prepaid insurance account has a balance of 9350 remaining in October 31 2011 of two year policy purchased in April 2010
the calculation was like that
9350 /17 550
prepaid insurance for year
550 *12 = 6600 and was the right amount but why they made it that way

Reflect on the section Planning and Executing Change Effectively, in Chapter 7 of the text (book) Carpenter, M., Bauer, T., & Erdogan, B. (2010). Management Principles, v. 1.1. Summarize the key steps in planning and executing change in a 500 word or more journal entry.

On May 1, 2007, Lisa deposited $792 in an account earning simple discount at an annual rate d. On May 1, 2014, Lisa's balance was 1287.8. How much interest did Lisa earn between May 1, 2007, and May 1, 2010?

Assume that a stock's price was $15 in 2010, $20 in 2011, $24 in 2012, $21 in 2013, and $28 in 2014.

Find the following:

a) The return of the stock in each year

b) The (arithmetic) average of returns

c) The Geometric average of returns

d) The variance and standard deviation of returns

Analyze the time-series data of Balance of Payment of China (Since 2010). Discuss the trend of changes in current, capital and financial accounts. Based on your observation, with other external economic information, what shall the policymakers do in responding to these changes? (800 - 900) words

CONSUMER LAW ( please write the references of detail at the end )

CONSUMER GUARANTEES – Schedule 2 of the Competition and Consumer Act 2010 (Cth) (“the ACL”)

Explain the rule that goods must be reasonably fit for any disclosed purpose.

Can the consumer guarantees be excluded under the ACL?

Question 5 (1 point)

Do sit down restaurant franchises and fast food franchises differ significantly in stock price? Specifically, is the average stock price for sit-down restaurants greater than the average stock price for fast food restaurants? A hypothesis test for two independent samples is run on data recorded from the stock exchange and a p-value is calculated to be 0.4864. What is the appropriate conclusion?

Question 5 options:

Question 6 (1 point)

A medical researcher wants to examine the relationship of the blood pressure of patients before and after a procedure. She takes a sample of people and measures their blood pressure before undergoing the procedure. Afterwards, she takes the same sample of people and measures their blood pressure again. If the researcher wants to test if the blood pressure measurements after the procedure are different from the blood pressure measurements before the procedure, what will the null and alternative hypotheses be? Treat the differences as (blood pressure after - blood pressure before).

Question 6 options:

Question 7 (1 point)

A new gasoline additive is supposed to make gas burn more cleanly and increase gas mileage in the process. Consumer Protection Anonymous conducted a mileage test to confirm this. They took a sample of their cars, filled it with regular gas, and drove it on I-94 until it was empty. They repeated the process using the same cars, but using the gas additive. Using the data they found, they performed a paired t-test with data calculated as (with additive - without additive). If they want to test whether mileage with the additive is greater than mileage without the additive, what are the hypotheses for this test?

Question 7 options:

Question 8 (1 point)

You are looking for a way to incentivize the sales reps that you are in charge of. You design an incentive plan as a way to help increase in their sales. To evaluate this innovative plan, you take a random sample of 48 of your reps and their weekly incomes before and after the plan were recorded. You calculate a difference in income as (after incentive plan - before incentive plan). You are interested in if sales after the program are different from sales before the program. You perform a paired samples t-test with the hypotheses of Null Hypothesis: μ_D = 0, Alternative Hypothesis: μ_D ≠ 0. You see that the average difference in sales was $7.2 with a standard deviation of $185.58. What is the test statistic and p-value of this test?

Question 8 options:

Question 9 (1 point)

You are looking for a way to incentivize the sales reps that you are in charge of. You design an incentive plan as a way to help increase in their sales. To evaluate this innovative plan, you take a random sample of 50 of your reps and their weekly incomes before and after the plan were recorded. You calculate a difference in income as (after incentive plan - before incentive plan). You are interested in if sales after the program are greater than sales before the program. You perform a paired samples t-test with the hypotheses of Null Hypothesis: μ_D ≤ 0, Alternative Hypothesis: μ_D > 0. You see that the average difference in sales was $-14.33 with a standard deviation of $281.86. What is the test statistic and p-value of this test?

Question 9 options:

Data on all residential homes sales in Ames Iowa between 2006 and 2010. The data set contains many explanatory variables on the quantity of physical attributes of residential homes in Iowa sold between 2006 and 2010. Most of the variables describe information a typical home buyer would like to know about a property (square footage, number of bedrooms, size of a lot, etc.)

Now use the Lot.Area

a. Use summary command to see descriptive statistics of Lot.Area

b. what is the mean and median of Lot.Area. Explain Comment on it.

c. Get the histogram of Lot.Area What do you observe?

d. Create new data set for Lot.Area where Lot.Area is than 20000.

e. Get the histogram of the new data for Lot.Area. What do you see? How is it distributed

(Need this in R Script commands)

Interpret the tables below: R, R square

interpret the regression coefficients, either b or beta.

QUESTION 4 [27 marks] Suppose the following quarterly earnings (in N$ millions) have been recorded by Namibia breweries company for the years 2007 to 2010. Year Quarter 2007 2008 2009 2010 1 52 57 60 66 2 67 90 77 82 3 27 75 84 98 4 45 71 63 76 4.1 Compute the 4-period centred moving average for the quarterly sales. [4] 4.2 Compute the seasonal indexes for these quarterly earnings. [10] 4.3 Use the method of least squares from regression analysis to determine the trend line of best fit. Use the zero-sum method for coding. [10] 4.4 Using the trend line you produced in 4.3, estimate the trend value of the time series for Quarter 3 in 2014. [3]