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3 years ago

3.14•8.7•8.7•14.7 Round to the nearest hundreds

Mathematics

1 answer:

Trava [24]3 years ago

5 0

Answer:

3493.70

Step-by-step explanation:

if you multipy all these in a calculator you get a long number, look at the third digit behind the decimal, if its 5+ then make the second digit behind the decimal one number higher. If its 4 or under than keep the number the same. To round, cut off all the digits behind the second digit thats past the secimal

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Micah's gym is moving into a bigger space, where he can have more stationary bicycles and treadmills. Micah needs both stationar

marin [14]

Answer:

Options (2), (3), (5) and (6)

Step-by-step explanation:

Let the number of bicycles = x

and the number of treadmills = y

Since, number of new bicycles must be more than $\frac{1}{3}$ times of new treadmills,

Inequality representing the statement will be,

x > $\frac{1}{3}$ y

Each bicycle costs $340 and each treadmill costs $670.He must spend less than $5650,

Inequality will be,

340x + 670y < 5650

And the number of bicycles and treadmills should be greater than 0.

x > 0

y > 0

Therefore, constraints for this situation are,

Option (2)

Option (3)

Option (5)

Option (6)

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2 years ago

What is the best description of the data in the histogram?

kenny6666 [7]

Answer:

A histogram is only used to plot the frequency of score occurrences in a continuous data set

Step-by-step explanation:

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3 years ago

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Find the difference between 760 and 188

topjm [15]

Answer:

572

Step-by-step explanation:

Work :

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2 years ago

A researcher at a large company has collected data on both the beginning salary and the current salary of 48 randomly selected e

Nadya [2.5K]

Answer:

a. 0.83

b. 44107.3

c. 2252.7

Step-by-step explanation:

The correlation coefficient is calculated as

byx=rSy/Sx

rSy=byx*Sx

⇒r=byx*Sx/Sy

Sy=standard deviation of y=standard deviation of current salary=15300

Sx=standard deviation of x=standard deviation of beginning salary=5970

byx=2.12

r=2.12*5970/15300

r=12656.4/15300

r=0.83

There is a strong positive correlation between current and beginning salary.

Beginning salary=$22000

y^ =−2532.7 + 2.12x.

Current salary=-2532.7+2.12*beginning salary

Current salary=-2532.7+2.12*22000

Current salary=-2532.7+46640

Current salary=$44107.3

The predicted current salary of Mr. Joseph Keller is $44107.3.

Residual=y-y^=Observed-Predicted

Observed Current Salary of Kathy Jones=40000

Beginning salary of Kathy Jones=19000

y^ =−2532.7 + 2.12x.

Predicted Current salary=-2532.7+2.12*beginning salary

Predicted Current salary=-2532.7+2.12*19000

Predicted Current salary=-2532.7+40280

Predicted Current salary=$37747.3

Residual=Observed Current Salary-Predicted Current salary

Residual=40000-27747.3

Residual=$2252.7

The residual for Ms. Jones is $2252.7.

8 0

3 years ago

What is the function of the graph below

Elina [12.6K]

(4,2) is the answer i think

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2 years ago