Answer: 3 people ordered soup.
Step-by-step explanation:
Let x be the number of people ordered salad and y be the number of people ordered soup.
As per given,
x=2y (i)
7.50x+6.25y= 63.75 (ii)
Substitute value of c =2y in (ii) , we get
7.50(2y)+6.25y= 63.75
⇒ 15y+6.25y = 63.75
⇒21.25y = 63.75
⇒ y= 3 [divide both sides by 21.25]
Then, x= 2(3) =6
So 6 people ordered salad and 3 people ordered soup.
Answer:
C
Step-by-step explanation:
Two pyramids are similar. It means that their side lengths are proportional.
So, let's see the proportionality constant from SMALL PYRAMID to LARGE PYRAMID.
The corresponding length of 8 in small pyramid is 24 in large pyramid. We ask ourself: "8 times WHAT gives us 24?"
This is the proportionality constant (aka "k").
So, 8 times "3" is 24. So the proportionality constant is "3".
k = 3
Now, the height of small pyramid is 6 and height of large pyramid is "x". These sides will be same way proportional. So, we can say:
6 times the proportionality constant (3) would give us x
So,
6 * 3 = x
x = 18
Correct answer is C
140 I believe because you subtract 40 from 180 since the two angles equal 180
Answer: See the diagram below
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Explanation:
She starts off finding the mean of the data. So she adds up the values to get 48+54+57+62+69 = 290, and then divides by 5 to get the mean of 290/5 = 58. That explains why there's a 58 in the first row of the second column.
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For the next step, she subtracts 58 from each data item. If the result is negative, then go with the positive version (ie apply the absolute value)
- |48-58| = 10
- |54-58| = 4
- |57-58| = 1
- |62-58| = 4
- |69-58| = 11
This leads to the list 10,4,1,4,11 which goes in the first slot labeled "drag and drop an item here". This is the list of distance values each item is from the mean.
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The last thing to do is find the mean of the set {10,4,1,4,11}
add: 10+4+1+4+11 = 30
divide by five: 30/5 = 6
The mean absolute deviation (MAD) is 6
This represents the average distance each data value is from the mean. The MAD tells us how spread out the data is. It's similar to the standard deviation.