L

36 M 69 9 19 R

37 M 72 10 60 R

38 M 73 11.5 41 R

39 M 70 9.5 39 R

40 M 78 15 24 R

41 M 65 8.5 23 R

42 M 68 9.5 20 R

Use the heights from the SCC data to answer the following questions. Men are to use the male data, and women are to use the female data (only answer the questions for ONE set of data, not both).

2. State the following for the SCC sample male heights.

a. Sample size (n)

b. Sample mean (?̅)

c. Sample standard deviation (s

male Student # Gender Height Shoe Age Hand

1 M 67 10 19 R

2 M 74 12 17 R

3 M 72 11.5 19 R

4 M 69 10 35 R

5 M 66 9 18 R

6 M 71 10.5 17 R

7 M 72 10.5 17 R

8 M 66 10 20 R

9 M 67 10 18 R

10 M 71 10.5 24 R

11 M 66 10 21 R

12 M 71 10.5 18 R

13 M 69 10 22 R

14 M 66 9.5 18 L

15 M 76 14 18 R

16 M 69 11 22 R

17 M 68 9 19 R

18 M 70 12 30 R

19 M 67 10 24 R

20 M 70 11 21 R

21 M 70 10 52 R

22 M 63 9 27 R

23 M 69 11 22 R

24 M 72 10 22 R

25 M 76 11.5 20 L

26 M 75 11 17 R

27 M 72 11 50 L

28 M 69 11 20 R

29 M 70 12 20 R

30 M 69 11.5 23 R

31 M 70 11 18 R

32 M 67 10 21 R

33 M 68 11 44 R

34 M 76 13 48 R

35 M 62 8 23 L

36 M 69 9 19 R

37 M 72 10 60 R

38 M 73 11.5 41 R

39 M 70 9.5 39 R

40 M 78 15 24 R

41 M 65 8.5 23 R

42 M 68 9.5 20 R

As indicated below, use two different notations for each isotope. Spelling counts!

Description                                                                        Notation 1                Notation 2

contains 7 protons, 7 electrons, 8 neutrons                    15 over 7 N               Nitrogen-15

contains 4 protons, 4 electrons, 6 neutrons                            ?                               ?

contains 11 protons, 11 electrons, 14 neutrons                      ?                                ?

contains 52 protons, 51 electrons, 74 neutrons                      ?                                ?

57, 69, 70, 71, 74, 77, 79, 80, 80, 80, 80, 81, 81, 82, 85, 85, 86, 88, 91, 95, 95, 100

1) Create a relative frequency table for these data.

2) Create a histogram for these data and comment on the shape of the

distribution (skewed, symmetric, etc).

3) Create a boxplot for the data (you’ll need to report the median, quartiles,

and outliers).

Test the claim that for the population of statistics final exams, the mean score is 73 using alternative hypothesis that the mean score is different from 73. Sample statistics include n=25, x¯¯¯=74, and s=11. Use a significance level of α=0.05. (Assume normally distributed population.) The test statistic is equation editorEquation Editor The positive critical value is equation editorEquation Editor The negative critical value is

Use the data from problem 7 to determine if there is interaction present in this study?

Cite specific statistics to support your claim.

How does the answer to part a effect the results of the study

Drying Time (min)

Paint 20 25 30

1 74 73 78

64 61 85

50 44 92

---------------------------------------------------

2 92 98 66

86 73 45

68 88 85