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12345 [234]
3 years ago
12

How many times can 90 go into 518

Mathematics
1 answer:
seropon [69]3 years ago
5 0

Answer:

5.75

Step-by-step explanation:

hope this helps :)

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Can I get some help we just started this today
Alja [10]

Answer:

-2

Step-by-step explanation:

The slope of a line tells us how y responds to a change in x.  If the slope is 2, it means that for every time x increases by 1, will will go up by 2.

We can calculate slope from a line, or with two given points.  I used points (0,4) and (3,-2).  Slope is the "Rise/Run."

The Rise:  (-2 - 4) = -6

The Run:  (3 - 0) = 3

Slope = Rise/Run = (-6/3) = -2

6 0
3 years ago
What's the answer to #3-6?
spayn [35]
U simply add all  the six numbers and divide by it . when you add all the test scores you get 407.6 . Next you divide that by 6 since there were 6 tests taken and the test avg is 81.46 which falls under b category for grades provided from
 the table
6 0
4 years ago
Read 2 more answers
What is 10000000000000000000000000000000000000 plus 1000000000000000000000000000000000000000000-235
Alchen [17]

Answer:

10000010000000000000000000000000000000000875

Step-by-step explanation:

i think this is right

8 0
3 years ago
Read 2 more answers
The digram shows a triangle
Anna71 [15]

Answer:

<h2>30 cm²</h2>

Step-by-step explanation:

  • Area of triangle = 1/2 (base × height)

1/2(12*5)=

1/2*60=

30 cm²

3 0
1 year ago
On a 10 item test, three students in prof. miller's advanced chemistry seminar received scores of two, five, and eight, respecti
Svet_ta [14]
Your set is 2, 5 and 8.

In order to calculate the standard deviation, first, you need to calculate the mean of the scores:
m = (2 + 5 + 8) / 3
    = 15 / 3
    = 5

Then, find the variance: subtract the mean from each value, square the results, sum them up and divide it by the number of scores.
(2 - 5)² = 9
(5 - 5)² = 0
(8 - 5)² = 9
Therefore:
v = (9 + 0 + 9) / 3 
   = 18 / 3
   = 6

The standard deviation is the square root of the variance:
σ = √6 
   = 2.45

In conclusion, the standard deviation can be calculated by the formula:
\sigma =  \sqrt{ \frac{\sum(v - m)^{2} }{n} }

6 0
3 years ago
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