MATHEMATICS HIGH SCHOOL

Suppose the auction house from the preceding problem sold 200 tickets at $1 each, and had 16 prizes of $10 each. What is the new expected value?A) $0
B) $0.2
C) –$0.2
D) $0.8

Answers

Answer 1
Answer:

The new expected value is $0.8 if the auction house sold 200 tickets at $1 and had 16 prizes of $10 each.

What is expected value?

It is value which is calculated in the present but expect to come in future also.

How to calculate the expected value?

The expectedvalue will be calculated as under:

Value on 16 prizes=200/160=1.25

Expected value will be =(200+160)/1.25/160

=200.8

So the value expected will be $0.8.

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Answer 2
Answer: 200/160=1.25

200+160=360/1.25/160=200.8

so your answer is 0.8

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There are 18 bikes in the rack. There are 4 more blue bikes than yellow bikes and 2 less yellow bikes than green bikes. How many bikes of each color are in the rack? How do you figure out the problem?

Answers

Their will be the following:

Blue Bikes - 8
Green Bikes - 6
Yellow Bikes - 4

Unfortunately i figured out this problem in my head with guess work.

Hope this has helped in anyway.

Estimate the solution of the equation x - 8.1=5.3 to the nearest whole number

Answers

Answer is about 13. i hope this helps.

What multiplies to -160 and adds to 6

Answers

Hello,
These 3 numbers have a product of -160 and a sum of 6

8,-1+√21 and -1-√21.
The answer: -10×16=-160, -10+16=6, so the numbers are (-10,16).

An equation was created for the line of best fit from the actual enrollment data. It was used to predict the dance studio enrollment values shown in the table below:Enrollment Month
January February March April May June
Acutal 120 140 150 140 150 130
Predicted 80 150 110 150 110 150
Residual 40 −10 40 −10 40 −20


Analyze the data. Determine whether the equation that produced the predicted values represents a good line of best fit.
No, the equation is not a good fit because the residuals are all far from zero.
No, the equation is not a good fit because the sum of the residuals is a large number.
Yes, the equation is a good fit because the residuals are not all far from zero.
Yes, the equation is a good fit because the sum of the residuals is a small number.

Answers

The right answer for the question that is being asked and shown above is that: "No, the equation is not a good fit because the sum of the residuals is a large number." Determine whether the equation that produced the predicted values represents a good line of best fit.

The equation that produced these predicted values is not a good fit given that the sum of the residuals is a large number.

What is the sum of the residuals in a regression equation?

The sum of the residuals in a regression is a value that is always supposed to be almost equal to zero in a regression analysis.

The residual tells us that the error term has been reduced to the minimum in the regression analysis.

Read more on a regression analysis here:

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Simplify the expression (2x + 3y) + yusing the properties of operations. Show
your work.

Answers

(2x + 3y) + y

2x + 4y

The x and y cannot be combined but the y can be added to the 3y. If you ever have a letter that had no number in from of it it just means it’s 1. No need to put it like 1y because some teachers count it wrong. So just keep it as the single letter. Hope this helps good luck!

Please nobody falsely answer this im very low on points i just need help please!!

Answers

You should just have to multiply each coordinate by the scale factor, giving
F’ (1.5,1.25)
G’ (2.5,0.25)
H’ (0.5,0.25)

Answer:

The first option

Step-by-step explanation:

The coordinates of each point divided by 4 matched up with the ones on that answer so it's the first one. it's proportional so I think that's it.

Hope this helped QwQ
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