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krek1111 [17]
3 years ago
7

What is the value of p in the equation 13p+42=-57+2p

Mathematics
1 answer:
ira [324]3 years ago
6 0

Answer:

p=-9

Step-by-step explanation:

13p+42=-57+2p

Subtract 2p from each side

13p-2p+42=-57+2p-2p

11p +42 = -57

Subtract 42 from each side

11p+42-42=-57-42

11p = -99

Divide each side by 11

11p/11 = -99/11

p = -9

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Linda borrowed $550 at a 1% monthly interest. She paid $99 in interest. How long did Linda borrow the money
solong [7]

The length of time that Linda borrowed for is 18 months.

<h3>How long did Linda borrow the money?</h3>

The interest paid is a function of the amount borrowed, interest rate and the duration of the loan.

Time = interest paid / (interest rate x amount borrowed)

$99 / (0.01 x 550) = 18 months

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6 0
2 years ago
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
3x-1/5 = 2x+3/7<br><img src="https://tex.z-dn.net/?f=3x%20-%201%20%5Cdiv%205%20%3D%202x%20%2B%203%20%5Cdiv%207%20%5C%5C" id="Tex
Step2247 [10]

Answer:

123

Step-by-step explanation:

7 0
3 years ago
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