All categories

3 years ago

BEST ANSWER GETS BRAINLIEST!!

2 answers:

5 0

It is 2 over 3 times 2 over 3 times 2 over 3 times 2 over 3 times 2 over 3 equals 32 over 243

You first have to multiply the 2/3 five times, then you get your answer

Hope this helps!

777dan777 [17]3 years ago

3 0

2 over 3 plus 5 equals 5 and 2 over 3

You might be interested in

Help ? I need steps on how to do this

Furkat [3]

Answer :- 

the quotient is ( 4x² - 5x + 7 )

Step-by-step explanation:

[ Refer to the attachment for steps ]

We have to eliminate the highest degree coefficient in each step.

And as in division of normal numbers we subtract the things here we do the same ,

but while subtracting we have to take care about the signs !

The negative sign changes the negative sign into positive sign and positive sign into negative sign.

Whereas , a positive sign don't changes the sign.

8 0

3 years ago

You guys can have these free points :)))

fiasKO [112]

Answer:

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

Solve this emergency i will mark you as brainliest

Umnica [9.8K]

Answer:

3/8 cups.

Step-by-step explanation:

2 tablespoons of sugar = 1/16 * 2 = 1/8 cup of sugar.

1/2 cup = 4/8 cups.

So the extra sugar required = 4/8 - 1/8

= 3/8 cups.

3 0

3 years ago

Read 2 more answers

Which describes the turn the angle on the circle shows?

Pachacha [2.7K]

The answer is D: 180 degrees counterclockwise

4 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 $s = \sigma\sqrt{n}$