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Natali [406]
2 years ago
11

Find the conjugate and product of i3 + i7 ​

Mathematics
1 answer:
abruzzese [7]2 years ago
5 0

Answer:

  • Complex conjugate: 2i
  • Product: -2i

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The perimeter of a rectangular painting is 324 centimeters. if the width of the painting is 67 centimeters, what is its length?
Nina [5.8K]
I hope this helps you



Perimeter =2 (width +length )


324=2 (67+length )


162-67=length


length =95
6 0
3 years ago
A company has 50 employees all working in the same building.
balandron [24]
Yes it did because 90% of fifty is 45 (50 divided by 10 x 5) and the graph shows that 46 employees left the building within a minute
6 0
3 years ago
Need some help with multiplying algebraic fractions
Nezavi [6.7K]

Answer:

a=10, b=5, c=2, d=12

Step-by-step explanation:

Multiply each variable together

5*2=10

8*3=24

10x^{3}y^{2}/24x

the coefficients (numbers) can each be divided by 2

5x^{3} y^{2}/12x

subtract the "x" exponents together

5x^{2} y^{2}/12

8 0
3 years ago
Monica's school band held a car wash to raise money for
Ksivusya [100]

Answer:

1 is 50 and 2 is 75

Step-by-step explanation:

i did the work

3 0
3 years ago
Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation o
hjlf

Answer:

46.18% of the items will weigh between 6.4 and 8.9 ounces.

Step-by-step explanation:

We are given that the weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces.

<em>Let X =  weight of items produced by a machine</em>

The z-score probability distribution for is given by;

                Z = \frac{  X -\mu}{\sigma}  ~ N(0,1)

where, \mu = mean weight = 8 ounces

            \sigma = standard deviation = 2 ounces

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, percentage of items that will weigh between 6.4 and 8.9 ounces is given by = P(6.4 < X < 8.9) = P(X < 8.9 ounces) - P(X \leq 6.4 ounces)

   P(X < 8.9) = P( \frac{  X -\mu}{\sigma} < \frac{  8.9-8}{2} ) = P(Z < 0.45) = 0.67364  {using z table}

   P(X \leq 70) = P( \frac{  X -\mu}{\sigma} \leq \frac{  6.4-8}{2} ) = P(Z \leq -0.80) = 1 - P(Z < 0.80)

                                                 = 1 - 0.78814 = 0.21186

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 0.45 and x = 0.80 in the z table which has an area of </em>0.67364<em> and </em>0.78814<em> respectively.</em>

Therefore, P(6.4 < X < 8.9) = 0.67364 - 0.21186 = 0.4618 or 46.18%

<em>Hence, 46.18% of the items will weigh between 6.4 and 8.9 ounces.</em>

8 0
3 years ago
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