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xeze [42]
3 years ago
8

What is the advantage of using exponential notification

Mathematics
1 answer:
MAVERICK [17]3 years ago
3 0
<span>I found the following about exponential notation at this site: http://www.vendian.org/envelope/dir0/exponential_notation.html "Exponential notation lets you move the decimal point in a number. It simplifies numbers by getting rid of zeros, and making math easier. Getting rid of zeros helps with big 100,000,000 and small 0.000,000,001 numbers.
</span><span>hope this helped

</span>
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If the triangle measure 180 degrees. What is the missing angle?
max2010maxim [7]

Answer:

116

Step-by-step explanation:

36+28=64

180-64=116

3 0
3 years ago
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The heights of women aged 20 to 29 are approximately Normal with mean 61 inches and standard deviation 2.5 inches. Men the same
Tcecarenko [31]

The heights of women aged 20 to 29 are approximately Normal with mean 64 inches and standard deviation 2.7 inches. Men the same age have mean height 69.3 inches with standard deviation 2.8 inches.

5 0
2 years ago
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Dale made a model of a lighthouse using a 4 inches=50 feet if the lighthouse is 120 feet tall, how tall is his model
olchik [2.2K]

Answer:

8 2/5 inches!

Step-by-step explanation:

The lighthouse is 120 feet, and 4 inches of height on the model equals 50 feet of height on the lighthouse. 100 divided by 50 = 2, and 4 multiplied by 2 is 8. 20 divided by 50 = 2/5, so the answer is 8 2/5 inches. :)

3 0
3 years ago
You are supposed to distribute to only one term (the first).
Tom [10]

Answer:

true

Step-by-step explanation:

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Edit: I think I get what your question is now. You are supposed to distribute to every term inside the parenthesis (false)

6 0
2 years ago
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Suppose a large shipment of microwave ovens contained 12% defectives. If a sample of size 474 is selected, what is the probabili
melisa1 [442]

Answer:

P(\hat p>0.14)

And using the z score given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

Where:

\mu_{\hat p} = 0.12

\sigma_{\hat p}= \sqrt{\frac{0.12*(1-0.12)}{474}}= 0.0149

If we find the z score for \hat p =0.14 we got:

z = \frac{0.14-0.12}{0.0149}= 1.340

So we want to find this probability:

P(z>1.340)

And using the complement rule and the normal standard distribution and excel we got:

P(Z>1.340) = 1-P(Z

Step-by-step explanation:

For this case we have the proportion of interest given p =0.12. And we have a sample size selected n = 474

The distribution of \hat p is given by:

\hat p \sim N (p , \sqrt{\frac{p(1-p)}{n}})

We want to find this probability:

P(\hat p>0.14)

And using the z score given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

Where:

\mu_{\hat p} = 0.12

\sigma_{\hat p}= \sqrt{\frac{0.12*(1-0.12)}{474}}= 0.0149

If we find the z score for \hat p =0.14 we got:

z = \frac{0.14-0.12}{0.0149}= 1.340

So we want to find this probability:

P(z>1.340)

And using the complement rule and the normal standard distribution and excel we got:

P(Z>1.340) = 1-P(Z

4 0
3 years ago
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