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The Nielsen Media Research television rating measures the percentage of television owners who are watching a particular television program. The highest-rated television program in television history was the \(M^{*} A^{*} S^{*} H\) Last Episode Special shown on February 28,1983 A 60.2 rating indicated that \(60.2 \%\) of all television owners were watching this program. Nielsen Media Research provided the list of the 50 top-rated single shows in television history (The New York Times Almanac, 2006). The following data show the television net- work that produced each of these 50 top-rated shows. \(\begin{array}{lllll}\mathrm{ABC} & \mathrm{ABC} & \mathrm{ABC} & \mathrm{NBC} & \mathrm{CBS} \\ \mathrm{ABC} & \mathrm{CBS} & \mathrm{ABC} & \mathrm{ABC} & \mathrm{NBC} \\ \mathrm{NBC} & \mathrm{NBC} & \mathrm{CBS} & \mathrm{ABC} & \mathrm{NBC} \\ \mathrm{CBS} & \mathrm{ABC} & \mathrm{CBS} & \mathrm{NBC} & \mathrm{ABC} \\ \mathrm{CBS} & \mathrm{NBC} & \mathrm{NBC} & \mathrm{CBS} & \mathrm{NBC} \\ \mathrm{CBS} & \mathrm{CBS} & \mathrm{CBS} & \mathrm{NBC} & \mathrm{NBC} \\ \mathrm{FOX} & \mathrm{CBS} & \mathrm{CBS} & \mathrm{ABC} & \mathrm{NBC} \\ \mathrm{ABC} & \mathrm{ABC} & \mathrm{CBS} & \mathrm{NBC} & \mathrm{NBC} \\ \mathrm{NBC} & \mathrm{CBS} & \mathrm{NBC} & \mathrm{CBS} & \mathrm{CBS} \\ \mathrm{ABC} & \mathrm{CBS} & \mathrm{ABC} & \mathrm{NBC} & \mathrm{ABC}\end{array}\) a. Construct a frequency distribution, percent frequency distribution, and bar graph for the data. b. Which network or networks have done the best in terms of presenting top- rated television shows? Compare the performance of \(\mathrm{ABC}, \mathrm{CBS},\) and \(\mathrm{NBC}\)

Short Answer

Expert verified
NBC has the highest percentage (36%) of top-rated shows, performing best.

Step by step solution

01

Count Network Frequency

Count the number of times each network appears in the list. For the given 50 shows, we have the following counts: - ABC: 16 - CBS: 15 - NBC: 18 - FOX: 1
02

Calculate Percent Frequency

To find the percent frequency, divide the frequency of each network by the total number of shows (50) and multiply by 100.- ABC: \( \frac{16}{50} \times 100 = 32\% \)- CBS: \( \frac{15}{50} \times 100 = 30\% \)- NBC: \( \frac{18}{50} \times 100 = 36\% \)- FOX: \( \frac{1}{50} \times 100 = 2\% \)
03

Construct Frequency and Percent Frequency Distributions

Record the frequency and percent frequency of each network in a tabular form:\[\begin{array}{|c|c|c|}\hline \text{Network} & \text{Frequency} & \text{Percent Frequency} \\hline \text{ABC} & 16 & 32\% \\hline \text{CBS} & 15 & 30\% \\hline \text{NBC} & 18 & 36\% \\hline \text{FOX} & 1 & 2\% \\hline\end{array}\]
04

Construct a Bar Graph

Create a bar graph with the networks on the x-axis and their frequencies or percent frequencies on the y-axis. Each bar will represent a network: - ABC has a bar reaching up to 16 shows or 32%. - CBS has a bar reaching up to 15 shows or 30%. - NBC has a bar reaching up to 18 shows or 36%. - FOX has a very small bar for 1 show or 2%.
05

Analyze and Compare Network Performance

From the percent frequency distribution and bar graph, NBC has the highest percentage of top-rated shows at 36%, followed by ABC at 32%, CBS at 30%, and FOX with 2%. Therefore, NBC has done the best in terms of presenting top-rated television shows.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Frequency Distribution
Frequency distribution is a way of organizing data so that it becomes easily understandable. Imagine you are looking at a list of TV networks presenting popular shows. This list is a bit chaotic with repeated names. To make sense of it, you count how many times each network appears. This count for each network is their frequency.

For example, if ABC appears 16 times, CBS 15 times, NBC 18 times, and FOX only 1 time in the list, you have now transformed raw data into a clean, organized set. Frequency distribution helps to simplify the data by showing you clearly which network has the most top-rated shows and which has the least.

In summary, a frequency distribution is a vital tool in statistics that helps you understand the frequency of occurrence of different items in a data set. It's like taking a scattered box of puzzles and putting them into neat categories so you can see the picture more clearly.
Percent Frequency
Once you have a frequency distribution, you might want to know what percentage of the total each frequency represents. This is where the concept of percent frequency comes into play. Percent frequency shows you the relative importance or share of each category as part of the total.

To calculate it, you take the frequency of a category, divide it by the total number, and then multiply by 100 to convert it into a percentage. For instance, if NBC has 18 top-rated shows out of a total of 50, you calculate \( \frac{18}{50} \times 100 = 36\% \).

Percent frequency provides insight into how significant each network is relative to the whole picture. It makes it easier to compare different networks by showing not just the count but also the proportion. This is crucial when you want to quickly understand the distribution of a group or compare the performance of different entities.
Bar Graph
Bar graphs are graphical representations of data that use bars to show how much each category stands for. They are one of the most straightforward and popular ways to visualize frequency distributions.

In the context of our exercise, you have networks on the x-axis (ABC, CBS, NBC, and FOX) and their frequencies or percent frequencies on the y-axis. Each bar's height corresponds to the count or percentage, giving you a visual snapshot of how each network is performing.

Bar graphs are great because they make data comparison easy at a glance. When creating or looking at a bar graph, it's simple to see things like NBC has the tallest bar in our example, meaning they lead in top-rated shows. Meanwhile, FOX has a very short bar, indicating their smaller share.

In essence, bar graphs transform complex numerical data into a clear, comparative format, allowing quick assessments and better decision-making based on the visual insights they provide.

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Most popular questions from this chapter

The Higher Education Research Institute at UCLA provides statistics on the most popular majors among incoming college freshmen. The five most popular majors are Arts and Humanities (A), Business Administration (B), Engineering (E), Professional (P), and Social Science (S) (The New York Times Almanac, 2006). A broad range of other (O) majors, including biological science, physical science, computer science, and education, are grouped together. The majors selected for a sample of 64 college freshmen follow. \(\begin{array}{llllllllllllllll}\mathrm{S} & \mathrm{P} & \mathrm{P} & \mathrm{O} & \mathrm{B} & \mathrm{E} & \mathrm{O} & \mathrm{E} & \mathrm{P} & \mathrm{O} & \mathrm{O} & \mathrm{B} & \mathrm{O} & \mathrm{O} & \mathrm{O} & \mathrm{A} \\ \mathrm{O} & \mathrm{E} & \mathrm{E} & \mathrm{B} & \mathrm{S} & \mathrm{O} & \mathrm{B} & \mathrm{O} & \mathrm{A} & \mathrm{O} & \mathrm{E} & \mathrm{O} & \mathrm{E} & \mathrm{O} & \mathrm{B} & \mathrm{P}\end{array}\) \(\begin{array}{llllllllllllllll}\mathrm{B} & \mathrm{A} & \mathrm{S} & \mathrm{O} & \mathrm{E} & \mathrm{A} & \mathrm{B} & \mathrm{O} & \mathrm{S} & \mathrm{S} & \mathrm{O} & \mathrm{O} & \mathrm{E} & \mathrm{B} & \mathrm{O} & \mathrm{B} \\ \mathrm{A} & \mathrm{E} & \mathrm{B} & \mathrm{E} & \mathrm{A} & \mathrm{A} & \mathrm{P} & \mathrm{O} & \mathrm{O} & \mathrm{E} & \mathrm{O} & \mathrm{B} & \mathrm{B} & \mathrm{O} & \mathrm{P} & \mathrm{B}\end{array}\) a. Show a frequency distribution and percent frequency distribution. b. Show a bar graph. c. What percentage of freshmen selects one of the five most popular majors? d. What is the most popular major for incoming freshmen? What percentage of freshmen select this major?

Netflix, Inc., of San Jose, California, provides DVD rentals of more than 50,000 titles by mail. Customers go online to create an order list of DVDs they would like to view. Before ordering a particular DVD, the customer may view a description of the DVD and, if desired, a summary of critics' ratings. Netflix uses a five-star rating system with the following descriptions: Eighteen critics, including Roger Ebert of the Chicago Sun Times and Ty Burr of the Boston Globe, provided ratings for the movie Batman Begins (Netflix.com, March 1, 2006). The ratings for Batman Begins were as follows: 4, 2, 5, 2, 4, 3, 3, 4, 4, 3, 4, 4, 4, 2, 4, 4, 5, 4 a. Comment on why these data are qualitative. b. Provide a frequency distribution and relative frequency distribution for the data. c. Provide a bar graph. d. Comment on the critics' evaluation of Batman Begins.

Construct a stem-and-leaf display for the following data. $$\begin{array}{ccccccc} 70 & 72 & 75 & 64 & 58 & 83 & 80 & 82 \\ 76 & 75 & 68 & 65 & 57 & 78 & 85 & 72 \end{array}$$

Consider the following frequency distribution. Class Frequency $$\begin{array}{lr}10-19 & 10 \\\20-29 & 14 \\\30-39 & 17 \\\40-49 & 7 \\\50-59 & 2\end{array}$$ Construct a cumulative frequency distribution and a cumulative relative frequency distribution.

In alphabetical order, the six most common last names in the United States are Brown, Davis, Johnson, Jones, Smith, and Williams (The World Almanac, 2006). Assume that a sample of 50 individuals with one of these last names provided the following data. \(\begin{array}{llll}\text { Brown } & \text { Williams } & \text { Williams } & \text { Williams } & \text { Brown } \\ \text { Smith } & \text { Jones } & \text { Smith } & \text { Johnson } & \text { Smith } \\ \text { Davis } & \text { Smith } & \text { Brown } & \text { Williams } & \text { Johnson } \\\ \text { Johnson } & \text { Smith } & \text { Smith } & \text { Johnson } & \text { Brown } \\ \text { Williams } & \text { Davis } & \text { Johnson } & \text { Williams } & \text { Johnson } \\ \text { Williams } & \text { Johnson } & \text { Jones } & \text { Smith } & \text { Brown } \\ \text { Johnson } & \text { Smith } & \text { Smith } & \text { Brown } & \text { Jones } \\ \text { Jones } & \text { Jones } & \text { Smith } & \text { Smith } & \text { Davis } \\ \text { Davis } & \text { Jones } & \text { Williams } & \text { Davis } & \text { Smith } \\ \text { Jones } & \text { Johnson } & \text { Brown } & \text { Johnson } & \text { Davis }\end{array}\) Summarize the data by constructing the following: a. Relative and percent frequency distributions b. A bar graph c. A pie chart d. Based on these data, what are the three most common last names?

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