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brilliants [131]
3 years ago
6

3a^4(2b^6c^3)^2 Can someone help me simplify this?

Mathematics
1 answer:
Grace [21]3 years ago
7 0
First you do 3a^4(2b^6c^3)^2
=12a^4b^12c^6
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Svet_ta [14]
#2- yes because both can be divided or multiplied for example 3 and 9, u can multiply 3x3 to get 9 since the dilation is 3 then yes it is similar triangles
4 0
3 years ago
A box contains 512 grams of cereal. one serving is 56 grams. how many servings of cereal dose the box contain?​ GETS BRAINLIEST
kenny6666 [7]

Answer:

the answer is 9.14 so that means about nine servings of cereal

Step-by-step explanation:

you you divide 512 and 56 and you get a total of 9.14

8 0
2 years ago
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Packages of mixed-colored socks contain 8 pairs of socks. In each package, there are 5 pairs of White socks. How many pairs of w
BabaBlast [244]

125 5 diced by 40 = 125


6 0
3 years ago
What kind of angle is 2X?
andrezito [222]

Answer:

b

Step-by-step explanation:

3 0
3 years ago
Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of people who write wit
SCORPION-xisa [38]

Answer:

Type I error is to Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29.

Type II error is Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is different from 0.29.

Step-by-step explanation:

We are given the following hypothesis below;

Let p = <u><em>proportion of people who write with their left hand</em></u>

So, Null Hypothesis, H_0 : p = 0.22     {means that the proportion of people who write with their left hand is equal to 0.22}

Alternate Hypothesis, H_A : p \neq 0.22      {means that the proportion of people who write with their left hand is different from 0.22}

Now, Type I error states that we conclude that the null hypothesis is rejected when in fact the null hypothesis was actually true. Or in other words, it is the probability of rejecting a true hypothesis.

So, in our question; Type I error is to Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29.

Type II error states that we conclude that the null hypothesis is accepted when in fact the null hypothesis was actually false. Or in other words, it is the probability of accepting a false hypothesis.

So, in our question; Type II error is Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is different from 0.29.

4 0
2 years ago
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