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Archy [21]
3 years ago
14

write an expression for the sequence of operations described below. add s to t, add the result to r, then raise what you have to

the 7th power​
Mathematics
1 answer:
Kobotan [32]3 years ago
6 0

Answer:

(s+t+r)^7

Step-by-step explanation:

<u>Sequential Operations </u>

Mathematical operations can be done in sequence or in batches if they are of the same type. For example, we can add many terms in one single operation, but we cannot add and multiply in one go, because there are priorities when dealing with products and sums. Same happens with powers.

In our problem we are required to perform a sequence of operations like follows

Add s to t:

s+t

Add the result to r

s+t+r

Raise what you have to the 7th power

\boxed{(s+t+r)^7}

This is the final result

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zimovet [89]

Answer:

<h2>The son is 10 Mary is 28</h2>

Step-by-step explanation:

I hope dis helps

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3 years ago
130 inches, 4 yards, or 10 feet shortest to longest
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6 0
2 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.

6 0
3 years ago
Sora was given two data sets, one without an outlier and one with an outlier. Data without an outlier: 108, 113, 105, 118, 124,
gladu [14]

The outlier (61) is at the low end of the data set, but doesn't affect the mean by a lot, so ...

The mean is centered among the other numbers in both sets of data.

_____

The mean without the outlier is 114. With the outlier, it is 107.4. The lower quartile is 108, so the mean does get moved outside the "box" of the box-and-whisker plot of the data set without the outlier.

8 0
3 years ago
Read 2 more answers
What is the value of the expression below when w = 5?<br> 2w2 – 2w + 3
bagirrra123 [75]

Answer:

I got you

Step-by-step explanation:

2 time 5 times 2 is 20. This minus 2 times 5 is 10 plus 3 is 13.

5 0
3 years ago
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