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1 year ago

I need help with question

Mathematics

1 answer:

Licemer1 [7]1 year ago

6 0

Answer

square root of 128 Lies between two square numbe

121 = 11 ^ 2

(11.1) ^ 2 = 133.1

So, √128 lies between 11.0 and 11.1.

<h3>Option A: 11.0 and 11.1 </h3>

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Multiple answer problem

stealth61 [152]

$\quad \huge \quad \quad \boxed{ \tt \:Answer }$

$\qquad \tt \rightarrow \: E.\:\: \overline{DC}$

$\qquad \tt \rightarrow \: F.\:\:\overline{CD}$

____________________________________

$\large \tt Solution \: :$

A line with two dots at ends (two ends) represents a line segment.

And it can be represented as :

$\qquad \tt \rightarrow \: \overline{DC}$

$\qquad \tt \rightarrow \: \overline{CD}$

Answered by : ❝ AǫᴜᴀWɪᴢ ❞

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2 years ago

If your annual pay is $36,010, what is your biweekly pay based on 26 biweekly paychecks?

Anuta_ua [19.1K]

To get your bi weekly pay you would divide $36,010 by 26, seeing as bi weekly means you get payed every other week.
36,010 / 26 = $1,385
I hope this helps :)

4 0

4 years ago

Can anybody answer these please hurry

masya89 [10]

Hopes this helps:

You can just download this app that I use when I need help on a problem it it called Cymath.

6 0

3 years ago

A researcher studying reaction time of drivers states that, "A 95% confidence interval for the mean time (8.1) it takes for a dr

Sergio039 [100]

Answer:

For this case we know that the confidence interval is given by (1.2 , 1.8) and the point of estimate for $\mu$ would be:

$\bar X = \frac{1.2+1.8}{2}= 1.5$

And the margin of error is given by:

$ME = \frac{1.8-1.2}{2}= 0.3$

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

$\bar X$ represent the sample mean for the sample