Top Broadcast Shows. The viewing audiences, in millions, for...

Top Broadcast Shows. The viewing audiences, in millions, for the top 20 television shows, as determined by the Nielsen Ratings for the week ending October $26,2008,$ are shown in the following table. Use cutpoint grouping with a first class of 12-under 13. $$\begin{array}{lllll}\hline 19.492 & 18.497 & 17.226 & 16.350 & 15.953 \\15.479 & 15.282 & 15.012 & 14.634 & 14.630 \\14.451 & 14.390 & 13.505 & 13.309 & 13.277 \\13.085 & 13.059 & 12.816 & 12.777 & 12.257 \\\hline\end{array}$$

Top Broadcast Shows. The viewing audiences, in millions, for the top 20 television shows, as determined by the Nielsen Ratings for the week ending October $26,2008,$ are shown in the following table. Use cutpoint grouping with a first class of 12-under 13.
$$\begin{array}{lllll}\hline 19.492 & 18.497 & 17.226 & 16.350 & 15.953 \\15.479 & 15.282 & 15.012 & 14.634 & 14.630 \\14.451 & 14.390 & 13.505 & 13.309 & 13.277 \\13.085 & 13.059 & 12.816 & 12.777 & 12.257 \\\hline\end{array}$$

Labs

Want to see this concept in action?

NEW

Explore this concept interactively to see how it behaves as you change inputs.

View Labs

Key Concepts

Frequency Distribution

A frequency distribution is a way to summarize data by organizing it into a table that shows the number of observations in each of several non-overlapping categories or intervals. This method helps in understanding the distribution and spread of the data, making it easier to analyze patterns and trends.

Class Intervals

Class intervals, also known as classes, are the ranges into which the data is grouped in a frequency distribution. Setting appropriate intervals is crucial because it determines how detailed the summary will be and affects the visual representation in histograms or frequency tables.

Cutpoint Grouping

Cutpoint grouping is a technique for creating class intervals where the end points, known as cutpoints, are specifically chosen based on numerical values. In this method, the endpoints are selected such that each interval is defined by precise boundaries (for example, a class of 12-under 13), ensuring that each data point falls into exactly one interval, which minimizes ambiguity.

Transcript

Please give Ace some feedback