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The California State University (CSU) system consists of 23 campuses, from San Diego State in the south to Humboldt State near the Oregon border. A CSU administrator wishes to make an inference about the average distance between the hometowns of students and their campuses. Describe and discuss several different sampling methods that might be employed. Would this be an enumerative or an analytic study? Explain yourreasoning.

Short Answer

Expert verified

Simple Random sampling and stratified sampling techniques can be used.

This is an enumerative study since the data may be used to create an actionable item by the CSU administrator.

Step by step solution

01

Given information

The number of campuses that the California State University system consists of is 23.

A CSU administrator wishes to make an inference about the average distance between the hometowns of students and their campuses.

02

State the sampling methods that can be employed.

The sampling methods that can be used in the provided scenario are,

Simple Random sampling: Randomly selecting the distance between the hometowns of students and their campuses will eliminate the biases.

Stratified random sampling: This method can be used treating 23 campuses as subgroups and then taking samples from them.

03

Identify the study

In enumerative study, the population under study is finite and seek to provide numerical summaries, conduct tests to give inference about the proposed claim.

Here, A CSU administrator is interested to study the average distance from hometown to campus.

Using these results, he will take the required steps to minimize the distance by changing students from one to other. The action taken by him using the obtained results comes under enumerative study.

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Most popular questions from this chapter

Two airplanes are flying in the same direction in adjacent parallel corridors. At time \({\rm{t = 10}}\), the first airplane is \({\rm{10}}\)km ahead of the second one. Suppose the speed of the first plane (km/hr.) is normally distributed with mean \({\rm{520\;}}\)and standard deviation \({\rm{10}}\) and the second planeโ€™s speed is also normally distributed with mean and standard deviation \({\rm{500\; and\; 10}}\), respectively.

a. What is the probability that after \({\rm{2hr}}{\rm{. }}\)of flying, the second plane has not caught up to the first plane?

b. Determine the probability that the planes are separated by at most \({\rm{10km\; after\; 2hr}}{\rm{. }}\)

Consider the following information on ultimate tensile strength (lb/in) for a sample of n = 4 hard zirconium copper wire specimens (from โ€œCharacterization Methods forFine Copper Wire,โ€ Wire J. Intl., Aug., 1997: 74โ€“80):mean = 76,831 s = 180 smallest = 76,683 largest = 77,048

Determine the values of the two middle sample observations (and donโ€™t do it by successive guessing!)

The cdf for \({\rm{X( = measurement error)}}\) of Exercise \({\rm{3}}\) is

\({\rm{F(x) = }}\left\{ {\begin{array}{*{20}{c}}{\rm{0}}&{{\rm{x < - 2}}}\\{\frac{{\rm{1}}}{{\rm{2}}}{\rm{ + }}\frac{{\rm{3}}}{{{\rm{32}}}}\left( {{\rm{4x - }}\frac{{{{\rm{x}}^{\rm{3}}}}}{{\rm{3}}}} \right)}&{{\rm{ - 2}} \le {\rm{x < 2}}}\\{\rm{1}}&{{\rm{2}} \le {\rm{x}}}\end{array}} \right.\)

a. Compute \({\rm{P(X < 0)}}\).

b. Compute \({\rm{P( - 1 < X < 1)}}\).

c. Compute \({\rm{P(}}{\rm{.5 < X)}}\).

d. Verify that \({\rm{f(x)}}\) is as given in Exercise \({\rm{3}}\) by obtaining \({\rm{F'(x)}}\).

e. Verify that \(\widetilde {\rm{\mu }}{\rm{ = 0}}\).

Blood cocaine concentration (mg/L) was determined both for a sample of individuals who had died from cocaine-induced excited delirium (ED) and for a sample of those who had died from a cocaine overdose without excited delirium; survival time for people in both groups was at most 6 hours. The accompanying data was read from a comparative boxplot in the article โ€œFatal Excited Delirium Following Cocaine Useโ€ (J.

of Forensic Sciences, 1997: 25โ€“31).

ED0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3

.3 .4 .5 .7 .8 1.0 1.5 2.7 2.8

3.5 4.0 8.9 9.2 11.7 21.0

Non-ED0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2

.3 .3 .3 .4 .5 .5 .6 .8 .9 1.0

1.2 1.4 1.5 1.7 2.0 3.2 3.5 4.1

4.3 4.8 5.0 5.6 5.9 6.0 6.4 7.9

8.3 8.7 9.1 9.6 9.9 11.0 11.5

12.2 12.7 14.0 16.6 17.8

a. Determine the medians, fourths, and fourth spreads for the two samples.

b. Are there any outliers in either sample? Any extreme outliers?

c. Construct a comparative boxplot, and use it as a basis for comparing and contrasting the ED and non-ED samples.

The article cited in Example 1.2 also gave the accompanying strength observations for cylinders:

6.1

5.8

7.8

7.1

7.2

9.2

6.6

8.3

7.0

8.3

7.8

8.1

7.4

8.5

8.9

9.8

9.7

14.1

12.6

11.2


a. Construct a comparative stem-and-leaf display(see the previous exercise) of the beam and cylinder data, and then answer the questions in parts(b)โ€“(d) of Exercise 10 for the observations oncylinders.

b. In what ways are the two sides of the display similar? Are there any obvious differences between the beam observations and the cylinder observations?
c. Construct a dotplot of the cylinder data.

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