Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 42 women athletes at the school showed that 22eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 1% level of significance.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: p = 0.67; H₁:  p < 0.67H₀: p = 0.67; H₁:  p > 0.67     H₀: p < 0.67; H₁:  p = 0.67H₀: p = 0.67; H₁:  p ≠ 0.67

(b) What sampling distribution will you use?

The standard normal, since np > 5 and nq > 5.The Student's t, since np < 5 and nq < 5.     The Student's t, since np > 5 and nq > 5.The standard normal, since np < 5 and nq < 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.     At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67.There is insufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 38 women athletes at the school showed that 21 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 5% level of significance.

(a) What is the level of significance?____

State the null and alternate hypotheses.

__H₀: p = 0.67; H₁: p ≠ 0.67

__H₀: p = 0.67; H₁: p < 0.67    

__H₀: p < 0.67; H₁: p = 0.67

__H₀: p = 0.67; H₁: p > 0.67

(b) What sampling distribution will you use?

__The Student's t, since np < 5 and nq < 5.

__The Student's t, since np > 5 and nq > 5.    

__The standard normal, since np < 5 and nq < 5.

__The standard normal, since np > 5 and nq > 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)____


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)_____

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

__At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.

__At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.    

__At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

__At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

__There is sufficient evidence at the 0.05 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

__There is insufficient evidence at the 0.05 level to conclude that the true proportion of women athletes who graduate is less than 0.67.    

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 41 women athletes at the school showed that 23eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 5% level of significance.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: p = 0.67; H₁:  p > 0.67H₀: p = 0.67; H₁:  p ≠ 0.67     H₀: p = 0.67; H₁:  p < 0.67H₀: p < 0.67; H₁:  p = 0.67

(b) What sampling distribution will you use?

The Student's t, since np < 5 and nq < 5.The standard normal, since np > 5 and nq > 5.     The Student's t, since np > 5 and nq > 5.The standard normal, since np < 5 and nq < 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.     At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the true proportion of women athletes who graduate is less than 0.67.There is insufficient evidence at the 0.05 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 36 women athletes at the school showed that 23 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 10% level of significance.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: p < 0.67; H₁:  p = 0.67

H₀: p = 0.67; H₁:  p < 0.67     

H₀: p = 0.67; H₁:  p ≠ 0.67

H₀: p = 0.67; H₁:  p > 0.67

(b) What sampling distribution will you use?

The Student's t, since np < 5 and nq < 5.

The standard normal, since np > 5 and nq > 5.     

The Student's t, since np > 5 and nq > 5.

The standard normal, since np < 5 and nq < 5.

What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)


Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant.     

At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.10 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

There is insufficient evidence at the 0.10 level to conclude that the true proportion of women athletes who graduate is less than 0.67.    

Women athletes at the a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 40 women athletes at the school showed that 22 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 1% level of significance.

(a) State the null and alternate hypotheses. H0: p < 0.67; H1: p = 0.67 H0: p = 0.67; H1: p < 0.67 H0: p = 0.67; H1: p ≠ 0.67 H0: p = 0.67; H1: p > 0.67

(b) What sampling distribution will you use? The standard normal, since np < 5 and nq < 5. The standard normal, since np > 5 and nq > 5. The Student's t, since np > 5 and nq > 5. The Student's t, since np < 5 and nq < 5. What is the value of the sample test statistic? (Round your answer to two decimal places.)

(c) Find the P-value of the test statistic. (Round your answer to four decimal places.) and Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67. There is insufficient evidence at the 0.01 level to conclude that the true proportion of women athletes who graduate is less than 0.67.

1.      Who is H.M? What does his story tell us about the hippocampus? What kinds of memory impairments did he have, and what kinds of memories were spared? In your answer, describe and discuss types of memory impairments, and the types of memories that were spared, and include examples of each.

Luxury and Speed at Louis Vuitton

This activity is important because agile organizations rely on uniquely flexible, organic structures that can respond quickly to customer and market needs. Managers should be aware of this type of structure, as it is increasingly needed in global markets where the time from manufacturing to stores is faster than ever.

The goal of this activity is to demonstrate your understanding of organizational structure by reading a case and answering questions that follow.

Read the following case about Louis Vuitton and choose the best answer to each question.

Agile production is the application of advanced technology, processes and employee training that allow a company to respond quickly and efficiently to market needs, while maintaining quality.

Louis Vuitton, a private $50 billion company founded in 1854, is a “suborganization” of Louis Vuitton Moët Hennessy (LVMH), a public company. LVMH has a decentralized structure that allows its sub-organizations to operate independently.

Quality is synonymous with Louis Vuitton (LV) luxury leather goods, but certainly not what you think of when hearing “agile production.” However, Louis Vuitton is a leader in luxury goods time-to-market manufacturing, with low production quality defects and work processes that rely on highly skilled workers.

How can it be possible to combine speed, quality, and changing trends? Louis Vuitton credits agile production. With 460 stores in 50 countries in 2018, the newest 2019 manufacturing sites in France have natural light, fewer supervisors and modular workstations. Along with the fast-to-market, high-quality processes, the company reduces waste and meets environmental protection standards.

Hiring highly skilled employees is very important because workers may complete any part of the product. The company states that it hires only 10% of applicants and that they must have “superior skills.” Even then, the new employees take part in six months of training. It’s not just the employees who are highly skilled. The high-tech machines easily switch modes to adapt to the stage of production. The gains are not just in speed but in lower defects and fewer returns.

The parent company LVMH states that its goal is for Louis Vuitton to “strive to master their distribution: in this way, they offer their clientele unique purchasing experiences.”

Question 1: Louis Vuitton would be considered what type of organization?

a. Hierarchical

b. Mechanistic

c. Matrix

d. Multicultural

e. Organic

Question 2: The business environment for Louis Vuitton would be considered ________ and, therefore, needing ________.

a. Stable; low-cost

b. Dynamic; Stability

c. Low-cost; stability

d. Dynamic; Flexibility

e. Stable; Stability

Question 3: A key part of agile work at Louis Vuitton is having employees who are?

a. Not too specialized and can work at different stages of the production process.

b. Able to train other employees in their specialization.

c. From other industries from which they can bring ideas for new products.

d. Able to work in a highly centralized, formalized environment.

e. Highly specialized and experts in one area of production.

Question 4: The Louis Vuitton new manufacturing sites in France are not consolidated into one very large factory, so the smaller size will help?

a. Increase centralization.

b. Decrease organic nature.

c. Increase formalization

d. Lower formalization.

e. Increase span of control.

For each short answer, the word limit is 100 words. You need to make assumption clear, reasonable and explicit if making any. The quality and logic of arguments determine your marks. (4 marks each)

1. Donald Trump promised a more aggressive fiscal policy with a large increase in spending and significant tax cuts leading to a much larger government (budget) deficit. The US economy was at near the full employment (the unemployment rate in the US was low below 5%), what do you expect will be the response of the US Central Bank in terms of changes to the cash rate? Explain.

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2. The Central Bank of New Zealand has a higher inflation target than the Reserve Bank of Australia. Does this tend to depreciate or appreciate the New Zealand dollar against the Australian dollar? Explain

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3. What are the reasons for increasing convergence between emerging economies (defined as countries with lower GDP per capita but growing rapidly) and advanced economies (countries with high GDP per capita but lower growth)? Explain.

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4. You have successfully secured the mortgage of worth in $1,000,000 from the Bank to purchase a house. After the contract has been written, inflation in the economy turned out to lower than what was expected. Who gained and lost from this development? Explain.

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5. The government (and the central bank) has an easier job of dealing with the macroeconomic impacts of consumers and investors being pessimistic about the future of the economy than the period of stagflation. Do you agree? Explain

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