1) What is the future value of $1,000

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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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.

 

Question content area bottom

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.

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