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3 years ago

MAX POINTS!!!! Please help me solve the problem in the picture and tell me what I’m doing also explain each step.

Mathematics

2 answers:

lapo4ka [179]3 years ago

5 0

Answer: j=0.4

-j+0.8=-0.9j+0.76

-j+0.8+0.9j=-0.9+0.76+0.9j

-0.1j+0.8=0.76

-0.1+0.8-0.8=0.76-0.8

-0.1j=-0.04

-0.1j/-0.1=-0.04/-0.1

j=0.4

Ya have a good day.

algol133 years ago

3 0

Answer 0.4
Regroup terms: 0.8 - j= -0.9j + 0.76
Add j to both sides: 0.8 = -0.9j + 0.76+j
Simply : 0.8=0.1×j+0.76
Subtract: 0.76 from both sides 0.8-0.76=0.1x j
Simplify 0.8−0.76 to 0.04: 0.04= 0.1×j
Divide both sides by 0.1: 0.04/0.1=j
Simply 0.04/0.1 to 0.4: 0.4 =j
Switch sides: j= 0.4

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Help don’t understand

marusya05 [52]

Answer:

f(-14) = -6

f(-4) = 6

f(12) = 6

f(0) = -3

negative

Step-by-step explanation:

f(-14) = -6

This is because when x is -14, y is -6, as seen in the graph

f(-4) = 6

This is because when x is -4, y is 6, as seen in the graph

f(12) = 6

This is because when x is 12, y is 6, as seen in the graph

f(0) = -3

This is because when x is 0, y is -3, as seen in the graph

is f(4) positive or negative?
negative

This is because when x is 4, y is -6, as seen in the graph

6 0

2 years ago

If you had 3.5 gallons of gas, how far could you travel?

Nostrana [21]

Answer:

It would depend on how many miles per gallon your car gets

Step-by-step explanation:

As a general rule, most cars have about 2.5 gallons left in the tank when the gas light comes on. So depending on how many miles you get per gallon, you can probably go anywhere between 30-60 miles.

5 0

3 years ago

In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes

ale4655 [162]

Answer:

The sample mean is $\bar{x}=14.371$ min.

The sample standard deviation is $\sigma = 18.889$ min.

Step-by-step explanation:

We have the following data set:

$\begin{array}{cccccccc}0.15&0.82&0.81&1.44&2.70&3.28&4.00&4.70\\4.96&6.49&7.25&8.03&8.40&12.15&31.89&32.47\\33.79&36.80&72.92&&&&&\end{array}$

The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values.

The formula for the mean of a sample is

$\bar{x} = \frac{{\sum}x}{n}$

where, $n$ is the number of values in the data set.

$\bar{x}=\frac{0.15+0.82+0.81+1.44+2.7+3.28+4+4.7+4.96+6.49+7.25+8.03+8.4+12.15+31.89+32.47+33.79+36.80+72.92}{19}\\\\\bar{x}=14.371$

The standard deviation measures how close the set of data is to the mean value of the data set. If data set have high standard deviation than the values are spread out very much. If data set have small standard deviation the data points are very close to the mean.

To find standard deviation we use the following formula

$\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }$