UNDERSTANDABLE STATISTICS(LL)/ACCESS
UNDERSTANDABLE STATISTICS(LL)/ACCESS
12th Edition
ISBN: 9781337805094
Author: BRASE
Publisher: CENGAGE L
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Chapter 2.1, Problem 20P

a.

To determine

Calculate the class width for the data on count of three-syllable words in advertising copy of magazine advertisements.

a.

Expert Solution
Check Mark

Answer to Problem 20P

The class width is calculated as 6.

Explanation of Solution

Calculation:

From the given data set, the largest data point is 43 and the smallest data point is 0.

Class Width:

The class width is calculated as follows:

Class width=(Largest data pointSmallest data point)Number of classes=(430)8=5.376

b.

To determine

Create a table for frequency distribution with class limits, class boundaries, midpoints, frequencies, relative frequencies, and cumulative frequencies.

b.

Expert Solution
Check Mark

Answer to Problem 20P

The class limits for a frequency table with 8 classes using class width 6 are 0-5, 6-11, 12-17, 18-23, 24-29, 30-35, 36-41, and 42-47.

Explanation of Solution

Class limits:

Class limits are the maximum and minimum values in the class interval

Class Boundaries:

A class boundary is the midpoint between the upper limit of one class and the lower limit of the next class where the upper limit of the preceding class interval and the lower limit of the next class interval will be equal. The upper class boundary is calculated by adding 0.5 to the upper class limit and the lower class boundary is calculated by subtracting 0.5 from the lower class limit.

Midpoint:

The midpoint is calculated as given below:

Midpoint=(Lower class limit+Upper class limit)2

Frequency:

Frequency is the number of data points that fall under each class.

Cumulative frequency:

Cumulative frequency is calculated by adding each frequency to the sum of preceding frequencies.

Relative Frequency:

Relative frequency is the ratio of frequency by the total number of data values.

The class width is 6. Hence, the lower class limit for the second class 6 is calculated by adding 6 to 0. Following this pattern, all the lower class limits are established. Then, the upper class limits are calculated.

The frequency distribution table is given below:

Class LimitsClass BoundariesMidpointsFrequencyRelative FrequencyCumulative Frequency
0-50.5-5.5

2.5

131355=0.2413
6-115.5-11.58.5151555=0.2728 (=15+13)
12-1711.5-17.514.5111155=0.2039 (=11+28)
18-2317.5-23.520.53355=0.0542 (=3+39)
24-2923.5-29.526.56655=0.1148 (=6+42)
30-3529.5-35.532.54455=0.0752 (=4+48)
36-4135.5-41.538.52255=0.0454 (=2+52)
42-4741.5-47.544.51155=0.0255 (=1+54)

c.

To determine

Create a histogram for the given data on count of three-syllable words in advertising copy of magazine advertisements.

c.

Expert Solution
Check Mark

Answer to Problem 20P

The frequency histogram for the data on count of three-syllable words in advertising copy of magazine advertisements is shown below:

UNDERSTANDABLE STATISTICS(LL)/ACCESS, Chapter 2.1, Problem 20P , additional homework tip  1

Explanation of Solution

Step-by-step procedure to draw the histogram using MINITAB software:

  • Choose Graph > Bar Chart.
  • From Bars represent, choose Values from a table.
  • Under One column of values, choose Simple. Click OK.
  • In Graph variables, enter the column of Frequency.
  • In Categorical variables, enter the column of Three-syllable Words.
  • Click OK.

Thus, the histogram for three-syllable word data is obtained.

d.

To determine

Construct a relative frequency histogram for the data on count of three-syllable words in advertising copy of magazine advertisements.

d.

Expert Solution
Check Mark

Answer to Problem 20P

The relative frequency histogram for the data on count of three-syllable words in advertising copy of magazine advertisements is shown below:

UNDERSTANDABLE STATISTICS(LL)/ACCESS, Chapter 2.1, Problem 20P , additional homework tip  2

Explanation of Solution

Step-by-step procedure to draw the histogram using MINITAB software:

  • Choose Graph > Bar Chart.
  • From Bars represent, choose Values from a table.
  • Under One column of values, choose Simple. Click OK.
  • In Graph variables, enter the column of Relative frequency.
  • In Categorical variables, enter the column of Three-syllable Words.
  • Click OK.

Thus, the relative frequency histogram for three-syllable word data is obtained.

e.

To determine

Identify the shape of distribution: uniform, mound shaped, symmetric, bimodal, skewed left, or skewed right.

e.

Expert Solution
Check Mark

Explanation of Solution

From the histogram, the distribution of count of three-syllable words in advertising copy of magazine advertisements is skewed to the right.

f.

To determine

Create an ogive curve for the given data on count of three-syllable words in advertising copy of magazine advertisements.

f.

Expert Solution
Check Mark

Answer to Problem 20P

An ogive curve for the count of three-syllable words in advertising copy of magazine advertisements is shown below:

UNDERSTANDABLE STATISTICS(LL)/ACCESS, Chapter 2.1, Problem 20P , additional homework tip  3

Explanation of Solution

Step-by-step procedure to draw the Ogive curve:

  • Draw X axis with data values ranging from -0.5 to 47.5.
  • Label the X axis as Number of Words.
  • Draw Y axis with data values Cumulative frequency ranging from.0 to 60.
  • Label the Y axis as Cumulative frequency.
  • Plot the cumulative frequencies
  • Join the points and draw an ogive curve.

Thus, an ogive curve for three-syllable word data is obtained.

g.

To determine

Identify the characteristics about the count of three-syllable words in advertising copy of magazine advertisements using the graphs.

g.

Expert Solution
Check Mark

Explanation of Solution

The data values of count of three-syllable words in advertising copy of magazine advertisements fall within 0 and 43.

The range of the data is given below:

Range=(Largest value-Smallest value)=430=43

The central value of the data is approximately 11.5.

From the histogram, it can be observed that the data is skewed to the right and there are no unusual observations in the data as not even one data point is far from the overall bulk of data.

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Chapter 2 Solutions

UNDERSTANDABLE STATISTICS(LL)/ACCESS

Ch. 2.1 - Interpretation Histograms of random sample data...Ch. 2.1 - Prob. 12PCh. 2.1 - Interpretation The ogives shown are based on U.S....Ch. 2.1 - Prob. 14PCh. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - Prob. 18PCh. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - Prob. 20PCh. 2.1 - Expand Your Knowledge: Decimal Data The following...Ch. 2.1 - Decimal Data: Batting Averages The following data...Ch. 2.1 - Expand Your Knowledge: Dotplot Another display...Ch. 2.1 - Prob. 24PCh. 2.1 - Dotplot: Tumor Recurrence Make a dotplot for the...Ch. 2.2 - Interpretation Consider graph (a) of Reasons...Ch. 2.2 - Reasons People Like Texting on Cell Phones (b)...Ch. 2.2 - Critical Thinking A personnel office is gathering...Ch. 2.2 - Prob. 4PCh. 2.2 - Education: Does College Pay Off? It is costly in...Ch. 2.2 - Prob. 6PCh. 2.2 - Commercial Fishing: Gulf of Alaska Its not an easy...Ch. 2.2 - Prob. 8PCh. 2.2 - Lifestyle: Hide the Mess! A survey of 1000 adults...Ch. 2.2 - Prob. 10PCh. 2.2 - FBI Report: Hawaii In the Aloha state, you are...Ch. 2.2 - Prob. 12PCh. 2.2 - Prob. 13PCh. 2.2 - Prob. 14PCh. 2.2 - Prob. 15PCh. 2.2 - Prob. 16PCh. 2.3 - Cowboys: Longevity How long did real cowboys live?...Ch. 2.3 - Ecology: Habitat Wetlands offer a diversity of...Ch. 2.3 - Health Care: Hospitals The American Medical...Ch. 2.3 - Health Care: Hospitals Using the number of...Ch. 2.3 - Expand Your Knowledge: Split Stem The Boston...Ch. 2.3 - Prob. 6PCh. 2.3 - Prob. 7PCh. 2.3 - Prob. 8PCh. 2.3 - Prob. 9PCh. 2.3 - Prob. 10PCh. 2 - Prob. 1CRPCh. 2 - Critical Thinking A consumer interest group is...Ch. 2 - Prob. 3CRPCh. 2 - Prob. 4CRPCh. 2 - Prob. 5CRPCh. 2 - Prob. 6CRPCh. 2 - Prob. 7CRPCh. 2 - Prob. 8CRPCh. 2 - Prob. 9CRPCh. 2 - Prob. 10CRPCh. 2 - Prob. 11CRPCh. 2 - Prob. 12CRPCh. 2 - Prob. 1DHCh. 2 - Prob. 2DHCh. 2 - In your own words, explain the differences among...Ch. 2 - What do we mean when we say a histogram is skewed...Ch. 2 - Discuss the statement that stem-and-leaf displays...Ch. 2 - Prob. 1UTCh. 2 - Prob. 2UTCh. 2 - Prob. 3UT
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