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Degger [83]
2 years ago
13

devon pays $24.95 for her roller skates.After that she pays$3.95 for each visit to the roller rink. What is the greatest number

of visits she can afford if the total amout she spends cannot be more than $76.30
Mathematics
2 answers:
algol132 years ago
7 0
24.95 + 3.95x < = 76.30
3.95x < = 76.30 - 24.95
3.95x < = 51.35
x < = 51.35/3.95
x < = 13....the greatest number is 13
Juliette [100K]2 years ago
3 0

Answer:

13 visits

Step-by-step explanation:

First, you would want to set up a mathematical equation from the given information.

Roller skates: $24.95

Visit: $3.95

Total money: $76.30

Equation: $24.95 + $3.95*X = $76.30

The number of times she can go is denoted by X, as we don't know yet what the answer is.

Solving the equation to:

$3.95*X = $76.30 - $24.95

X = $51.35/$3.95

X = 13

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Step-by-step explanation:

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2 years ago
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Answer:

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Read 2 more answers
A hospital finds that 22% of its accounts are at least 1 month in arrears. A random sample of 425 accounts was taken. What is th
GenaCL600 [577]

Answer:

8.85% probability that fewer than 82 accounts in the sample were at least 1 month in arrears

Step-by-step explanation:

For each account, there are only two possible outcomes. Either they are at least 1 month in arrears, or they are not. The probability of an account being at least 1 month in arrears is independent from other accounts. So the binomial probability distribution is used to solve this question.

However, we are working with a large sample. So i am going to aproximate this binomial distribution to the normal.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

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p = 0.22, n = 425

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What is the probability that fewer than 82 accounts in the sample were at least 1 month in arrears

This probability is the pvalue of Z when X = 82. So

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

Z = \frac{82 - 93.5}{8.54}

Z = -1.35

Z = -1.35 has a pvalue of 0.0885.

8.85% probability that fewer than 82 accounts in the sample were at least 1 month in arrears

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