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Chapter 2: Q2.10 (page 41)

Short Answer

Expert verified

A) First Column : Quantitative Ordinal Variable ; B) Second Column : Qualitative Categorical ; C) Third Column : Quantitative Continuous Variable ;

Step by step solution

01

Basics 

  • Quantitative variables can be measured in terms of numerical units.

Ordinal variables are in form of ranks - 1st, 2nd, 3rd & so on

Continuous variable can be in form of whole & non whole numbers - can take values like 4.8, 10.5 etc

  • Qualitative variables can't be measured in terms of numerical units.

Categorical variables can take only few options or categories, like gender 'male' or 'female

02

Explanation 

1st column depicts respective ranks of institutions, it is Quantitative Ordinal Variable

2nd column depicts names of institutions, it is Qualitative Categorical Variable

3rd column depicts overall score in non whole numbers, it is Quantitative Continuous Variable

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Most popular questions from this chapter

Frequency Polygon. In Exercises 15 and 16, construct the frequency polygons.

Old Faithful Use the frequency distribution from Exercise 11 in Section 2-1 on page 49 to construct a frequency polygon. Does the graph suggest that the distribution is skewed? If so, how?

Relative Frequencies for Comparisons. In Exercises 19 and 20, construct the relative frequency distributions and answer the given questions.

Oscar Winners Construct one table (similar to Table 2-9 on page 47) that includes relative frequencies based on the frequency distributions from Exercises 5 and 6, and then compare the ages of Oscar-winning actresses and actors. Are there notable differences?

In Exercises 1–6, refer to the data below, which are total home game playing times (hours) for all Major League Baseball teams in a recent year (based on data from Baseball Prospectus).

236 237 238 239 241 241 242 245 245 245 246 247 247 248 248 249 250 250 250 251 252 252 253 253 258 258 258 260 262 264

Deceptive Graph Assume that you want to create the histogram for Exercise 3 in a way that exaggerates the differences among the times. Describe how the histogram from Exercise 3 can be modified to accomplish that exaggeration.

Pie Charts. In Exercises 13 and 14, construct the pie chart.

Getting a Job Use the data from Exercise 12 “Getting a Job.”

Cumulative Frequency Distributions. In Exercises 21 and 22, construct the cumulative frequency distribution that corresponds to the frequency distribution in the exercise indicated.

Exercise 5 (Age of Best Actress When Oscar Was Won)
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