Complete the table for the given rule.rule: y=x-4x:? y:6 0 4

Mathematics

1 answer:

Triss [41]2 years ago

3 0

Answer:

10, 4, 8

Step-by-step explanation:

10 - 4 = 6

4 - 4 = 0

8 - 4 = 4

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The population of a once very popular city of 250,000 people has been decreasing by 3.5% each year. Write an exponential decay f

vladimir2022 [97]

Y= 250000-8750t

3.5 percent of 250000 is 8750, if that’s the amount decreasing each (t) years, you multiply that number by number of years taken into account.

8 0

2 years ago

A traffic helicopter descends 114 meters to be 454 meters above ground, as illustrated in the diagram to the right. Write an equ

loris [4]

Answer:

H = h + x

h = 568 meters

Step-by-step explanation:

The helicopter descends 114 meters to be 454 meters above the ground.

Therefore, the equation which describes this situation using h as the original height will be given by

H = h + x ....... (1)

Where H is the final height from the ground and x is the height that the helicopter ascends(Positive sign) or descends(Negative sign). (Answer)

Here, in our case, H = 454 meters and x = -114 meters.

Therefore, the original height of the helicopter from ground will be

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3 years ago

What is true of the coefficient of variation?

DedPeter [7]

Answer:

A. The coefficient of variation is best used when comparing two data sets that use the same units of measure.

Step-by-step explanation:

The coefficient of variation (CV), is simply the standard deviation (itself a measure of variance or variation) relative to the mean of a distribution.

The coefficient of variation expresses a random variable’s variability in percentage terms. Therefore it is possible, through the coefficient of variation, to compare the variability of data across different samples, especially if the random variables are recorded in different units of measurement (such as cm, kg and minutes).

A coefficient of variation is always interpreted as a percentage. <u>Mathematical representation is:</u>

$Coefficient\ of\ variation\ = \frac{Standard\ deviation}{Mean}\ \%$