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vitfil [10]
3 years ago
7

Sophie pays m dollars to rent a car for the weekend. On the drive home, she buys $25 worth of gasoline. Her friend Melody pays f

or one-half the cost of the car rental only. Choose an expression you could use to determine how much Sophie spent. A. m + 25 B. m + 25 –12 C. 12(m + 25) D. 12m + 25
Mathematics
2 answers:
Nat2105 [25]3 years ago
8 0

Answer:

D. 1/2m + 25

Step-by-step explanation:

Sophie pays m dollars to rent a car for the weekend.

On the drive home, she buys $25 worth of gasoline.

From the above question, we are told that:

Her friend Melody pays for one-half the cost of the car rental only.

= m - 1/2m

= 1/2m

Hence, the cost of the rental that sophie is paying for is 1/2m dollars

She buys $25 of gasoline

Let the amount sophie spent be represented by A

The expression you could use to determine how much Sophie spent is given as:

A = 1/2m + 25

Delvig [45]3 years ago
6 0

Answer:

1/2 + 25

Step-by-step explanation:

Don't feel like explaining. :)

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Simplify this expression. 8+3(60/5)
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Answer:44

Step-by-step explanation: 60/5 evaluates to 12

Multiply 3 and 12

1

3*(60/5) evaluates to 36

8+3*(60/5) evaluates to 44

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Find the value of x. 14 and 15
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Answer:

15) x=62

14) 19

Step-by-step explanation:

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3 years ago
The YTM on a bond is the interest rate you earn on your investment if interest rates don’t change. If you actually sell the bond
AURORKA [14]

Answer / Step-by-step explanation:

(a) The rate of return you expect to earn if you purchase a bond and hold it until maturity is the YTM.

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Using a spreadsheet, financial calculator, or trial and error we find:

R = YTM = 9.42%

b) To find our HPY, we need to find the price of the bond in two years. The price of the bond in two years at the new interest rate, will be:

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Therefore,  P2 = $1,139.6

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8 0
3 years ago
(1 point)
fenix001 [56]

Answer:

0.9988 = 99.88% probability that the mean number of eggs laid would differ from 790 by less than 30.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean 790 and standard deviation 92.

This means that \mu = 790, \sigma = 92

Samples of 98

This means that n = 98, s = \frac{92}{\sqrt{98}}

What is the probability that the mean number of eggs laid would differ from 790 by less than 30?

This is the pvalue of Z when X = 790 + 30 = 820 subtracted by the pvalue of Z when X = 790 - 30 = 760. So

X = 820

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{820 - 790}{\frac{92}{\sqrt{98}}}

Z = 3.23

Z = 3.23 has a pvalue of 0.9994

X = 760

Z = \frac{X - \mu}{s}

Z = \frac{760 - 790}{\frac{92}{\sqrt{98}}}

Z = -3.23

Z = -3.23 has a pvalue of 0.0006

0.9994 - 0.0006 = 0.9988

0.9988 = 99.88% probability that the mean number of eggs laid would differ from 790 by less than 30.

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