A corpus is a technical term for a collection of texts used to analyze a language and verify its linguistic properties. The first modern, computer-readable corpus was the Brown Corpus of Standard American English, compiled by Henry Kucera and W. Nelson Francis of Brown University. The Brown Corpus draws from American English texts printed in 1961 and was for many years a widely cited resource in computational linguistics. The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories. Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Word Frequency Relative Frequency (Thousands of occurrences) a 23.1 0.1252 to 26.1 and 0.1566 of 36.4 0.1973 the 70.0 0.3794 Total 184.5 The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about . A census is an enumeration of a population. The U.S. Census Bureau conducts a census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix. Consider a data set consisting of all the residents of these five cities. The values of the variable named City are New York City, Los Angeles, Chicago, Houston, and Phoenix, so City is a nominal variable with five categories. Frequency and relative frequency distributions are provided in the table below, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 City Frequency Relative Frequency (Millions of people) New York City 8.27 0.4422 Los Angeles 3.83 Chicago 0.1519 Houston 2.21 0.1182 Phoenix 1.55 0.0829 Total 18.70 The U.S. population is about 300 million. The frequency of New York City residents in the U.S. population is about people. The relative frequency of New York City residents in the U.S. population is about . In 1935, Harvard linguist George Zipf pointed out that the frequency of the kth most frequent word in a language is roughly proportional to 1/k. This implies that the second most frequent word in a language has a frequency one-half that of the most frequent word, the third most frequent word has a frequency one-third that of the most frequent word, and so on. A distribution that follows this rule is said to obey Zipf’s Law. Zipf’s Law has been observed not only in word distributions, but in other phenomena as well, such as the populations of cities. The frequency of the third most frequent word in the Brown Corpus is that of the most frequent word. The population of the third largest city in the United States is that of the largest city. The frequency of the fifth most frequent word in the Brown Corpus is that of the most frequent word. The population of the fifth largest city in the United States is that of the largest city.

A corpus is a technical term for a collection of texts used to analyze a language and verify its linguistic properties. The first modern, computer-readable corpus was the Brown Corpus of Standard American English, compiled by Henry Kucera and W. Nelson Francis of Brown University. The Brown Corpus draws from American English texts printed in 1961 and was for many years a widely cited resource in computational linguistics. The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories. Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Word Frequency Relative Frequency (Thousands of occurrences) a 23.1 0.1252 to 26.1 and 0.1566 of 36.4 0.1973 the 70.0 0.3794 Total 184.5 The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about . A census is an enumeration of a population. The U.S. Census Bureau conducts a census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix. Consider a data set consisting of all the residents of these five cities. The values of the variable named City are New York City, Los Angeles, Chicago, Houston, and Phoenix, so City is a nominal variable with five categories. Frequency and relative frequency distributions are provided in the table below, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 City Frequency Relative Frequency (Millions of people) New York City 8.27 0.4422 Los Angeles 3.83 Chicago 0.1519 Houston 2.21 0.1182 Phoenix 1.55 0.0829 Total 18.70 The U.S. population is about 300 million. The frequency of New York City residents in the U.S. population is about people. The relative frequency of New York City residents in the U.S. population is about . In 1935, Harvard linguist George Zipf pointed out that the frequency of the kth most frequent word in a language is roughly proportional to 1/k. This implies that the second most frequent word in a language has a frequency one-half that of the most frequent word, the third most frequent word has a frequency one-third that of the most frequent word, and so on. A distribution that follows this rule is said to obey Zipf’s Law. Zipf’s Law has been observed not only in word distributions, but in other phenomena as well, such as the populations of cities. The frequency of the third most frequent word in the Brown Corpus is that of the most frequent word. The population of the third largest city in the United States is that of the largest city. The frequency of the fifth most frequent word in the Brown Corpus is that of the most frequent word. The population of the fifth largest city in the United States is that of the largest city.

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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Question

The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories.

Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table.

Table 1
Word	Frequency	Relative Frequency
	(Thousands of occurrences)
a	23.1	0.1252
to	26.1
and		0.1566
of	36.4	0.1973
the	70.0	0.3794
Total	184.5

The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about .

A census is an enumeration of a population. The U.S. Census Bureau conducts a census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix.

Consider a data set consisting of all the residents of these five cities. The values of the variable named City are New York City, Los Angeles, Chicago, Houston, and Phoenix, so City is a nominal variable with five categories. Frequency and relative frequency distributions are provided in the table below, but the table is incomplete. Use the dropdown menus to complete the table.

Table 1
City	Frequency	Relative Frequency
(Millions of people)
New York City	8.27	0.4422
Los Angeles	3.83
Chicago		0.1519
Houston	2.21	0.1182
Phoenix	1.55	0.0829
Total	18.70

The U.S. population is about 300 million. The frequency of New York City residents in the U.S. population is about people. The relative frequency of New York City residents in the U.S. population is about .

In 1935, Harvard linguist George Zipf pointed out that the frequency of the kth most frequent word in a language is roughly proportional to 1/k. This implies that the second most frequent word in a language has a frequency one-half that of the most frequent word, the third most frequent word has a frequency one-third that of the most frequent word, and so on. A distribution that follows this rule is said to obey Zipf’s Law.

Zipf’s Law has been observed not only in word distributions, but in other phenomena as well, such as the populations of cities.

The frequency of the third most frequent word in the Brown Corpus is that of the most frequent word. The population of the third largest city in the United States is that of the largest city.

The frequency of the fifth most frequent word in the Brown Corpus is that of the most frequent word. The population of the fifth largest city in the United States is that of the largest city.

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