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gulaghasi [49]
3 years ago
7

Year (X) =2000 2001 2002 2003 2004

Mathematics
2 answers:
lys-0071 [83]3 years ago
8 0
Here we are going to use the equation y=15x2+3x+56.
x=0 in 2,000 so x=10 in 2010. 
Substitute 10 for x.
After this we have the answer: D. $1,586
FromTheMoon [43]3 years ago
4 0

<u>Answer-</u>

The best-fit quadratic equation is  y=14.9786x^2+3.1057x+56.2771 and the game cost in 2010 will be $1586

<u>Solution-</u>

Plotting a table taking year as input variable and cost as output variable.

X= year - 2000    

Y= cost in dollar.

Quadratic equation formula,

y=ax^2+bx+c

a=\frac{(\sum x^2y\sum xx)-(\sum xy\sum xx^2)}{(\sum xx\sum x^2x^2)-({\sum xx^2)}^2}

b=\frac{(\sum xy\sum x^2x^2)-(\sum x^2y\sum xx^2)}{(\sum xx\sum x^2x^2)-({\sum xx^2)}^2}

c=\frac{\sum y}{n}-b\frac{\sum x}{n}-a\frac{\sum x^2}{n}

Where,


\sum xx=\sum x^2-\frac{(\sum x)^2}{n}

\sum xy=\sum xy-\frac{\sum x\sum y}{n}

\sum xx^2=\sum x^3-\frac{\sum x\sum x^2}{n}

\sum x^2y=\sum x^2y-\frac{\sum x^2\sum y}{n}

\sum x^2x^2=\sum x^4-\frac{(\sum x^2)^2}{n}

Putting the values, we get

a=14.9786,b=3.1057,c=56.2771

Putting these in the quadratic equation,

y=14.9786x^2+3.1057x+56.2771

In order to  get the cost of game in 2010, we can put x=10 to get the value of y or the cost of game.

y(10)=14.9786(10)^2+3.1057(10)+56.2771=1585.1941 \approx 1586


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The lifetime of a certain type of battery is normally distributed with mean value 10 hours and standard deviation 1 hour. There
Oksi-84 [34.3K]

Answer:

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And if we solve for a we got;

10 +1.64*1=11.64

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Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

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Let X the random variable that represent certain lifetime of a population, and for this case we know the distribution for X is given by:

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For this part we want to find a value a, such that we satisfy this condition:

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P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.95 of the area on the left and 0.05 of the area on the right it's z=1.64. On this case P(Z<1.64)=0.95 and P(z>1.64)=0.05

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P(z

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z=1.64

And if we solve for a we got;

10 +1.64*1=11.64

So the value of height that separates the bottom 95% of data from the top 5% is 11.64  

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