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puteri [66]
3 years ago
12

Charlie reads quickly. He reads 1 and 3 seventh pages every 2 third minutes. Charlie reads at a constant rate. How many pages do

es charlie read per minute?
Mathematics
1 answer:
andrey2020 [161]3 years ago
7 0
The unit rate would be 1 3/7 ÷ 2/3 10/7 ÷ 2/3 10/7 · 3/2 separate<span> by </span>division<span>, </span>rearrange<span> and multiply 15/7

Charlies reads</span><span> 15/7, or 2 1/7, page per </span>minute.

Hope this helps a bit.
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The sale price of a scooter s $850. The original price was first discounted by 25% and then discounted an additional 15%. What w
ira [324]

Answer:

$1,190

Step-by-step explanation:

$850(0.25) = 212.50

$850(0.15) = 127.50

$850+212.50= 1,062.50

1,062.50+127.50= 1,190

5 0
3 years ago
A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean
Dovator [93]

Answer:

B) 0.0069

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 normally distributed samples are 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.

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.

In this question, we have that:

\mu = 8.4, \sigma = 1.8, n = 40, s = \frac{1.8}{\sqrt{40}} = 0.2846

Find the probability that their mean rebuild time exceeds 9.1 hours.

This is 1 subtracted by the pvalue of Z when X = 9.1. So

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

By the Central Limit Theorem

Z = \frac{9.1 - 8.4}{0.2846}

Z = 2.46

Z = 2.46 has a pvalue of 0.9931

1 - 0.9931 = 0.0069

So the answer is B.

6 0
3 years ago
Sue took a test in both biology and math last week. The biology test had a mean of 70 and a standard deviation of 7 whereas the
Anna [14]

Answer:

c. the biology test

Step-by-step explanation:

To answer this problem we need to calculate the z-score of both tests, using the formula:

z = (x - μ) / σ

Where x is Sue's score, μ is the mean, and σ is the standard deviation.

  • For the <u>biology test</u>, the z-score is:

z = (76 - 70) / 7 = 6/7 = 0.857

  • For the <u>math test</u>, the z-score is:

z = (76 - 75) / 10 = 1/10 = 0.100

Because the z-score for the biology test is greater than the z-score for the math test, Sue did better in the biology test, in comparison to the rest of the class.

6 0
3 years ago
Which equation is equivalent to x^2 - 16x + 49 = 0?
goblinko [34]
Subtract 49 by its negative so now
x^2-16x=-49
then move -16 so
x^2=-49+16x
then add -49 and 16 so then you get
X^2+your answer)
then find the square root because this was in exponential form so find the square root of x^2 and of your answer so
X= Your answer
 do the work
3 0
3 years ago
1) Simplify 5m - 13n - n + 4m.
Keith_Richards [23]
Answer is given above

8 0
3 years ago
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