/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 6 The U.S. Open Golf Tournament wa... [FREE SOLUTION] | 91Ó°ÊÓ

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The U.S. Open Golf Tournament was played at Congressional Country Club, Bethesda, Maryland, with prizes ranging from \(\$ 465,000\) for first place to \(\$ 5000\). Par for the course was \(70 .\) The tournament consisted of four rounds played on different days. The scores for each round of the 32 players who placed in the money (more than \(\$ 17,000\) ) were given on a web site. For more information, visit the Brase/Brase statistics site at http://www.cengage.com/statistics/brase and find the link to golf. The scores for the first round were as follows: \(\begin{array}{lllllllllll}71 & 65 & 67 & 73 & 74 & 73 & 71 & 71 & 74 & 73 & 71 \\ 70 & 75 & 71 & 72 & 71 & 75 & 75 & 71 & 71 & 74 & 75 \\ 66 & 75 & 75 & 75 & 71 & 72 & 72 & 73 & 71 & 67 & \end{array}\) The scores for the fourth round for these players were as follows: \(\begin{array}{lllllllllll}69 & 69 & 73 & 74 & 72 & 72 & 70 & 71 & 71 & 70 & 72 \\ 73 & 73 & 72 & 71 & 71 & 71 & 69 & 70 & 71 & 72 & 73 \\ 74 & 72 & 71 & 68 & 69 & 70 & 69 & 71 & 73 & 74 & \end{array}\) (a) Make a stem-and-leaf display for the first-round scores. Use two lines per stem. (See Problem 5.) (b) Make a stem-and-leaf display for the fourth-round scores. Use two lines per stem. (c) Compare the two distributions. How do the highest scores compare? How do the lowest scores compare?

Short Answer

Expert verified
First-round scores show a tighter distribution between 71 and 75, with a lower minimum. Fourth-round scores have a similar range but more scores near 69-71.

Step by step solution

01

Organize First-Round Scores

To create a stem-and-leaf plot for the first round scores, we first organize the scores in ascending order: 65, 66, 67, 67, 70, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 72, 72, 72, 73, 73, 73, 73, 74, 74, 74, 75, 75, 75, 75, 75, 75, 75.
02

Construct Stem-and-Leaf Plot for First Round

For the first round, use two lines per stem: - Stems: Based on tens digits (6 and 7) - Leaves: Based on units digits ``` 6 | 5 6 | 6, 7, 7 7 | 0, 1, 1, 1, 1, 1, 1, 1, 1 7 | 2, 2, 2 7 | 3, 3, 3, 3 7 | 4, 4, 4 7 | 5, 5, 5, 5, 5, 5, 5 ```
03

Organize Fourth-Round Scores

To create a stem-and-leaf plot for the fourth-round scores, we first organize the scores in ascending order: 68, 69, 69, 69, 69, 70, 70, 70, 71, 71, 71, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 73, 73, 73, 73, 74, 74, 74.
04

Construct Stem-and-Leaf Plot for Fourth Round

For the fourth round, use two lines per stem: - Stems: Based on tens digits (6 and 7) - Leaves: Based on units digits ``` 6 | 8, 9, 9, 9, 9 7 | 0, 0, 0 7 | 1, 1, 1, 1, 1, 1, 1, 1 7 | 2, 2, 2, 2, 2 7 | 3, 3, 3, 3 7 | 4, 4, 4 ```
05

Compare Distributions

Comparing both plots: - Highest scores: First round has more scores in the 74-75 range compared to the fourth round. - Lowest scores: Fourth round has slightly lower scores with scores of 68 and 69, while the first round's lowest score is 65, but with more scores around 70-71.

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Key Concepts

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

Statistical Comparison
When tackling a comparison between two sets of data, like the golf scores from the first and fourth rounds of a tournament, statistical comparison plays a vital role. It allows us to discern patterns and differences that would otherwise be difficult to spot.
By using simple tools such as stem-and-leaf plots, we can easily make these comparisons. Stem-and-leaf plots organize data, making it easy to see where scores are concentrated.
In comparing the highest scores from both rounds, we notice that more players scored in the higher 74-75 range in the first round, hinting that conditions or player performance might have been tougher in the fourth round.
  • Highest first-round scores were 74 and 75
  • Highest fourth-round scores were around 73 and 74
These subtle numerical differences indicate varying levels of difficulty or player fatigue and can have profound implications in understanding how scores fluctuate over the progression of a tournament.
Data Organization
Data organization is a fundamental skill in statistics that helps in transforming raw data into meaningful information. It involves arranging data so that it can be analyzed effectively. In exercises like organizing golf scores, using a stem-and-leaf plot is beneficial.
The stem-and-leaf plot is especially useful because it retains the original data while also giving a quick view of its distribution.
  • Stems represent the tens digit of scores.
  • Leaves represent the units digit.
For instance, in organizing the first round scores, we see several players tightly grouped around the par of 70 with multiple scores of 71, which highlights the common performance level.
In contrast, for the fourth round, grouping showed more diversity with scores stretching down to 68, indicating a shift in player performance or conditions.
Distribution Analysis
Analyzing the distribution of data is crucial in understanding how data behaves over a set of conditions, like rounds in a golf tournament. Distribution analysis involves looking at how frequently each score occurs, which gives insight into central tendencies and variabilities.
In the given golf scores scenario, distribution analysis through stem-and-leaf plots shows us that:
  • First round had a concentration of scores at 71, showing it as a common score.
  • Fourth round showed more spread, with a wider range of lower-end scores.
The analysis also reveals scores' spread and central tendency. For example, in the first round, scores like 74 and 75 were more common compared to the fourth round where low scores like 68 were more frequent.
Understanding this distribution helps in exploring factors that might influence players' performances, like weather conditions or psychological pressure during the final rounds of a tournament.

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Most popular questions from this chapter

It is costly in both time and money to go to college. Does it pay off? According to the Bureau of the Census, the answer is yes. The average annual income (in thousands of dollars) of a housebold headed by a person with the stated education level is as follows: \(16.1\) if ninth grade is the highest level achieved, \(34.3\) for high school graduates, \(48.6\) for those holding associate degrees, \(62.1\) for those with bachelor's degrees, \(71.0\) for those with master's degrees, and \(84.1\) for those with doctoral degrees. Make a bar graph showing household income for each education level.

A data set with whole numbers has a low value of 10 and a high value of 120 . Find the class width and class limits for a frequency table with 5 classes.

The following data represent tonnes of wheat harvested each year (1894-1925) from Plot 19 at the Rothamsted Agricultural Experiment Stations, England. \(\begin{array}{lllllllllll}2.71 & 1.62 & 2.60 & 1.64 & 2.20 & 2.02 & 1.67 & 1.99 & 2.34 & 1.26 & 1.31 \\ 1.80 & 2.82 & 2.15 & 2.07 & 1.62 & 1.47 & 2.19 & 0.59 & 1.48 & 0.77 & 2.04 \\ 1.32 & 0.89 & 1.35 & 0.95 & 0.94 & 1.39 & 1.19 & 1.18 & 0.46 & 0.70 & \end{array}\) (a) Multiply each data value by 100 to "clear" the decimals. (b) Use the standard procedures of this section to make a frequency table and histogram with your whole-number data. Use six classes. (c) Divide class limits, class boundaries, and class midpoints by 100 to get back to your original data values.

A data set has values ranging from a low of 10 to a high of 52\. What's wrong with using the class limits \(10-19,20-29,30-39,40-49\) for a frequency table?

You are manager of a specialty coffee shop and collect data throughout a full day regarding waiting time for customers from the time they enter the shop until the time they pick up their order. (a) What type of distribution do you think would be most desirable for the waiting times: skewed right, skewed left, mound-shaped symmetrical? Explain. (b) What if the distribution for waiting times were bimodal? What might be some explanations?

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