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Journal of Statistics Education Volume 17, 2009 - Issue 2
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Original Articles

How LO can You GO? Using the Dice-Based Golf Game GOLO to Illustrate Inferences on Proportions and Discrete Probability Distributions

Paul StephensonGrand Valley State UniversityCorrespondence[email protected]
,
Mary RichardsonGrand Valley State UniversityCorrespondence[email protected]
,
John GabrosekGrand Valley State UniversityCorrespondence[email protected]
&
Diann ReischmanGrand Valley State UniversityCorrespondence[email protected]
| Published online: 29 Aug 2017

Figures & data

Figure 1. Some Common Golf Scores

Figure 1. Some Common Golf Scores

Figure 2. The GOLO Game

Figure 2. The GOLO Game

Table 1. Example individual data collection table.

Table 2. Example comparison of theoretical and empirical cumulative distributions.

Figure 3. Example Class Stem-and-Leaf Plots

Figure 3. Example Class Stem-and-Leaf Plots

Figure 4. Example Class Comparative Boxplots

Figure 4. Example Class Comparative Boxplots

Figure 5. Example Class 80% Confidence Intervals

Figure 5. Example Class 80% Confidence Intervals

Figure 6. Example Class 99% Confidence Intervals

Figure 6. Example Class 99% Confidence Intervals

Figure 7. Example Class P-Values

Figure 7. Example Class P-Values

Figure 8. Example Class P-Values

Figure 8. Example Class P-Values

Table 3. Example individual data collection table.

Table 4. Example comparison of theoretical and empirical cumulative distributions.

Table 5. Theoretical cumulative distribution.

Table 6. Theoretical cumulative distribution.

Table 7. Computed values associated with the first order statistic.

Figure 9. Example Demonstration of the Law of Large Numbers

Figure 9. Example Demonstration of the Law of Large Numbers

Table

Theoretical vs. Empirical Cumulative Distributions

Individual Empirical Results

Individual Data Table

Class Data

Theoretical vs. Empirical Cumulative Distributions

Individual Empirical Results

Theoretical Cumulative Distribution

Theoretical Cumulative Distribution

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