The number of television viewing hours per household and the prime viewing times are two factors that affect television advertising income, A random sample of 50 households in a particular viewing area produced the following estimated of viewing hours per household. 3.0 6.0 7.5 15.0 12.0 6.6 9.5 14.5 10.5 11:0 6.5 8.0 4.0 5.5 6.0 5.6 13.3 13.1 5.5 12.5 5.0 12.0 1.0 3.5 3.0 2.4 3.8 4.5 8.0 2.5 7.5 5.0 10.0 8.0 3.5 2.6 8.5 2.5 6.4 7.6 9.0 2.0 6.5 1.0 5.0 7.7 9.3 6.5 8.2 8.8 а. Starting with the lowest value as the lower class limit, construct a frequency distribution. b Determine the class marks, class boundaries, relative frequency, CF.

The number of television viewing hours per household and the prime viewing times are two factors that affect television advertising income, A random sample of 50 households in a particular viewing area produced the following estimated of viewing hours per household. 3.0 6.0 7.5 15.0 12.0 6.6 9.5 14.5 10.5 11:0 6.5 8.0 4.0 5.5 6.0 5.6 13.3 13.1 5.5 12.5 5.0 12.0 1.0 3.5 3.0 2.4 3.8 4.5 8.0 2.5 7.5 5.0 10.0 8.0 3.5 2.6 8.5 2.5 6.4 7.6 9.0 2.0 6.5 1.0 5.0 7.7 9.3 6.5 8.2 8.8 а. Starting with the lowest value as the lower class limit, construct a frequency distribution. b Determine the class marks, class boundaries, relative frequency, CF.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.4: Collecting Data

Problem 3E

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