Three dimensions of cultural competence include self-awareness, respectful communication, and collaborative partnerships. We all have our own biases and need to recognize them in order to provide culturally competent care. Our clients are experts on their culture and can teach us in order to better understand and care for them.

Identify your own biases and discuss what changes you would recommend for yourself in order to become a more culturally competent individual. List a minimum of one resource, using APA formatting, that supports your discussion.

Discuss whether there are insolvency concerns for a company with high financial leverage and a high times interest earned ratio? What factor related to earnings could influence this association.

Mr. and Mrs. Poe earned $115,900 compensation income and $963 interest this year and recognized a $600 short-term capital gain and a $7,200 long-term capital gain on the sale of securities. They incurred $4,400 investment interest expense and $25,500 other itemized deductions. Use Individual tax rate schedules and Tax rates for capital gains and qualified dividends.

1. Compute the Poe’s income tax on a joint return if they don’t elect to treat long-term capital gain as investment income.
2. Compute the Poe’s income tax if they elect to treat enough long-term capital gain as investment income to allow them to deduct their investment interest.

Visit ONE of the three example capmaign web pages listed below:

1. Action for Healty Kids: http://www.afhk.org/

2. Eat Smart, Move More NC: http://www.eatsmartmovemorenc.com/

3. Get Active, Let's Move: http://www.letsmove.gov/get-active

Choose one physical activity campaign to discuss. If you would like to discuss one not included above, please do (be sure to tell us where to access it).

In your primary post tell us the 5 W's (Who, What, Where, When, and How) regarding the campaign you chose. Importantly tell us the main channels (t.v., radio, print media, community based organizations, etc...) that the campaign has designed to reach the targeted audience.

Lisa bodell;

What holds us back from better embracing change might not be what you think.and I think its two things: the first thing is mindset. And what we always find with leaders is we can’ tell them that they’re the ones that are holding us back from change, we have to show them. And the reason why I think mindset is what holds us back is we don’t realize how much we resist change on a regular basis.in fact one of things I talk about a lot with people is that I don’t think we’re grooming leaders right now; I think that we are grooming professional skeptics. A lot of people are becoming risk averse because so much is on the line. They are skeptical because the unknown is obviously more frightening than the known. And you can ask people, wen you give them new ideas, what they think about that idea. And most times, nine times out of ten, people’s reaction will be able to tell you what they don’t like about the idea first before they can tell you what they like. So shifting the mindset to seeing possibilities, what could happen versus whats wrong with something, keeps an idea alive. And thats very important in terms of getting people in the mindset for change. Don’t shut something down before you give it a fair chance. The second thing that I think holds us back is our assumptions. And I talk a lot about this in my book kill the company is that we have a lot of assumptions. Around how things should work, have always worked, need to work, we’ve already tried things that way and I think one of the problem is our assumptions hold us back from actually attacking problems. And what I mean by this is often we look at problem as very big, very large, and thats because we have a lot of assumptions about the problem. And we teach people how to break down a problem into truths or many assumptions and attacks those individual assumption and turn them on their head.if you can actually take our assumptions and change then you can start to see again more possibilities for change. We Did a case study with several companies but one primarily down in Wall Street. And what was interesting about it is we worked together to come up with a new ways to instill change in an organization. Most companies when they her about a change program now they just want to hear to turn off. Everyone has change fatigue. And the reason for that is most change initiatives simply don’t work. And we wanted to go about in a new way.so we tested all kinds of things from tools that were amazing to techniques that were horrible and failed, but what came out of the research that we did with several companies over any years, but one intently over eight weeks was this: change cannot be put on people. The best way to instill change is to do it with them.create it with them. The second thing is that change of course has to be supported from the top down. It must be supported from the top down. But where change happens is from the middle out.so the people that are sitting in what you do every day, which is meetings and emails, the people that are doing those things every day, more than they’d like, those are the ones that are going to be creating the change; they’re the ones that have to be in power to do it. The third thing is that I don’t think it should be a 12-step program. People are beyond tired of 12-step programs. They need a toolkit; an on-demand toolkit of tools that they can use when they’re stressed out, when something happens suddenly, when they just don’t know what else to do.the final thing is change can’t be complex. We have to work on simplifying, so from my perspective

And at my company if theres a tool that we have that take us more than an hour to teach you, we should be fired. We should only give you simple tools that every layer of the organization can use and get on the same page with change.

Question: In the article above, Lisa Bodell addresses resisting change. What insights have you gained from her presentation?

NB:

1. Questions: 3.1 - 3.3 are related. Make use of the information provided in 3.1 to answer 3.2 & 3.3.

2. Questions: 4.1 - 4.4 are related. Make use of the information provided in 4.1 to answer 4.2, 4.3 & 4.4.

3. Questions: 5.1 - 5.3 are related. Make use of the information provided in 5.1 to answer 5.2 & 5.3.

3.1 An IQ test was given to five MBA students before and after they completed the MBA degree. Test whether there is any improvement (increase) in the IQ of the same students after completing MBA degree. Note: μ1 = population mean IQ before; μ2 = population mean IQ after. Hint: If the mean IQ has improved, then the mean IQ difference ∂ < 0; otherwise, the mean IQ difference ∂ > 0. Question: Formulate the Null and Alternative Hypothesis for this problem.

2 points

Students 1 2 3 4 5

IQ test scores before MBA 110 120 123 132 125

IQ test score After MBA 120 118 125 136 121

use above information

a) H0: IQ mean difference ∂≥0 vs H1: IQ mean difference ∂>0

b) H0: IQ mean difference ∂≤0 vs H1: IQ mean difference ∂>0

c) H0: IQ mean difference ∂=0 vs H1: IQ mean difference ∂≠0

d) H0: IQ mean difference ∂≥0 vs H1: IQ mean difference ∂<0

3.2 Make use of the information provided in the previous question calculate the t-statistic using T-test and tick the correct answer below.

10 points

a) t-statistic = -2.319

b) t-statistic = 0.1028

c) t-statistic = -1.028

d) t-statistic = -0.816

3.3 Based on your empirical evidence in the previous question make your statistical conclusion at the 5% level of significance whether there is any improvement in IQ of the same students after completing MBA degree. Tick the correct answer below.

5 points

a) None of these answers is correct.

b) Fail to reject the Null hypothesis, the Null is probably true that IQ remains the same has not improved after completing the MBA degree.

c) Reject the Null hypothesis. The alternative is probably true that IQ has improved after completing the MBA degree.

d) Accept the Null hypothesis because the t-statistic is very close to zero.

4.1 A company that manufacturers wooden products (e.g. garden furniture, ladders, benches) regularly maintains its lathe machines, which are used for cutting and shaping components. The manager would like to know whether the cost of machine maintenance is related to the age of the machines. For a random sample of 8 lathe machines in the company's factory, the annual maintenance cost (in N$100s) and age of each machine was recorded. Question: Identify the independent variable and the dependent variable. Tick the correct answer below.

2 points

Machine 1 2 3 4 5 6 7 8

Age 4 2 3 8 6 7 1 2

Annual Cost 45 20 39 66 58 50 14 18

Table 2. Maintenance costs analysis

a) Machine =Independent variable & Age =Dependent variable

b) Machine & Age =Independent variables, Annual Cost =Dependent variable

c) Annual cost=Dependent variable & Age =Independent variable

d) Age =Independent variable & Machine =Dependent variable

4.2 Use the information given in the previous question and using the method of least squares, which of the equation listed below represent the best fitting regression line between the age of lathe machines and their annual maintenance costs? Tick the correct answer below.

10 points

a) Machine & Age =7.1306 + 9.336Annual costs

b) Annual cost = 7.336 +6.1306Age

c) Annual cost = 9.336 + 7.1306Age

d) Age = 7.1306 + 9.431Annual cost

4.3 Calculate the sample correlation coefficient (r) between the annual maintenance cost and age of each machine. Question: Which of the options below is the correct answer?

5 points

a) r = -0.91

b) r = 0.89

c) r = 0.87

d) r = 0.94

4.4 Question: What is the expected average maintenance cost of a lathe machine that is five years old? Tick the correct answer below.

4 points

a) 45.04

b) 40.67

c) 42.77

d) 41.77

5.1 In May 2010, the Snap poll asked British adults their opinion on whether they are in favour of or opposed to using profiling to identify potential terrorists at airports, a practice used routinely in Israel, but not in the UK. Does opinion depend on age? Or are opinion and age independent? Table below show some numbers from Snap Poll. Question: Formulate the Null and Alternative Hypothesis for this problem.

2 points

Age 18-29 30-49 50-64 65+

Favour 57 66 77 87

Oppose 43 34 23 13

Table 3. Snap Poll Results

a) The null hypothesis is that Opinion and Age are the variables.

b) The null hypothesis is that Opinion and Age are associated vs. The alternative hypothesis is that Opinion and Age are not associated.

c) The null hypothesis is that Opinion and Age are independent vs. The alternative hypothesis is that Opinion and Age are dependent.

d) The alternative hypothesis is that Opinion and Age are independent vs. The null hypothesis is that Opinion and Age are dependent.

5.2 Does opinion depend on age? Or are opinion and age independent? Using the information in the previous question calculate the Chi-square-statistic using Chi-square-test. Tick the correct answer below.

10 points

a) Chi-squares-stat = 25.20

b) Chi-squares-stat = 14.76

c) Chi-squares-stat = 23.20

d) Chi-squares-stat = 21.19

5.3 Based on your empirical evidence in the previous question, and using a 5% level of significance, make your statistical conclusion about the association between opinion and age. Tick the correct answer below.

5 points

a) Reject the Null hypothesis and conclude that Age and Opinion about Profiling are not independent. The alternative is probably true.

b) Accept the alternative and conclude that Age and Opinion about Profiling are independent.

c) Fail to reject the Null hypothesis, the alternative is probably false.

d) None of these answers is correct.

1. Identify and discuss the key macro and micro environmental factors affecting TOYS R US Company. How has the company responded to these challenges?

Sana worked in the Sales department at VMCC Company which sells rice & pulses to wholesalers, retailers, and consumers in Sultanate of Oman . Sana is new employee and had only completed 3 months. One day, Sana received a call from a dissatisfied customer who complained that VMCC products are short in measures (Less quantity). On the packet, it shows 1 kilogram, but the actual weight is 850 Grams. She said sorry to the customer and said that it must be an error with one packet and asked her to collect a new packet from the store. The next day, Sana randomly checked few packets for their weight and she found that many packets are not weighing the right measures. She went to the manager and reported the short measures problem and mentioned the customer complaint. The manager said "It is not a big issue, Most of the customer dont check the weight and it gives us chance to sell extra packets"

i. Do you think VMCC Company is doing right by providing short measures (Less quantity) to the customer? Justify your answer with valid reason. [2 Marks - Answer in 50-75 Words] ii. VMCC products are short in measures (Less quantity) and Sana reported this to the manager, but he didn't take any actions. What do you think Sana should do? [3 Marks - Answer in 75-100 Words]

1. A researcher has gathered information from a survey of 25 randomly selected university campuses. From this data, it was reported that the average number of reported sexual assaults on these campuses in the last year was 12 with a standard deviation of 3. Calculate a 95% confidence interval to estimate the average number of sexual assaults on Canadian university campuses as a whole. Remember to report your confidence interval in a complete sentence and describe what it means. (15%)

2. A survey was conducted at Acadia on attitudes toward the campus alcohol policy against drinking games in residence with 262 randomly selected residence students. In response to the question, “Are you in favour of the drinking games policy?” 25% were in favour. What is the 99% confidence interval to estimate the percentage of all Acadia residence students regarding the drinking game policy? Remember to report your confidence interval in a complete sentence and describe what it means. (15%)

3. School boards in Nova Scotia, on average receive a budget of $623.00 per student from the provincial government. A random sample of 45 rural schools report that they received on average $605 per student with a standard deviation of $74. Is there a significant difference in the budgets between rural schools and the whole province? (20%)

This question is an example of statistical research using hypothesis testing. You will need to use the 5 step model of hypothesis testing to test for significance at a=.05.

• State assumptions

• State the null hypothesis and the alternative hypothesis
• State the appropriate hypothesis test for each question and determine your critical scores for testing significance at .05
• Calculate your test statistic making sure you show your formulas
• Interpret your results using complete sentences indicating is significance was determined

4. Nationally, the unemployment rate for teenage males is 18%. A random sample of 323 teenage males in your area reveals an unemployment rate of 21.7%. Are our local teens more likely to be unemployed?   (20%) This question is an example of statistical research using hypothesis testing. You will need to use the 5 step model of hypothesis testing to test for significance at a=.01.

• State assumptions

• State the null hypothesis and the alternative hypothesis
• State the appropriate hypothesis test for each question and determine your critical scores for testing significance at .01
• Calculate your test statistic making sure you show your formulas
• Interpret your results using complete sentences indicating is significance was determined

USING SPSS

5. What is the 99% confidence interval for the proportion of Canadians that have more than a high-school education? For this question you will need to use your data (your sample of Canadian) from the Canadian Community Health Survey. Use the variable (EDUDH04), create a new variable where 1=more than high school, and 0= every other VALID response. Calculate the statistics you need to construct your confidence internal, and then calculate the interval by hand by using the appropriate formula. (20%)

Copy and past a frequency table of your dummy variable (make sure your new variable is labelled) into your assignment. Copy and paste your statistics box. Write your answer in a complete sentence and describe what it means.