Which is equivalent to 3/8^1/4? 8^3/4<br> A.10<br> B.6<br> C.5<br> D.2

Jamil finds that he reads 1/5 of his 115-page book in 1/4 hour

Nadya [2.5K]

Answer:

He will read 92 pages in an hour going by the current rate at which he reads

Step-by-step explanation:

The complete question is as follows;

Jamil found that he reads 1/5 of his 115 - page book in 1/4 of an hour. At this rate how many pages does he read in an hour

We proceed as follows;

If he reads 1/5 of 115 in 1/4 hour

1/5 of 115 pages refer to 1/5 * 115 = 23 pages

This means that he reads 23 pages in quarter of an hour

So in an hours the number of pages he will read will be 23 * 4 = 92 pages

6 0

3 years ago

The two square pyramids are similar. The side length of the smaller pyramid is 3/4 the side length of the larger pyramid.

Triss [41]

Answer:9/16

Step-by-step explanation:

Since we know it's 3/4 use

r=(3/4)² .... $(\frac{3}{4} x\frac{3}{4} )$ = $\frac{9}{16}$

3 0

2 years ago

X+2 = 7/8 mulltiplied by -15x

Marysya12 [62]

Answer:

x=16/113

Step-by-step explanation:

look at them in order

3 0

2 years ago

Every day, Luann walks to the bus stop and the amount of time she will have to wait for the bus is between 0 and 12 minutes, wit

Nana76 [90]

Answer:

a. 341.902.

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.

n instances of a normal variable:

For n instances of a normal variable, the mean is $n\mu$ and the standard deviation is $s = \sigma\sqrt{n}$