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4 years ago

9

A cube has side lengths of 3.5 mm. What is the surface area of the cube? Enter your answer in the box.

1 answer:

Angelina_Jolie [31]4 years ago

3 0

You find the area of one side of the cube which is 12.25 mm and multiply it by the number of side which is 6. and the answer is 73.5 mm

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What property is this called? 5(3x+6) <br> Please help me

Sladkaya [172]

Answer:

distributive property

Step-by-step explanation:

The distributive property of multiplication states that when a number is multiplied by the sum of two numbers the first number can be distributed to both of those numbers and multiplied by each of them separately then adding the two products together for the same result as multiplying the first number by the sum

4 0

3 years ago

Read 2 more answers

nlexa [21]

Answer:

From my understanding i think it is 315, but I think I'm wrong.

Step-by-step explanation:

7 0

3 years ago

Read 2 more answers

Simplify the expression and write your answer in<br> scientific notation: (1.4 X 103)3

Soloha48 [4]

Step-by-step explanation:

(1.4 X 10³)³

2.744×10⁹

Hope it helps u

5 0

3 years ago

SOLVE FOR X AND Y, WILL GIVE BRAINLIEST

Ipatiy [6.2K]

3x - 15 = 105
3x = 120
x = 40

3(40) - 15 + y + 24 = 180
120 - 15 + y + 24 = 180
129 + y = 180
y = 51

5 0

3 years ago

A group of researchers wants to know whether men are more likely than women to contract a novel coronavirus. They surveyed two r

olasank [31]

Answer:

Test statistic Z= 0.13008 < 1.96 at 0.10 level of significance

null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women

Step-by-step explanation:

<em>Step(I)</em>:-

Given surveyed two random samples of 390 men and 360 women who were tested

first sample proportion

$p_{1} = \frac{360}{390} = 0.9230$

second sample proportion

$p_{2} = \frac{47}{52} = 0.9038$

Step(ii):-

Null hypothesis : H₀ : There is no difference proportion of positive tests among men is different from the proportion of positive tests among women

Alternative Hypothesis:-

There is difference between proportion of positive tests among men is different from the proportion of positive tests among women

$Z = \frac{p_{1}- p_{2} }{\sqrt{PQ(\frac{1}{n_{1} }+\frac{1}{n_{2} } } }$

where

$P = \frac{n_{1}p_{1} +n_{2} p_{2} }{n_{1}+n_{2} }$

P = 0.920

$Z= \frac{0.9230-0.9038}{\sqrt{0.920 X0.08(\frac{1}{390}+\frac{1}{52} } )}$

Test statistic Z = 0.13008

Level of significance = 0.10

The critical value Z₀.₁₀ = 1.645

Test statistic Z=0.13008 < 1.645 at 0.1 level of significance

Null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women

7 0

3 years ago