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balandron [24]
3 years ago
13

Two chips are drawn at random and without replacement from a bag containing two blue chips and two red chips. Events A and B are

defined as follows. A: {At least one of the chips is blue}. B: {Both chips are red}. The events A and B are mutually exclusive.
Mathematics
1 answer:
BARSIC [14]3 years ago
5 0

Answer:

Yes, The events A and B are mutually exclusive event.

Step-by-step explanation:

Two chips are drawn at random and without replacement from a bag containing two blue chips and two red chips.

Total chips (n ) = 4

Two chips are chooses from 4 chips then the total possibilities are = \binom{4}{2}

total outcomes = \frac{4!}{(2!)(2!)} = 6

Let b_{1} and b_{2} denote blue chips and r_{1} and r_{2} denote red chips.

A: {At least one of the chips is blue} = { b_{1}b_{2 , b_{1}r_{1} , b_{1}r_{2} , b_{2}r_{1}, b_{2}r_{2} }

P( A) = \frac{5}{6}

B: {Both chips are red} = { r_{1}r_{2} }

P( B)  = \frac{1}{6}

(A\bigcup B)  = { b_{2}b_{1} , b_{1}r_{1} , b_{1}r_{2} , b_{2}r_{1} , b_{2}r_{2} ,r_{1}r_{2} }

P(A\bigcup B) = \frac{6}{6}

If A and B are mutuall exclusive

P(A\bigcup B) = P( A) + P( B)

P( A) + P( B)  = \frac{5}{6} + \frac{1}{6} = 1

P(A\bigcup B) = \frac{6}{6} = 1

Hence

P(A\bigcup B) = P( A) + P( B)

Then A and B are mutuall exclusive

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Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther.â  Suppose a small group of 11 Allen's humming
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Answer:

3.15-1.28\frac{0.38}{\sqrt{11}}=3.003    

3.15+ 1.28\frac{0.38}{\sqrt{11}}=3.297    

So on this case the 80% confidence interval would be given by (3.003;3.297)

And the margin of error is given by:

ME = 1.28\frac{0.38}{\sqrt{11}}= 0.147    

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

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".

\bar X=3.15 represent the sample mean

\mu population mean (variable of interest)

\sigma=0.38 represent the population standard deviation

n=11 represent the sample size  

Solution to the problem

The confidence interval for the mean is given by the following formula:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)

Since the Confidence is 0.80 or 80%, the value of \alpha=0.2 and \alpha/2 =0.1, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NOR.INV(0.1,0,1)".And we see that z_{\alpha/2}=1.28

Now we have everything in order to replace into formula (1):

3.15-1.28\frac{0.38}{\sqrt{11}}=3.003    

3.15+ 1.28\frac{0.38}{\sqrt{11}}=3.297    

So on this case the 80% confidence interval would be given by (3.003;3.297)

And the margin of error is given by:

ME = 1.28\frac{0.38}{\sqrt{11}}= 0.147    

8 0
3 years ago
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