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Anuta_ua [19.1K]
3 years ago
6

9. Explain how to graph information from the table. ASAPPPP!!!!!

Mathematics
1 answer:
Volgvan3 years ago
6 0
Good morning Mr. William I wanted to ask you if it is still possible to change an elective class
You might be interested in
Pls help it isn't hard I'm just having trouble.
NikAS [45]

Answer:According to my calculations, an item with an original price tag of $54.50 that is marked down by 20% will have a sales price of $43.60 -- a savings of $10.90.

If you include the sales tax savings ($0.82 ) your total savings would add up to $11.72.

Step-by-step explanation:

3 0
3 years ago
Will mark brainliest and rate 5/5 if answered right.
Alla [95]

Answer:

a. s^2 - \frac{1}{4}s^2\pi

b. 100-25\pi

Step-by-step explanation:

The shaded area is the area of the square minus the area of the circle, so it is s^2 - \frac{1}{4}s^2\pi, because s is the diameter of the circle. Filling in s = 10 gives us that the shaded area equals 100-25\pi.

5 0
3 years ago
the amount of money that sue had in pension fund at the end of 2016 was £63000. her plans involve her putting £412 per month in
Ganezh [65]

Answer:

the pension fund will be £285480

Step-by-step explanation:

her plans = £412 per month till 18 years ( 2034 )

so, 18 years to months

= 18 × 30

= 540 months

£412 × 540

= £222480

you must add it up with the amount at the end of 2016 which is :-

£63000 + £222480

= £285480

you're welcome ^o^

6 0
3 years ago
Solve the inequality 4x-7 less than 5
Alik [6]

Answer: X is less than 3

Step-by-step explanation:

4x - 7 < 5

Add 7 to both sides:

4x < 12

Divide both sides by 4:

x < 3

7 0
2 years ago
Read 2 more answers
Which of the following statement is true about k-NN algorithm?
BaLLatris [955]

The answer is D. All of the above.

The computational complexity of K-NN increases as the size of the training data set increase and the algorithm gets significantly slower as the number of examples and independent variables increase.

Also, K-NN is a non-parametric machine learning algorithm and as such makes no assumption about the functional form of the problem at hand.

The algorithm works better with data  of the same scale, hence normalizing the data prior to applying the algorithm is recommended.

6 0
4 years ago
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