Question 13: Compound Interest Compounding period Future Value Principal Interest Rate Time 250,000 37,750 10 yrs Annually a. 17.23% b. 17.49% С. 20.81% d. 52.09% correction: under compounding period QUARTERLY, NOT semi annually * Question 14: Compound Interest Compounding period Future Value Principal Interest Rate Time 375,000 70,100 5.25% Semi-annually a. 3.40 b. 11.99 C. 32.15 d. 32.22 Question 15: Compound Interest Compounding period Future Value Principal Interest Rate Time 57,350 6.75% 15 mths Monthly a. 62,384.16 b. 130,326.96 С. 157,407.16 d. 865,088.91

Question 13: Compound Interest Compounding period Future Value Principal Interest Rate Time 250,000 37,750 10 yrs Annually a. 17.23% b. 17.49% С. 20.81% d. 52.09% correction: under compounding period QUARTERLY, NOT semi annually * Question 14: Compound Interest Compounding period Future Value Principal Interest Rate Time 375,000 70,100 5.25% Semi-annually a. 3.40 b. 11.99 C. 32.15 d. 32.22 Question 15: Compound Interest Compounding period Future Value Principal Interest Rate Time 57,350 6.75% 15 mths Monthly a. 62,384.16 b. 130,326.96 С. 157,407.16 d. 865,088.91

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section: Chapter Questions

Problem 8RE: Suppose an investment account is opened with aninitial deposit of 10,500 earning 6.25...

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Suppose an investment account is opened with aninitial deposit of 10,500 earning 6.25 interest,compounded continuously. How much will theaccount be warm after 25 years?
QUESTION 1 Greg owes two debt payments – a payment of $5502 that was due in 14 months ago and a payment of $1603 due in 8 months. If Greg makes a payment now, what would this payment be if money is worth 6.10% compounded semi-annually? Assume a focal date of today. Please express your answer to the nearest dollar. Sample input: 2456 for $2456.
QUESTION 10 Suppose that historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine whether the proportion of new car buyers that trade in their old car has statistically significantly decreased, what is the p-value? (please round your answer to 4 decimal places) Please incorporate Excell or graphing calculator functions in your answer.
QUESTION 13 Suppose that historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine whether the proportion of new car buyers that trade in their old car has statistically significantly decreased, what is the p-value? (please round your answer to 4 decimal places)
QUESTION 10 Suppose that historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine whether the proportion of new car buyers that trade in their old car has statistically significantly decreased, what is the p-value? (please round your answer to 4 decimal places) Please incorporate Excel or graphing calculator functions in your answer.
As an active environmentalist who is interested in the impact of climate change on sea level, you focused in developing a mathematical model on the rise of sea level at Mount Kinabalu yearly. Assume that Mount Kinabalu is 4095m above sea level at the beginning of year 2015 as shown in Figure 2.0. However, due to climate change, you found out that there is an increment of 0.002% sea level at the end of each year. Let Pnrepresents the elevation of n years for Mount Kinabalu. Determine the linear recurrence relation after 1 year, 2 years and 3 years. Find a linear recurrence relation to describe the elevation after n What is the elevation of Mount Kinabalu at the end of year 2020?
As an active environmentalist who is interested in the impact of climate change on sea level, you focused in developing a mathematical model on the rise of sea level at Mount Kinabalu yearly. Assume that Mount Kinabalu is 4095m above sea level at the beginning of year 2015 as shown in Figure 2.0. However, due to climate change, you found out that there is an increment of 0.002% sea level at the end of each year. Let Pnrepresents the elevation of n years for Mount Kinabalu. Determine the linear recurrence relation after 1 year, 2 years and 3 years. Find a linear recurrence relation to describe the elevation after n years. What is the elevation of Mount Kinabalu at the end of year 2020?
question 2 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 70 Q2 134.5 Q3 115 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,484 Time 73.2 In general, what quarter is the busiest time of the year? (please just answer 1, 2, 3, or 4)
QUESTION 28 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 72.2 Q2 87.1 Q3 106 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 1,993 Time 75.3 What is the forecast for period 62, if period 62 is a Q1? (please round your answer to 1 decimal place)
A time series trend equation is 23 + 73x. What is your forecast for period 20?
Question 2: Assume that the risk-free rate, RF, is currently 8%, the market return, RM, is 12%, and asset A has a beta, of 1.10. (could be done on word document or excel). Assume that as a result of recent events, investors have become more risk averse, causing the market return to rise by 2%, to be14%. Ignoring the shift in part c, draw the new SML on the same set of axes that you used before, and calculate and show the new required return for asset A. From the previous changes, what conclusions can be drawn about the impact of (1) decreased inflationary expectations and (2) increased risk aversion on the required returns of risky assets?
Look at the four plots in Figure 14.2—the US unemployment rate, thedollar-pound exchange rate, the logarithm of the index of industrial production, and the percentage change in stock prices. Which of these seriesappears to be non-stationary? Which of them appears to resemble a randomwalk?