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Darina [25.2K]
3 years ago
8

Which of the following is a complex number?

Mathematics
1 answer:
daser333 [38]3 years ago
5 0

Answer:

C.3 \sqrt{ \frac{7}{5} }  +  \sqrt{ -  \frac{9}{5} }

Step-by-step explanation:

Recall that:

\sqrt{ - 1}  = i

For this particular question, you just have to look for the radical containing a negative sign under the square root i.e a negative radicand.

That will be option C.

This is given as

3 \sqrt{ \frac{7}{5} }  +  \sqrt{ -  \frac{9}{5} }

This can be rewritten to reveal the complex part as:

3 \sqrt{ \frac{7}{5} }  +  \sqrt{ \frac{9}{5} }i

Therefore the correct answer us option C

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2m-n / 3mn

Step-by-step explanation:

  1. combine the fractions by finding a common denominator
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Demetrious returned five library books last week, returned three books this week, then checked out 8 more books. He now has 12 l
Zanzabum

Answer:The number of books that he had before last week is 28

Step-by-step explanation:

Let x represent the number of books that he had before last week.

Demetrious returned five library books last week. This means that the number of books left is x - 5

He returned three books this week. This means that the amount of books left is x - 5 - 3 = x - 8

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6 0
3 years ago
All of the following are rational numbers except ____
Lelu [443]

Answer:

D. 3.14159...

Step-by-step explanation:

A repeating decimal Is not a rational number

3 0
3 years ago
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db; which is to say, this may not b
WINSTONCH [101]

Answer:

<em>(a) A 99% confidence interval for the actual mean noise level in hospitals is </em><em>(44.02 db, 49.98 db)</em><em>. </em>

<em>(b) We can be 90% confident that the actual mean noise level in hospitals is </em><em>47 db</em><em> with a margin of error of </em><em>1.89 db</em><em>. </em>

<em>(c) Unless our sample (of 81 hospitals) is among the most unusual 2% of samples, the actual mean noise level in hospitals is between </em><em>44.41 db and 49.59 db</em><em>. </em>

<em />

Step-by-step explanation:

<em>The problem is incomplete. The questions are:</em>

<em />

<em>(a) A 99% confidence interval for the actual mean noise level in hospitals is </em><em>(44.02 db, 49.98 db)</em><em>. </em>

For a 99% CI, the value of z is z=2.58

Then, the confidence interval for the mean is:

M-z\sigma/\sqrt{n}\leq\mu\leq M-z\sigma/\sqrt{n}\\\\47-2.58*10/\sqrt{75}  \leq\mu\leq47+2.58*10/\sqrt{75}\\\\47-2.98\leq\mu\leq47+2.98\\\\44.02\leq\mu\leq 49.98

<em>(b) We can be 90% confident that the actual mean noise level in hospitals is </em><em>47 db</em><em> with a margin of error of </em><em>1.89 db</em><em>. </em>

For a 90% CI, the value of z is z=1.64.

Then, we can calculate the margin of error as:

E=z*\sigma/\sqrt{n}=1.64*10/\sqrt{75}=1.89

<em>(c) Unless our sample (of 81 hospitals) is among the most unusual 2% of samples, the actual mean noise level in hospitals is between </em><em>44.41 db and 49.59 db</em><em>. </em>

The 2% tails data corresponds, in the standard normal distirbution, to the values of z whose absolute value is higher than 2.33.

The values of db for these critical values are:

X_1=M+z_1*\sigma/\sqrt{n}=47+(-2.33)*10/\sqrt{81}=47-2.59=44.41\\\\\\ X_2=M+z_2*\sigma/\sqrt{n}=47+(2.33)*10/\sqrt{81}=47+2.59=49.59

3 0
4 years ago
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