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Consider the population described by the probability distribution shown below.

The random variable x is observed twice. If these observations are independent, verify that the different samples of size 2 and their probabilities are as shown below.

a. Find the sampling distribution of the sample meanx.

b. Construct a probability histogram for the sampling distribution ofx.

c. What is the probability thatxis 4.5 or larger?

d. Would you expect to observe a value ofxequal to 4.5 or larger? Explain.

Short Answer

Expert verified

a.

Mean

Probability

1

0.04

1.5

0.12

2

0.17

2.5

0.20

3

0.20

3.5

0.14

4

0.08

4.5

0.04

5

0.01

b.

c. The required answer is 0.05.

d. The value ofxisequal to 4.5.

Step by step solution

01

Calculation of the value of the mean

a.

The meanof the respective samples has been calculated by summing up the numbers and then dividing the same by 2.The final values are shown below.

Sample

Mean

1,1

1

1,2

1.5

1,3

2

1,4

2.5

1,5

3

2,1

1.5

2,2

2

2,3

2.5

2,4

3

2,5

3.5

3,1

2

3,2

2.5

3,3

3

3,4

3.5

3,5

4

4,1

2.5

4,2

3

4,3

3.5

4,4

4

4,5

4.5

5,1

3

5,2

3.5

5,3

4

5,4

4.5

5,5

5

02

Calculation of the probabilities

The respective probabilities of the samples are added to get the final probabilities of the mean values, as shown below.

Mean

Probability

1

0.04

1.5

0.06+0.06=0.12

2

0.04+0.09+0.04=0.17

2.5

0.04+0.06+0.06+0.04=0.20

3

0.02+0.06+0.06+0.04=0.20

3.5

0.03+0.04+0.04+0.06+0.02=0.20

4

0.02+0.04+0.04+0.03=0.14

4.5

0.02+0.02=0.04

5

0.01

The probabilities of the respective samples are greater than 0 but less than 1.

03

List of the probabilities of the values of the means

b.

The means of the respective samples have been calculated by summing up the numbers and then dividing the same by 2.The final values are shown below.

Mean

Probability

1

0.04

1.5

0.12

2

0.17

2.5

0.20

3

0.20

3.5

0.14

4

0.08

4.5

0.04

5

0.01

04

Elucidation of the graph

The graph contains probabilities on the y-axis and the values of the means of x from 1 to 5 on the x-axis.

From the graph, it can be deduced that 2.5 and 3 show the highest probability, which is 0.20.

05

List of the probabilities of the values of the means

c.

The list of all the probabilities of the mean values is shown below.

Mean

Probability

1

0.04

1.5

0.12

2

0.17

2.5

0.20

3

0.20

3.5

0.14

4

0.08

4.5

0.04

5

0.01

06

Computation of the probabilities

The calculation of the probability of xto be 4.5 and above is shown below.

localid="1658118837019" P(x4.5)=P(x=5)=0.04+0.01=0.5

The final value of the probability ofxto be 4.5 and above is 0.05.

07

Determination of the probabilities of the means 

d.

From Part (a), it has been found that the probability of x is 0.04 when it is equal to 4.5, and when it is above 4.5, the probability is 0.01. Therefore, the probability of being equal to 4.5 is larger than that ofxbeinglarger than 4.5.

08

Reason for x being equal to 4.5

It has been observed that in Part (a),x has only one value, that is, 5 (above 4.5). On the other hand, in the table, 4.5 has appeared two times.So, it can be deduced thatx being equal to 4.5 has a greater chance.

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Most popular questions from this chapter

Soft-drink bottles. A soft-drink bottler purchases glass bottles from a vendor. The bottles are required to have an internal pressure of at least 150 pounds per square inch (psi). A prospective bottle vendor claims that its production process yields bottles with a mean internal pressure of 157 psi and a standard deviation of 3 psi. The bottler strikes an agreement with the vendor that permits the bottler to sample from the vendor’s production process to verify the vendor’s claim. The bottler randomly selects 40 bottles from the last 10,000 produced, measures the internal pressure of each, and finds the mean pressure for the sample to be 1.3 psi below the process mean cited by the vendor.

a. Assuming the vendor’s claim to be true, what is the probability of obtaining a sample mean this far or farther below the process mean? What does your answer suggest about the validity of the vendor’s claim?

b. If the process standard deviation were 3 psi as claimed by the vendor, but the mean were 156 psi, would the observed sample result be more or less likely than in part a? What if the mean were 158 psi?

c. If the process mean were 157 psi as claimed, but the process standard deviation were 2 psi, would the sample result be more or less likely than in part a? What if instead the standard deviation were 6 psi?

Question:A random sample of 40 observations is to be drawn from a large population of measurements. It is known that 30% of the measurements in the population are 1s, 20% are 2s, 20% are 3s, and 30% are 4s.

a. Give the mean and standard deviation of the (repeated) sampling distribution ofx¯, the sample mean of the 40 observations.

b. Describe the shape of the sampling distribution ofx¯. Does youranswer depend on the sample size?

Will the sampling distribution ofχ¯ always be approximately normally distributed? Explain

Question:Quality control. Refer to Exercise 5.68. The mean diameter of the bearings produced by the machine is supposed to be .5 inch. The company decides to use the sample mean from Exercise 5.68 to decide whether the process is in control (i.e., whether it is producing bearings with a mean diameter of .5 inch). The machine will be considered out of control if the mean of the sample of n = 25 diameters is less than .4994 inch or larger than .5006 inch. If the true mean diameter of the bearings produced by the machine is .501 inch, what is the approximate probability that the test will imply that the process is out of control?

Suppose a random sample of n = 500 measurements is selected from a binomial population with probability of success p. For each of the following values of p, give the mean and standard deviation of the sampling distribution of the sample proportion,p^.

  1. p= .1
  2. p= .5
  3. p= .7
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