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MaRussiya [10]
3 years ago
11

Laura and Philip each fire one shot at a target. Laura has probability 0.4 of hitting the target, and Philip has probability 0.1

. The shots are independent. (i). Find the probability that the target is hit.(3 points) (ii). Find the probability that the target is hit by exactly one shot.(3 points) (iii). Given that the target was hit by exactly one shot, find the probability that Philip hit the target.(4 points)
Mathematics
1 answer:
Pepsi [2]3 years ago
6 0

Answer:

(i) 0.46, (ii)0.42, and (iii)0.143

Step-by-step explanation:

Let p be the probability of hitting the target and q be the probability of missing the target by Laura.

Given that p=0.4\;\cdots (1)

As Laura either hit or miss the target, so p+q=1.

\Rightarrow q=1-p=0.6 \; \cdots (2)

Again, let r be the probability of hitting the target and s be the probability of missing the target by Philip.

Here, r=0.1\;\cdots (3)

Similarly, \Rightarrow s=1-r=0.9\;\cdots (4)

(i)The probability that the target is hit means that the target is not missed by both, either of one or both hit the target.

=1-(probability of missing the target by both)

=1-qr [from equation (2) and (4) ]

=1-0.6\times 0.9

=1-0.54

=0.46

(ii) The probability that the target is hit by exactly one shot means either of one hit the target.

=Hit by Laura and missed by Philip or hit by Philip and missed by Laura

=0.4\times 0.9+0.1\times 0.6 [from equations (1),(4) and (3),(2)]

=0.36+0.06

=0.42

(iii)Given that the target was hit by exactly one shot, so, the given probability is 0.42 [from (ii) part]

No, the probability that the target was hit by Philip = probability of hitting the target by Philip and missing the target by Laura

=0.1\times 0.6 [from equations (3) and (2)]

=0.06

So, the probability of hitting the target by Philip

=\frac {0.06}{0.42}

=\frac {1}{7}

=0.143 (approx)

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Mean = 5.7
Standard Deviation = 0.046

-----------------------

The mean is given to us, which was 5.7, so there's no need to do any work there.

To get the standard deviation of the sample distribution, we divide the given standard deviation s = 0.26 by the square root of the sample size n = 32
So, we get s/sqrt(n) = 0.26/sqrt(32) = 0.0459619 which rounds to 0.046

================================================

Part B

The 95% confidence interval is roughly (3.73, 7.67)
The margin of error expression is z*s/sqrt(n)
The interpretation is that if we generated 100 confidence intervals, then roughly 95% of them will have the mean between 3.73 and 7.67

-----------------------

At 95% confidence, the critical value is z = 1.96 approximately

ME = margin of error
ME = z*s/sqrt(n)
ME = 1.96*5.7/sqrt(32)
ME = 1.974949
The margin of error is roughly 1.974949

The lower and upper boundaries (L and U respectively) are:
L = xbar-ME
L = 5.7-1.974949
L = 3.725051
L = 3.73
and
U = xbar+ME
U = 5.7+1.974949
U = 7.674949
U = 7.67

================================================

Part C

Confidence interval is (5.99, 6.21)
Margin of Error expression is z*s/sqrt(n)
If we generate 100 intervals, then roughly 95 of them will have the mean between 5.99 and 6.21. We are 95% confident that the mean is between those values.

-----------------------

At 95% confidence, the critical value is z = 1.96 approximately

ME = margin of error
ME = z*s/sqrt(n)
ME = 1.96*0.34/sqrt(34)
ME = 0.114286657
The margin of error is roughly 0.114286657

L = lower limit
L = xbar-ME
L = 6.1-0.114286657
L = 5.985713343
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U = upper limit
U = xbar+ME
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U = 6.214286657
U = 6.21
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