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schepotkina [342]
3 years ago
11

-3.2(-5.9)(7) = ? answer pls ty

Mathematics
2 answers:
Brut [27]3 years ago
8 0

Answer:

The answer is 132.16

Step-by-step explanation:

Alex17521 [72]3 years ago
4 0
You could google these types of questions, the answer 132.16
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Kelvin can get 6 free sweets

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1 year ago
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SVETLANKA909090 [29]
ST = 1/2 (RV) = VQ = 6

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ST = 6

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8 0
3 years ago
Complete the factorization of 4x2 – 9.
Nastasia [14]
Your Answer would be:

4x2<span> – 9 = (2x - 3)(2x + 3)
</span>
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4 0
3 years ago
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What are the steps to find the slope of the line through the pair of points ? <br>​
Artyom0805 [142]

Answer:

\frac{-15}{-14} \\

Step-by-step explanation:

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8 0
3 years ago
A manufacturing company wants to use a sample to estimate the proportion of defective tennis balls that are produced by a machin
Kitty [74]

Answer:

The least number of tennis balls needed for the sample is 1849.

Step-by-step explanation:

The (1 - <em>α</em>) % confidence interval for population proportion is:

 CI=\hat p\pm z_{\alpha/2}\ \sqrt{\frac{\hat p(1-\hat p)}{n}}

The margin of error for this interval is:

 MOE= z_{\alpha/2}\ \sqrt{\frac{\hat p(1-\hat p)}{n}}

Assume that the proportion of all defective tennis balls is <em>p</em> = 0.50.

The information provided is:

MOE = 0.03  

Confidence level = 99%

<em>α</em> = 1%

Compute the critical value of <em>z</em> for <em>α</em> = 1% as follows:

 z_{\alpha/2}=z_{0.01/2}=z_{0.005}=2.58

*Use a <em>z</em>-table.

Compute the sample size required as follows:

 MOE= z_{\alpha/2}\ \sqrt{\frac{\hat p(1-\hat p)}{n}}

       n=[\frac{z_{\alpha/2}\times \sqrt{\hat p(1-\hat p)} }{MOE}]^{2}

          =[\frac{2.58\times \sqrt{0.50(1-0.50)} }{0.03}]^{2}\\\\=1849    

Thus, the least number of tennis balls needed for the sample is 1849.

8 0
3 years ago
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