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maria [59]
3 years ago
7

Need help with this please!!!

Mathematics
1 answer:
BARSIC [14]3 years ago
5 0
I don't like dividing polynomials so I'm going to set x=1 and try them out.

(1-2-14+3)/4 = -3

Of the choices, only D gives -3 when x=1

~~~~~~~~~~~~~~~~~~~~~~

That's as much test-taking as math.  If we were to divide


             x^2 - 5x + 1
          -------------------------------
x + 3 |   x^3 - 2x^2 - 14x + 3
             x^3 + 3x^2
                      -5x^2 - 14x
                       5x^2 + 15x
                                      x + 3 
                                      x + 3

More work, still choice D


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A phone manufacturer wants to compete in the touch screen phone market. He understands that the lead product has a battery life
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Answer:

a)

The null hypothesis is H_0: \mu \leq 10

The alternative hypothesis is H_1: \mu > 10

b-1) The value of the test statistic is t = 1.86.

b-2) The p-value is of 0.0348.

Step-by-step explanation:

Question a:

Test if the battery life is more than twice of 5 hours:

Twice of 5 hours = 5*2 = 10 hours.

At the null hypothesis, we test if the battery life is of 10 hours or less, than is:

H_0: \mu \leq 10

At the alternative hypothesis, we test if the battery life is of more than 10 hours, that is:

H_1: \mu > 10

b-1. Calculate the value of the test statistic.

The test statistic is:

We have the standard deviation for the sample, so the t-distribution is used to solve this question

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, s is the standard deviation and n is the size of the sample.

10 is tested at the null hypothesis:

This means that \mu = 10

In order to test the claim, a researcher samples 45 units of the new phone and finds that the sample battery life averages 10.5 hours with a sample standard deviation of 1.8 hours.

This means that n = 45, X = 10.5, s = 1.8

Then

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

t = \frac{10.5 - 10}{\frac{1.8}{\sqrt{45}}}

t = 1.86

The value of the test statistic is t = 1.86.

b-2. Find the p-value.

Testing if the mean is more than a value, so a right-tailed test.

Sample of 45, so 45 - 1 = 44 degrees of freedom.

Test statistic t = 1.86.

Using a t-distribution calculator, the p-value is of 0.0348.

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