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Zanzabum
3 years ago
10

E=mc squared solve for c

Mathematics
2 answers:
Allisa [31]3 years ago
7 0

Answer:

c = + √ E

    __  __

           m

Step-by-step explanation:

E=mc^2 for c

E

_  = c^2

m

Alexxx [7]3 years ago
5 0
E = mc 

Start by dividing both sides by m

E/m = c/m^2

E/m = c^2

c = square root of em /m
             OR
c = - square root of em /m 
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According to Nielsen Media Research. of all the U.S. households that owned at least one television set, 83% had two or more sets
Rudik [331]

Answer:

The proportion of U.S. households that owned two or more televisions is 83%.

Step-by-step explanation:

To determine whether the proportions of U.S. households that owned two or more televisions is less than 83% or not let us perform a hypothesis test for single proportion.

<u>Assumptions:</u>

The sample size (<em>n</em>) selected by the local cable company is 300 which is quite large. Then according to the Central limit theorem the sampling distribution of sample proportion follows a normal distribution with mean <em>p</em> and standard deviation \sqrt{\frac{p(1-p)}{n} } .

Since the sampling distribution of sample proportions follows a normal distribution use the <em>z</em>-test for one proportion to perform the test.

<u>The hypothesis is:</u>

H_{0} : The proportion of U.S. households that owned two or more televisions is 83%, i.e. p=0.83

H_{1} :The proportion of U.S. households that owned two or more televisions is less than 83%, i.e. p< 0.83

<u>Decision Rule:</u>

At the level of significance α = 0.05 the critical region for a one-tailed <em>z</em>-test is:

\\ Z\leq -1.645\\

**Use the <em>z</em> table for the critical values.

So, if \\ Z\leq -1.645\\ the null hypothesis will be rejected.

<u>Test statistic value:</u>

z=\frac{\hat{p}-p}{\sqrt{\frac{p(1-p)}{n}}}

Here \hat{p} is the sample proportion.

Compute the value of \hat{p} as follows:

\hat{p}=\frac{X}{n} \\=\frac{240}{300}\\ =0.80

Now compute the value of the test statistic as follows:

z=\frac{\hat{p}-p}{\sqrt{\frac{p(1-p)}{n}}}\\=\frac{0.80-0.83}{\sqrt{\frac{0.83*(1-0.83)}{300} } } \\=-1.383

The test statistic is -1.383 which is more than -1.645.

Thus, the test statistic lies in the acceptance region.

Hence we fail to reject the null hypothesis.

<u>Conclusion:</u>

At 0.05 level of significance we fail to reject the null hypothesis stating that the proportion of U.S. households that owned two or more televisions is  83%.

6 0
3 years ago
the volume of a cube can be found by raising the side lenght to third power. what is the volume of the cube
nataly862011 [7]

if the cube's side equals 2 then it would be 2 x 2 x 2 = 8 or you could say 2 to the 3rd power or 2 cubed

3 0
3 years ago
What should I put for x in the box? first to answer is brainliest
aleksklad [387]

Answer:

x=-1, x= 1

Step-by-step explanation:

4 0
3 years ago
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8. The sum of three consecutive multiples of 11 is 759. Find the multiples.
Ilia_Sergeevich [38]

Answer:

252, 253, 254

Step-by-step explanation:

\frac{759}{3}  \\  = 253

253 is the median. so the multiples will be 252, 253, 254

8 0
4 years ago
Find the domain and range.
Juliette [100K]
It is domain {6, -6, -12, -1, 5} range {6, -9, - 2, 7, 5}
6 0
3 years ago
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