kstorm626
2022-02-13

1) What is the future value of $1,000 in 1 year at 6% interest rate if interest is simple? Compounded monthly?
2) What is the future value of $1,000 in 2 years at a 6% interest rate if interest is compounded annually? Quarterly (i.e., 4 times a year)?
3) You are offered 100,000 in 5 years or 75,000 now in exchange for inventory you are selling. Based on the risk of the buyer and expected inflation, you assume an interest rate of 7% (assume compounded annually). Which offer should you take?
4)
•How much would I have to invest today to have $1,000,000 in 10 years assuming 7 percent interest compounded annually?
•NOTE: This is the same as asking what the present value of 1,000,000 in 10 years at 7 percent interest compounded annually

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a)

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Proving roots of quadratic equations

If$\alpha ,\beta$ are the roots of the quadratic equation $a{x}^{2}+bx+c=0$ , obtain the equation whose roots are $\frac{1}{{\alpha}^{3}}\text{}\text{and}\text{}\frac{1}{{\beta}^{3}}$ .

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If

If, in the above equation

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asked 2022-03-23

Assume that females have pulse rates that are normally distributed with a mean of

μ=74.0

beats per minute and a standard deviation of

σ=12.5

beats per minute. Complete parts (a) through (c) below.

Part 1

**a.** If 1 adult female is randomly selected, find the probability that her pulse rate is between

68

beats per minute and

80

beats per minute.

The probability is

enter your response here.

(Round to four decimal places as needed.)

Part 2

**b.** If

16

adult females are randomly selected, find the probability that they have pulse rates with a mean between

68

beats per minute and

80

beats per minute.

The probability is

enter your response here.

(Round to four decimal places as needed.)

Part 3

**c.** Why can the normal distribution be used in part (b), even though the sample size does not exceed 30?

**A.**

Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size.

**B.**

Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size.

**C.**

Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size.

**D.**

Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size.