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andrezito [222]
3 years ago
15

Write two equivalent fractions for 10 to 3

Mathematics
1 answer:
saw5 [17]3 years ago
7 0
20/6 because 20 x 3 = 6 x 10 = 60. 309 is equivalent to 10/3 because 30 x 3 = 9 x 10 = 90.
40/12 is equivalent to 10/3 because 40 x 3 = 12 x 10 = 120.
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When we first learn arithmetic, we focus on working with whole numbers. Then, we extend our understanding to fractions and negat
vodka [1.7K]

Answer:

I don't think I can remember every skill I was taught through the years but in Kindergarten we used Number Sense so we could understand the meaning of more and less also there's estimation and  PEMDAS. I've also learned how to round up so that the solution is at least around those numbers if the skill is to be applied.

hope that helps

Step-by-step explanation:

3 0
2 years ago
1. What is the value of H? (1 point)<br><br>A. 4<br>B. 8√3<br>C. 16<br>D. 8√2​
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Answer:

D

Step-by-step explanation:

Using the sine ratio in the right triangle

noting that sin45° = \frac{1}{\sqrt{2} } ← exact value

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Multiply both sides by h, then

h ×\frac{1}{\sqrt{2} } = 8

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Step-by-step explanation:

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3 years ago
A high school statistics class wants to estimate the average number of chocolate chips in a generic brand of chocolate chip cook
Viktor [21]

Answer:

Correct option:

We are 95% certain that the confidence interval of 18.6 to 21.3 includes the true average number of chocolate chips per cookie.

Step-by-step explanation:

The general formula for the (1 - <em>α</em>)% confidence interval for population<em> </em>mean is:

CI=\bar x\pm CV \times SE_{\bar x}

Here:

\bar x = sample mean

CV = critical value

SE_{\bar x} = standard error of mean.

The (1 - <em>α</em>)% confidence interval for population parameter implies that there is a (1 - <em>α</em>) probability that the true value of the parameter is included in the interval.

Or, the (1 - <em>α</em>)% confidence interval for the parameter implies that there is (1 - <em>α</em>)% confidence or certainty that the true parameter value is contained in the interval.

The 95% confidence interval for the mean number of chocolate chips per cookie is (18.6, 21.3).

This 95% confidence interval implies that there is a 0.95 probability that the true mean number of chocolate chips per cookie is between 18.6 and 21.3.

Thus, the correct option is:

"We are 95% certain that the confidence interval of 18.6 to 21.3 includes the true average number of chocolate chips per cookie. "

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