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:A random sample of n = 68 observations is selected from a population withμ=19.6and σ=3.2Approximate each of the following probabilities

a)pX¯19.6

b)pX¯19

c)pX¯20.1

d)p19.2X¯20.6


Short Answer

Expert verified

a)

b)

c)

d)

Step by step solution

01

Given Information

The number of sample size is 68.

The mean and standard deviation are 19.6 and 3.2

02

(a) Compute the probability for given condition

X¯19.6=px¯-μσn19.6-19.63.268=pz00.388=0.5

Therefore,pX¯19.6=0.5

03

(b) Calculation

X¯19=px¯-μσn19-19.63.268=pz-0.60.388=0.061

ThereforepX¯19=0.061

04

(c) Calculation

X¯20.1=px¯-μσn20.1-19.63.268=pz0.50.388=0.098

pX¯19=0.061

05

(d) Calculation

p19.2X¯20.6=p19.2-19.63.268x¯-μσn20.6-19.63.268=p-0.40.388z10.388=pz10.388-pz-0.40.388=0.99-0.15=0.84

Therefore,p19.2X¯20.6=0.84

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Most popular questions from this chapter

Length of job tenure. Researchers at the Terry College ofBusiness at the University of Georgia sampled 344 business students and asked them this question: “Over the course of your lifetime, what is the maximum number of years you expect to work for any one employer?” The sample resulted in x= 19.1 years. Assume that the sample of students was randomly selected from the 6,000 undergraduate students atthe Terry College and that = 6 years.

  1. Describe the sampling distribution of X¯.
  2. If the mean for the 6,000 undergraduate students isμ= 18.5 years, findPx¯>19.1.
  3. If the mean for the 6,000 undergraduate students isμ= 19.5 years, findPx¯>19.1.
  4. If,P(x¯>19.1)=0.5 what isμ?
  5. If,Px¯>19.1=0.2 isμgreater than or less than 19.1years? Explain.

Suppose xequals the number of heads observed when asingle coin is tossed; that is, x= 0 or x= 1. The population corresponding to xis the set of 0s and 1s generated when thecoin is tossed repeatedly a large number of times. Supposewe select n= 2 observations from this population. (That is,we toss the coin twice and observe two values of x.)

  1. List the three different samples (combinations of 0s and1s) that could be obtained.
  2. Calculate the value of X¯ffor each of the samples.
  3. Show that the sample proportion of 1s, p^, is equal to X¯.
  4. List the values thatp^can assume, and find the probabilitiesof observing these values.
  5. Construct a graph of the sampling distribution ofp^.

Purchasing decision. A building contractor has decided to purchase a load of the factory-reject aluminum siding as long as the average number of flaws per piece of siding in a sample of size 35 from the factory's reject pile is 2.1 or less. If it is known that the number of flaws per piece of siding in the factory's reject pile has a Poisson probability distribution with a mean of 2.5, find the approximate probability that the contractor will not purchase a load of siding

Consider the following probability distribution:

a. Findμ.

b. For a random sample of n = 3 observations from this distribution, find the sampling distribution of the sample mean.

c. Find the sampling distribution of the median of a sample of n = 3 observations from this population.

d. Refer to parts b and c, and show that both the mean and median are unbiased estimators ofμfor this population.

e. Find the variances of the sampling distributions of the sample mean and the sample median.

f. Which estimator would you use to estimateμ? Why?

Refer to Exercise 5.3.

  1. Show thatxis an unbiased estimator of.
  2. Findσx2.
  3. Find the probability that x will fall within2σxofμ.
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