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soldier1979 [14.2K]
3 years ago
6

Help please!! Serious answers only | multiple choice

Mathematics
1 answer:
Zarrin [17]3 years ago
6 0
The option A is the right answer
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What is 3+√-3 in the form a+bi?
Artyom0805 [142]

Answer:

3+i×root 3

Step-by-step explanation:

need thanks and make me brainiest if it helps you

7 0
3 years ago
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F(x) = x^2<br> f(x)+f(x)+f(x)
Scilla [17]

Answer:

3x²

Step-by-step explanation:

f(x) + f(x) + f(x) = x² + x² + x² = 3x²

6 0
4 years ago
the ratio of boys and girls in class is 3:2 Tthere are 15 boys how many total of boys and girls are in class
balandron [24]

Answer: 15 boys and 10 girls

Step-by-step explanation:

15/3=5, so the you have to multiply 2 by 5 to get the number of girls. 2x5=10, so to get the total number of students you add 15+10 which gets you 25 students, but if it’s just asking for girls, then it’s 10.

3 0
3 years ago
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The average student loan debt for college graduates is $25,150.
Aleks04 [339]

Using the normal distribution, it is found that:

a) X \approx N(25150, 12050)

b) There is a 0.5859 = 58.59% probability that the college graduate has between $14,200 and $33,950 in student loan debt.

c) Low: $23,519.65, High: $26,580.35.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 25150, \sigma = 12050.

Hence the distribution of X can be described as follows:

X \approx N(25150, 12050)

The probability that the college graduate has between $14,200 and $33,950 in student loan debt is the <u>p-value of Z when X = 33950 subtracted by the p-value of Z when X = 14200</u>, hence:

X = 33950:

Z = \frac{X - \mu}{\sigma}

Z = \frac{33950 - 25150}{12050}

Z = 0.73

Z = 0.73 has a p-value of 0.7673.

X = 14200:

Z = \frac{X - \mu}{\sigma}

Z = \frac{14200 - 25150}{12050}

Z = -0.91

Z = -0.91 has a p-value of 0.1814.

0.7673 - 0.1814 = 0.5859.

There is a 0.5859 = 58.59% probability that the college graduate has between $14,200 and $33,950 in student loan debt.

Considering the symmetry of the normal distribution, the middle 10% is between the 45th percentile(X when Z = -0.127) and the 55th percentile(X when Z = 0.127), hence:

Z = \frac{X - \mu}{\sigma}

-0.127 = \frac{X - 25150}{12050}

X - 25150 = -0.127(12050)

X = $23,519.65.

Z = \frac{X - \mu}{\sigma}

0.127 = \frac{X - 25150}{12050}

X - 25150 = 0.127(12050)

X = $26,580.35.

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

5 0
2 years ago
Please help if you can i really need it
Mila [183]

Answer:

9

Step-by-step explanation:

60 requests are made.

Spencer gets 25% of these requests. Convert this to a decmal (divide by 100) to get 0.25. 25% of 60 is:

(0.25)(60)=15\\

So Spencer gets 15 requests. Now do the same process for Tanvi:

(0.10)(60)=6

So Tanvi gets 6 requests. To find out how many more requests Spencer gets compared to Tanvi:

15-6=9

Therefore, Spencer gets 9 more requests than Tanvi.

4 0
3 years ago
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