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Chapter 1: Q.57 (page 53)

For the following exercises, identify the type of data that would be used to describe a response (quantitative discrete, quantitative continuous, or qualitative), and give an example of the data. number of students enrolled at Evergreen Valley College.

Short Answer

Expert verified

A quantitative discrete type of data is the number of students enrolled at Evergreen Valley College.Example: number of students enrolled at Evergreen Valley College is 1449.

Step by step solution

01

To determine

The mentioned line also gives an example of such type of data, whether quantitative discrete, quantitative continuous, or qualitative.

02

Explanation

We can watch quantitative discrete data in a real line at regular intervals, or we can view data in simply integer format. We must use an integer data point to observe the number of students enrolled at Evergreen Valley College; it cannot be a decimal. It can't be 1252.45 because the number of students isn't a fraction. As a result, the right response is quantitative discrete.

03

Conclusion

The number of students enrolled at Evergreen Valley College must be collected as an integer, which means it must be a whole number that cannot be decimal, making the answer quantitative discrete.

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Most popular questions from this chapter

Political pollsters may be interested in the proportion of people who will vote for a particular cause.

A scholarly article about response rates begins with the following quote:

鈥淒eclining contact and cooperation rates in random digit dial (RDD) national telephone surveys raise serious concerns about the validity of estimates drawn from such research.鈥�[6]The Pew Research Center for People and the Press admits: 鈥淭he percentage of people we interview 鈥� out of all we try to interview 鈥� has been declining over the past decade or more.鈥�[7]

a. What are some reasons for the decline in response rate over the past decade?

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1.11 You are going to use the random number generator to generate different types of samples from the data.

This table displays six sets of quiz scores (each quiz counts 10 points) for an elementary statistics class.

Instructions: Use the Random Number Generator to pick samples.

1. Create a stratified sample by column. Pick three quiz scores randomly from each column.

鈼� Number each row one through ten.

鈼� On your calculator, press Math and arrow over to PRB.

鈼� For column 1, Press 5:randInt( and enter 1,10). Press ENTER. Record the number. Press ENTER 2 more

times (even the repeats). Record these numbers. Record the three quiz scores in column one that correspond

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鈼� Repeat for columns two through six.

鈼� These 18 quiz scores are a stratified sample.

2. Create a cluster sample by picking two of the columns. Use the column numbers: one through six.

鈼� Press MATH and arrow over to PRB.

鈼� Press 5:randInt( and enter 1,6). Press ENTER. Record the number. Press ENTER and record that number.

鈼� The two numbers are for two of the columns.

鈼� The quiz scores (20 of them) in these 2 columns are the cluster sample.

3. Create a simple random sample of 15 quiz scores.

鈼� Use the numbering one through 60.

鈼� Press MATH. Arrow over to PRB. Press 5:randInt( and enter 1, 60).

鈼� Press ENTER 15 times and record the numbers.

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鈼� These 15 quiz scores are the systematic sample.

4. Create a systematic sample of 12 quiz scores.

鈼� Use the numbering one through 60.

鈼� Press MATH. Arrow over to PRB. Press 5:randInt( and enter 1, 60).

鈼� Press ENTER. Record the number and the first quiz score. From that number, count ten quiz scores and

record that quiz score. Keep counting ten quiz scores and recording the quiz score until you have a sample

of 12 quiz scores. You may wrap around (go back to the beginning).

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