All categories

3 years ago

I’m being timed, correct answer get brainliest

Mathematics

2 answers:

Lerok [7]3 years ago

8 0

Answer:

A, C, E

Step-by-step explanation:

If you choose A 0, you end up with a binomial, so A works.

If you choose B 5xy^3, it cancels out the existing -5xy^3 and you end up with only 1 term, so B does not work.

If you choose C 9x^2y, it adds to the 9x^2y and you have two terms. C works.

If you choose D 8y^4, you end up with 3 terms. D does not work.

If you choose E 4xy^3, it combines with -5xy^3, and you end up with two terms. E works.

Answer: A, C, E

malfutka [58]3 years ago

6 0

The answers would be A B and D i’m pretty sure

You might be interested in

I need help on my quiz!

Fantom [35]

I can’t see good this image

3 0

3 years ago

Evaluate the permutation P(36,19)=____

kondaur [170]

Easy

nPr= $\frac{n!}{(n-r)!}$
here
36P19= $\frac{36!}{(36-19)!}=$
$\frac{36!}{(17)!}=$
$\frac{36*35*34*33*32*31*30*29*28*27*26*25*24*23*22*21*20*19*18}{1}=$
1045843337171591729971200000

6 0

3 years ago

Kevin uses each of the digits 6, 4, 3 and 8, once and once only, to make four-digit numbers.

Lena [83]

Answer:

4683

Step-by-step explanation:

7 0

2 years ago

How are the rules for multiplying and dividing integers similar and how are they different?

3241004551 [841]

Answer:

OK SO IN MULTIPLYING INTEGERS

negative into negative is positive

positive into positive is positive

positive into negative is negative

Step-by-step explanation:

5 0

3 years ago

My Notes A large manufacturing plant uses lightbulbs with lifetimes that are normally distributed with a mean of 1600 hours and

Evgen [1.6K]

Answer:

The bulbs should be replaced each 1436.9 hours.

Step-by-step explanation:

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.

In this problem, we have that:

$\mu = 1600, \sigma = 70$