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Reil [10]
3 years ago
5

What is the radius of a sphere that has a surface area of 12.56

Mathematics
1 answer:
DerKrebs [107]3 years ago
4 0
The radius of a sphere that has the surface area of 12.56 is r ≈1
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Pls help thx!!!!!!!!!
Scilla [17]

Answer:

20

Step-by-step explanation:

(3x + 50) \degree = (6x  - 10) \degree .. (vertical \:\angle s) \\ 3x + 50 = 6x - 10 \\ 3x - 6x =   - 10 - 50 \\   - 3x =  - 60 \\ x =  \frac{ - 60}{ - 3}  \\  \huge \red{x = 20}

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3 years ago
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What is the modulus of 6 + 7i?
lions [1.4K]
\sqrt{6^2+7^2}=\sqrt{85}
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4 years ago
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A grocery store sells snacks by weight 6 ounce bag of mixed nuts cost $3.60 predict the cost of two ounce bag
VARVARA [1.3K]

Answer:

1.20

Step-by-step explanation:

you divide the orginal cost by 3

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3 years ago
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Penelope buys bracelets in bulk at a cost of $8 each to sell at her store. She uses a markup of 125%, which is added to the brac
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The correct answer is A. $18

8 x 125% or 8 x 1.25 = 10

Add $10 to $8 and you get $18
3 0
3 years ago
If a time series plot exhibits a horizontal pattern, then
gogolik [260]

Answer: C. there is still not enough evidence to conclude that the time series is stationary.

Step-by-step explanation: First thing to note for a time series plot is that it is required to select a suitable forecast method for the data set being considered.

A stationary time series means that the process generating the data set has a constant mean and the variations are constant over time. This means all evidence is present leading to the conclusion that the entire time series is stationary. A stationary time series thus exhibits an horizontal pattern which enables an appropriate forecast method to be selected for this type of pattern.

A horizontal pattern of a time series plot indicates that a data set fluctuates around a constant mean for a period of time. This period of time may however not be the entire time of the time series or take the entire data set into consideration and might just be a reflection of a portion of the time series hence why it can not be explicitly considered to be stationary. This means that a horizontal pattern can change into a seasonal or trending pattern if more variables/data are added over time.

For instance, a manufacturer sells a certain amount of products over a 10 week period and the resulting pattern of a time series plot is horizontal, then from the 11th week to the 15th week he gets a sharp and continuous increase in sales. This change in level will therefore change the time series plot from horizontal to trending making it more difficult to select a suitable forecast method.

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3 years ago
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