Discuss the limitations of GDP as a measurement tool.

If the economy runs most efficiently when left on its own (Adam Smith’s invisible hand), then why do we need government involvement? Do you think government should be so heavily involved in our economy?

Write a MIPS Assembly Language program which runs interactively to convert between decimal, binary, and hexadecimal.

1. Request input data type.

2. Request input data.

3. Request output data type.

4. Output the data. Use any algorithm

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages. 1.6 2.4 1.2 6.6 2.3 0.0 1.8 2.5 6.5 1.8 2.7 2.0 1.9 1.3 2.7 1.7 1.3 2.1 2.8 1.4 3.8 2.1 3.4 1.3 1.5 2.9 2.6 0.0 4.1 2.9 1.9 2.4 0.0 1.8 3.1 3.8 3.2 1.6 4.2 0.0 1.2 1.8 2.4 (a) Use a calculator with mean and standard deviation keys to find x bar and s (in percentages). (For each answer, enter a number. Round your answers to two decimal places.) x bar = x bar = % s = % (b) Compute a 90% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (For each answer, enter a number. Round your answers to two decimal places.) lower limit % upper limit % (c) Compute a 99% confidence interval (in percentages) for the population mean μ of home run percentages for all professional baseball players. (For each answer, enter a number. Round your answers to two decimal places.) lower limit % upper limit % (d) The home run percentages for three professional players are below. Player A, 2.5 Player B, 2.3 Player C, 3.8 Examine your confidence intervals and describe how the home run percentages for these players compare to the population average. We can say Player A falls close to the average, Player B is above average, and Player C is below average. We can say Player A falls close to the average, Player B is below average, and Player C is above average. We can say Player A and Player B fall close to the average, while Player C is above average. We can say Player A and Player B fall close to the average, while Player C is below average. (e) In previous problems, we assumed the x distribution was normal or approximately normal. Do we need to make such an assumption in this problem? Why or why not? Hint: Use the central limit theorem. Yes. According to the central limit theorem, when n ≥ 30, the x bar distribution is approximately normal. Yes. According to the central limit theorem, when n ≤ 30, the x bar distribution is approximately normal. No. According to the central limit theorem, when n ≥ 30, the x bar distribution is approximately normal. No. According to the central limit theorem, when n ≤ 30, the x bar distribution is approximately normal.

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.

(a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

(b) Compute a 90% confidence interval for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (Round your answers to two decimal places.)

(c) Compute a 99% confidence interval for the population mean μ of home run percentages for all professional baseball players. (Round your answers to two decimal places.)

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.

(a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

(b) Compute a 90% confidence interval for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (Round your answers to two decimal places.)

(c) Compute a 99% confidence interval for the population mean μ of home run percentages for all professional baseball players. (Round your answers to two decimal places.)

3. Karen runs a print shop that makes posters for large companies. It is a very competitive business. The market price is currently $1 per poster. She has fixed costs of $250. Her variable costs are $1,000 for the first thousand posters, $800 for the second thousand, and then $750 for each additional thousand posters. What is her AFC per poster (not per thousand!) if she prints 1,000 posters? 2,000? 10,000? What is her ATC per poster if she prints 1,000? 2,000? 10,000? If the market price fell to 70 cents per poster, would there be any output level at which Karen would not shut down production immediately? LO10.5

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages. 1.6 2.4 1.2 6.6 2.3 0.0 1.8 2.5 6.5 1.8

2.7 2.0 1.9 1.3 2.7 1.7 1.3 2.1 2.8 1.4

3.8 2.1 3.4 1.3 1.5 2.9 2.6 0.0 4.1 2.9

1.9 2.4 0.0 1.8 3.1 3.8 3.2 1.6 4.2 0.0

1.2 1.8 2.4

(a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to two decimal places.) x = % s = %

(b) Compute a 90% confidence interval for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (Round your answers to two decimal places.) lower limit % upper limit %

(c) Compute a 99% confidence interval for the population mean μ of home run percentages for all professional baseball players. (Round your answers to two decimal places.) lower limit % upper limit %

Florentia (F) is the managing director of XO Pty Ltd, a profitable company that runs a dance school (mainly ballroom dancing style) and that specialises in buying and selling dance clothes for women - mainly between the ages of 45-65 years. XO has a board of directors that includes 5 majority shareholders and F chairs the monthly meetings. Recently, F was having lunch with a friend (Luis) who has no connection whatsoever with XO although F would like him to join the dance school as she wants to attract more male dance partners to attend. At lunch, Luis asks F if her company would be interested in helping him to market a new organic deodorant that he has invented (made from ingredients extracted from mango skin). Luis claims his new product is primarily for young men and has the advantage of helping them think they are more attractive when they use this product. F tells Luis that her company would not be interested because it sells women’s dance clothing and runs a dance studio that is mainly for mature women. However, she offers to help him by setting up a new company called Amazing Mango Products Pty Ltd (AMP). F and Luis become its directors and members. As F contributed most of the setup capital, she became its majority member. AMP is an immediate success and quickly makes considerable profit. At a board meeting of XO nine months later, F proposes that XO enter into a long-term contract with AMP to buy supplies of organic mango-skin deodorant for re-sale. She proposes that many of the women who attend dance school might try it and then promote it on the internet. The board agrees and F negotiates with the board to receive a small commission on every sale as she found this business opportunity for them. XO then makes large profits from selling the organic deodorant. XO then learns informally that F is actually the majority member in AMP. Directors are very annoyed with F and want to know if anything can be done. Has F breached any of her director’s duties? If so, what remedies should XO seek?

A cable runs along the wall from C to P at a cost of ​$3 per​ meter, and straight from P to M at a cost of ​$5 per meter. If M is 16 meters from the nearest point A on the wall where P lies, and A is 59 meters from C, find the distance from C to P such that the cost of installing the cable is minimized and find the cost

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.

1.6, 2.4, 1.2, 6.6, 2.3, 0.0, 1.8, 2.5, 6.5, 1.8, 2.7, 2.0, 1.9, 1.3, 2.7, 1.7, 1.3, 2.1, 2.8, 1.4, 3.8, 2.1, 3.4, 1.3, 1.5, 2.9, 2.6, 0.0, 4.1, 2.9, 1.9, 2.4, 0.0, 1.8, 3.1, 3.8, 3.2, 1.6, 4.2, 0.0, 1.2, 1.8, 2.4

(a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

x = %

s = %

(b) Compute a 90% confidence interval for the population mean μ of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (Round your answers to two decimal places.)

lower limit %

upper limit %

(c) Compute a 99% confidence interval for the population mean μ of home run percentages for all professional baseball players. (Round your answers to two decimal places.)

lower limit %

upper limit %