5. Walker is reading a book that is 792 pages. He reads

Mathematics

1 answer:

masya89 [10]2 years ago

4 0

<h2>Forming Equations from Word Problems</h2>

To form equations from word problems, we can derive mathematical operations as well as variables from the given information.

In this case, each time Walker reads a certain number of pages, we subtract that from the total number of pages left to know how many pages is left to read.

<h2>Solving the Question</h2>

<em>Let r represent the pages left to read.</em>

<em />

792 pages in total

⇒ <em>r</em> = 792

Walker reads 15 pages a day during the week and 25 pages a day during the weekend.

There are 5 weekdays, and he reads 15 pages each of those days. ⇒ <em>r</em> = 792 - 5×15

There are 2 weekend days, and he reads 25 pages each of those days.
⇒ <em>r</em> = 792 - (5×15 + 2×25)

5 weeks have passed

Multiply the terms representing the number of pages he reads a week by 5, for 5 weeks.
⇒ <em>r</em> = 792 - (5×15 + 2×25)×5

<h2>Answer</h2>

<em>r</em> = 792 - (5×15 + 2×25)×5

You might be interested in

Juan goes to the bowling alley every three weeks Percy goes to the bowling alley every five weeks if Juan and Percy meet the fir

Kitty [74]

2 weeks because 5-3 is 2

4 0

3 years ago

Read 2 more answers

Find the distance between Points C(4, 6) and D(−5, 6) without using a coordinate plane.

r-ruslan [8.4K]

Answer:

the answer is 9

Step-by-step explanation:

4 0

3 years ago

A sample of size 126 will be drawn from a population with mean 26 and standard deviation 3. Use the TI-84 calculator.

GenaCL600 [577]

Answer:

1. The probability that x will be more than 25 is 0.6305.

2. The 55th percentile is 26.38.

Step-by-step explanation:

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.

Mean 26 and standard deviation 3.

This means that $\mu = 26, \sigma = 3$