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Refer to Exercise 5.5, in which we found the sampling distribution of the sample median. Is the median an unbiased estimator of the population mean m?

Short Answer

Expert verified

Yes, the median is an unbiased estimator of the population mean 鈥渕鈥.

Step by step solution

01

List of probabilities

The list of the probabilities found in Exercise 5.5 corresponding to the respective mean 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

02

Determination of the biasedness of the median

The calculation of the mean and is shown below.

X=xpx=10.2+20.3+30.2+40.2+50.1=2.7Em=Empm=10.04+1.50.12+20.17+2.50.20+30.20+0.040.18+40.08+4.50.04+50.01=0.04+0.18+0.34+0.5+0.6+0.49+0.32+0.18+0.05=2.7

As the value of andEmis 2.7 each, somis an unbiased estimator of.

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Most popular questions from this chapter

Refer to Exercise 5.18. Find the probability that

  1. xis less than 16.
  2. xis greater than 23.
  3. xis greater than 25.
  4. xfalls between 16 and 22.
  5. x is less than 14.

Video game players and divided attention tasks. Human Factors (May 2014) published the results of a study designed to determine whether video game players are better than non鈥搗ideo game players at crossing the street when presented with distractions. Participants (college students) entered a street-crossing simulator. The simulator was designed to have cars traveling at various high rates of speed in both directions. During the crossing, the students also performed a memory task as a distraction. The researchers found that students who are video game players took an average of 5.1 seconds to cross the street, with a standard deviation of .8 second. Assume that the time, x, to cross the street for the population of video game players has , Now consider a sample of 30 students and let x represent the sample mean time (in seconds) to cross the street in the simulator.

a. Find Px>5.5

b. The 30 students in the sample are all non鈥搗ideo game players. What inference can you make about and/or for the population of non鈥搗ideo game players? Explain.

Refer to Exercise 5.18. Find the probability that

  1. xis less than 16.
  2. xis greater than 23.
  3. xis greater than 25.
  4. xfalls between 16 and 22.
  5. xis less than 14.

Refer to Exercise 5.3 and find E=(x)=. Then use the sampling distribution ofxfound in Exercise 5.3 to find the expected value ofx. Note thatE=(x)=.

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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