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bija089 [108]
3 years ago
7

Consider a circular dart board with radius one. I throw a dart at the board and record the (X,Y) position (note that the dart wi

ll land in the board, and (X,Y) are uniformly distributed on the board). 1. Find the marginal distribution of X
Mathematics
1 answer:
dybincka [34]3 years ago
7 0

Answer:

f_X (x) = \frac{2\sqrt[]{1-x^2}}{\pi}

Step-by-step explanation:

Let R be the region the dart board. Hence, the region is described by the following inequality[/tex] R=\{(x,y): x^2+y^2 \leq 1\}[/tex]. We want to find the joint density function for (X,Y). We are given that this points are uniformly distributed, hence, the joint function is related to the area of the region. Hence,

f_{X,Y)(x,y) = \frac{1}{\pi}. Note that this function integrates up to one on the region R.

\int_{R} f_{X,Y) dA = \frac{1}{\pi}\int_R 1 dA = \frac{\text{ area of R}{\pi} = \frac{\pi}{\pi}. (The area of R is pi given that it is a circle of radius 1.

Recall that the marginal distribution of X has the following pdf

f_X (x) = \int_{y} f_{X,Y}(x,y) dy. That is, fixing one value of x an integrating over the whole range of the variable Y.

Let w= \sqrt[]{1-x^2}. Then, this w represents the value of y on the boundaries of the region R. Then,

f_X (x) = \int_{-w}^{w} \frac{1}{\pi} dy = \frac{2w}{\pi} = \frac{2\sqrt[]{1-x^2}}{\pi}. This is because, when we fix a value of X, we are integrating over a vertical line in the board, so Y goes from the bottom boundary of the circle and the upper boundary of the circle, whose points are described by our variable w.

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2 Probability and Stats questions!!
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 1) To find the confidence interval 
the sample mean x = 38     σ = 9; n = 85;
The confidence level is 95% (CL = 0.95) <span>CL = 0.95
so α = 1 – CL = 0.05   
</span><span>α/2 = 0.025   </span>Z(α/2) = z0.025  
The area to the right of Z0.025 is 0.025 and the area to the left of Z0.025 is 1 – 0.025 = 0.975
Z(α/2) = z0.025 = 1.645 This can be found using a computer, or using a probability table for the standard normal distribution.
<span>EBM = (1.645)*(9)/(85^0.5)=1.6058</span> x - EBM = 38 – 1.6058 = 36.3941 <span> x + EBM = 38 + 1.6058 = 39.6058
</span>The 95% confidence interval is (36.3941, 39.6058).
The answer is the letter D
<span>The value of 40.2 is <span>within the 95% confidence interval for the mean of the sample

</span></span>2) To find the confidence interval  <span>
<span>the sample mean x = </span>76     σ = 20; n = 102; </span><span>
The confidence level is 95% (CL = 0.95) CL = 0.95 
so α = 1 – CL = 0.05   
α/2 = 0.025   Z(α/2) = z0.025 
The area to the right of Z0.025 is 0.025 and the area to the left of Z0.025 is 1 – 0.025 = 0.975 
Z(α/2) = z0.025 = 1.645 This can be found using a computer, or using a probability table for the standard normal distribution.
EBM = (1.645)*(20)/(102^0.5)=3.2575 x - EBM = 76 – 3.2575 = 72.7424 </span>  x + EBM = 76 + 3.2575 = 79.2575 <span> 
The 95% confidence interval is (</span>72.7424 ,79.2575).<span>
The answer is the letter </span>A and the letter D<span>
The value of 71.8 and 79.8 <span> are </span> outside<span> the 95% confidence interval for the mean of the sample</span></span>
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