Based on the data bellow, answer questions A and B:

2006

Cash in Circulation: $800B

Bank reserves: $20B

Checkable Deposits: $600B

M1 Velocity: 10.2

Real GDP: $14,602B

2017

Cash in Circulation: $1,460B

Bank reserves: $2,317

Checkable Deposits: $1,985B

M1 Velocity: 5.6

Real GDP: $16,872B

a)  Calculate the average annual percentage growth M1, Velocity, and real GDP from 2006 to 2017.

b)  Calculate the annual inflation that that should be expected from 2006 to 2017.

Question 5 (1 point) Question 5 Unsaved The economic crisis of 2008 affected many countries, though some more than others. Some people in Australia have claimed that Australia wasn’t hurt that badly from the crisis. The bank assets (in billions of Australia dollars (AUD)) of the Reserve Bank of Australia (RBA) for the time period of March 2007 through March 2013 are contained in the following table ("B1 assets of," 2013): Table #2.3.11: Data of Date versus RBA Assets Date Assets in billions of AUD Mar-2006 96.9 Jun-2006 107.4 Sep-2006 107.2 Dec-2006 116.2 Mar-2007 123.7 Jun-2007 134.0 Sep-2007 123.0 Dec-2007 93.2 Mar-2008 93.7 Jun-2008 105.6 Sep-2008 101.5 Dec-2008 158.8 Mar-2009 118.7 Jun-2009 111.9 Sep-2009 87.0 Dec-2009 86.1 Mar-2010 83.4 Jun-2010 85.7 Sep-2010 74.8 Dec-2010 76.0 Mar-2011 75.7 Jun-2011 75.9 Sep-2011 75.2 Dec-2011 87.9 Mar-2012 91.0 Jun-2012 90.1 Sep-2012 83.9 Dec-2012 95.8 Mar-2013 90.5 Create a time-series plot of the data, and from it determine which of the following statements is NOT true:

Question 5 options: A) The data shows a steady (linear) increase in the assets held by Reserve Bank of Australia from March 2006 to June 2007

B) With the exception of March 2006 - June 2007 and March - December 2008 temporary decreases, assets of Reserve Bank of Australia have remained relatively unchanged from March 2006 through March 2015

C) The data shows a steady (linear) decrease in the assets held by Reserve Bank of Australia from December 2008 to September 2009

D) With the exception of March 2006 - June 2007 and March - December 2008 temporary increases, assets of Reserve Bank of Australia have remained relatively unchanged from March 2006 through March 2015

Where do you personally stand on the relationship between mental health and religion? What, from religion, can contribute to a person’s psychological well-being? What, from religion, can prove to be problematic for one’s emotional well-being and mental health.

The cellular phone market is a huge market, but it's a new one. For the time being, there are few established rules for the production and advertisement of cell phones. ClairLinx Wireless, a start-up cell phone company, is trying to decide if it should market specific phone service plans to specific groups of customers. ClairLinx divides its market of potential customers into three major groups: single, working; married, working; and retired.

ClairLinx surveyed 500 potential customers (chosen at random) and asked each, "Of the following, which do you consider to be the most important feature in a cell phone service plan: free nights and weekends, free long distance and roaming, or free calls to customers with the same company?"

Each of the 500 potential customers in the survey was categorized according to the service plan feature she considers most important and the customer group in which she appears. The data are summarized in Table 1 below. In the cells of this contingency table are three numbers: the first number is the observed cell frequency (fO); the second number is the expected cell frequency (fE) under the assumption that the two variables type of potential customer and choice of service plan feature are not related; and the third number is the value

(Observed Cell Frequency-Expected Cell Frequency)^2/Expected Cell Frequency

The numbers labeled "Total" are totals for observed frequency.

Fill in the missing values of Table 1. Round your expected frequencies to at least two decimal places, and round your (Observed Cell Frequency-Expected Cell Frequency)^2/Expected Cell Frequency values to at least three decimal places. Then, using the 0.05 level of significance, perform a test of the hypothesis that the two variables type of potential customer and choice of service plan feature are not related. Complete Table 2 based on your test.

Consider the performance of two securities, J and K over the five year period from 2000 to 2004. The annual return earned on each one of them is as provided in the table below:

Required:

Compute the following:

1. The appropriate annual average return for both securities over the 5-year holding period; assuming re-investment of all returns for respective years.

[05 Marks]

2. Assume your organization had K100 million to invest on 01st January, 2000. If 60% was invested in security J, what average return would you have earned from a portfolio comprising the two securities?

[05 Marks]

3. What average volatility would the portfolio be exposed to; assuming the correlation coefficient between returns on securities J and K is -0.852?

[05 Marks]

4. Evaluate the performance of the securities individually and the portfolio. Which investment would you advise management to make? Assume a risk-free rate of 6%.

[05 Marks]

Consider the performance of two securities, J and K over the five year period from 2000 to 2004. The annual return earned on each one of them is as provided in the table below:

Required:

Compute the following:

1. The appropriate annual average return for both securities over the 5-year holding period; assuming re-investment of all returns for respective years.

[05 Marks]

2. Assume your organization had K100 million to invest on 01st January, 2000. If 60% was invested in security J, what average return would you have earned from a portfolio comprising the two securities?

[05 Marks]

3. What average volatility would the portfolio be exposed to; assuming the correlation coefficient between returns on securities J and K is -0.852?

[05 Marks]

4. Evaluate the performance of the securities individually and the portfolio. Which investment would you advise management to make? Assume a risk-free rate of 6%.

[05 Marks]

(Also how to solve on ti-84)

1.

Fuel efficiency. Computers in some vehicles calculate various quantities related to performance. One of these is the fuel efficiency, or gas mileage, usually expressed as miles per gallon (mpg). One of the authors of this book conducted an experiment with his 2006 Toyota Highlander Hybrid by randomly recording mpg readings shown on the vehicle computer while the car was set to 60 miles per hour by cruise control. Here are the mpg values from the experiment:

Sigma, σ, is unknown.

What is the standard error of the mean? (use 3 decimal places)

What is the 98% confidence interval for the mean mpg? [ mpg, mpg] (use 2 decimal places)

The Reliable Aircraft Company manufactures small, pleasure-use aircraft. Based on past experience, sales volume appears to be affected by changes in the price of the planes and by the state of the economy as measured by consumers' disposable personal income. The following data pertaining to Reliable's aircraft sales, selling prices, and consumers' personal income were collected:

The arc price elasticity of demand between 2006 and 2007 is:

–0.36

0.21

0

0.36

Points:

Close Explanation

Explanation:

The arc income elasticity of demand between 2007 and 2008 is:

1.74

3.99

–3.99

0

Points:

Close Explanation

Explanation:

Assume that these estimates are expected to remain stable during 2009. Forecast 2009 sales for Reliable assuming that its aircraft prices remain constant at 2007 levels and that disposable personal income will increase by 7%. Also assume that the arc income elasticity you just computed is the best available estimate of income elasticity.

Aircraft Sales 2009 Forecast: selector 1

• 505
• 351
• 589
• 449
• 512

Points:

Close Explanation

Explanation:

Forecast 2009 sales for Reliable given that its aircraft prices will increase by 6% from 2008 levels and that disposable personal income will increase by 7%. Assume that the price and income effects are independent and additive and that the arc income and price elasticities you just computed are the best available estimates of these elasticities to be used in making the forecast.

Aircraft Sales 2009 Forecast: selector 1   

Conduct the hypothesis test and provide the test​ statistic, critical value, and​ P-value, and state the conclusion. A person randomly selected 100 checks and recorded the cents portions of those checks. The table below lists those cents portions categorized according to the indicated values. Use a 0.10 significance level to test the claim that the four categories are equally likely. The person expected that many checks for whole dollar amounts would result in a disproportionately high frequency for the first​ category, but do the results support that​ expectation?

Cents portion of check: ​0-24, ​25-49, ​50-74, ​75-99

Number: 32, 24, 17, 27

Q. Why some governments resort to price ceiling and price floor for some goods and services? Describe three most important disadvantages of price ceiling and price floor? In what conditions do think that price ceiling and price floor may contribute to the welfare of people?

Select two to three different cultural populations. What strategies would you use to address prevention, treatment programs, and positive change (staying abstinent) for each of the selected populations? What factors would contribute to these groups being at risk for increased drug or alcohol problems?