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Nataly_w [17]
3 years ago
9

How many 1/2 inch cubes could fit in the rectangular prism 2,4,3?

Mathematics
1 answer:
andriy [413]3 years ago
8 0

Answer:

you search the web

Step-by-step explanation:

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a line passes through the point (-3,-5) and has a slope of 5 write an equation in point slope form for this line
Tanzania [10]

Answer:

y=5x+10

Step-by-step explanation:

1) Plug numbers into slope formula to find b.

y=mx+b

-5=5(-3)+b

2) Simplify to find b.

-5=-15+b

10=b

3) Check work.

-5=-15+10

This statement is true.

4) Write equation.

y=5x+10

4 0
2 years ago
Solve for .x.<br> -9 + 2x + x-3
Novay_Z [31]

Answer:

I belive the answer is 3x - 12

4 0
3 years ago
Can someone help please this is due in 3 minutes, please show your work I’ll mark you as brainliest but you have to hurry and be
kvv77 [185]

Answer:

d = 22g/ 3 cm3

Step-by-step explanation:

Density = mass/ volume

d = 66g/ 9 cm3

d= 22g/3cm3

4 0
3 years ago
A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past
Vadim26 [7]

Answer:

We conclude that deluxe tire averages less than 50,000 miles before it needs to be replaced which means that the claim is not supported.

Step-by-step explanation:

We are given that a particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past studies of this tire, the standard deviation is known to be 8000.

From the 28 tires surveyed, the mean lifespan was 46,500 miles with a standard deviation of 9800 miles.

<u><em>Let </em></u>\mu<u><em> = average miles for deluxe tires</em></u>

So, Null Hypothesis, H_0 : \mu \geq 50,000 miles   {means that deluxe tire averages at least 50,000 miles before it needs to be replaced}

Alternate Hypothesis, H_A : \mu < 50,000 miles    {means that deluxe tire averages less than 50,000 miles before it needs to be replaced}

The test statistics that will be used here is <u>One-sample z test statistics</u> as we know about population standard deviation;

                                  T.S.  = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \bar X = sample mean lifespan = 46,500 miles

            \sigma = population standard deviation = 8000 miles

            n = sample of tires = 28

So, <u><em>test statistics</em></u>  =  \frac{46,500-50,000}{\frac{8000}{\sqrt{28} } }

                               =  -2.315

The value of the test statistics is -2.315.

Now at 5% significance level, the z table gives critical value of -1.6449 for left-tailed test. Since our test statistics is less than the critical value of z as -2.315 < -1.6449, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which we reject our null hypothesis.

Therefore, we conclude that deluxe tire averages less than 50,000 miles before it needs to be replaced which means that the claim is not supported.

4 0
3 years ago
HELPPPP
Tamiku [17]

Answer:

D) -9/4

Step-by-step explanation:

-4(3)³/3(4)²

-4(27)/3(16)

-108/48

divides both by 12

- 9/4

7 0
3 years ago
Read 2 more answers
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