Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
5. Binomial Distribution & Discrete Random Variables
Discrete Random Variables
Problem 4.1.11
Textbook Question
Graphical Analysis In Exercises 9–12, determine whether the graph on the number line represents a discrete random variable or a continuous random variable. Explain your reasoning.
The distance a baseball travels after being hit


1
Step 1: Understand the concept of discrete and continuous random variables. A discrete random variable takes on a countable number of distinct values, while a continuous random variable can take on any value within a given range.
Step 2: Analyze the context of the problem. The distance a baseball travels after being hit is measured in feet, which can take on any value within a range (e.g., 0 to 600 feet). This suggests the variable is not limited to specific, countable values.
Step 3: Examine the graph provided. The number line shows a continuous range of distances, and there are no gaps or specific points that restrict the values the distance can take.
Step 4: Reason through the nature of the variable. Since the distance can be measured to any level of precision (e.g., 450.5 feet, 450.55 feet, etc.), it aligns with the definition of a continuous random variable.
Step 5: Conclude that the graph represents a continuous random variable because the distance a baseball travels can take on any value within the range, and it is not restricted to discrete, countable values.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Discrete Random Variable
A discrete random variable is one that can take on a countable number of distinct values. Examples include the number of students in a classroom or the number of goals scored in a game. In graphical representations, discrete variables are often depicted with distinct points or bars, indicating specific outcomes.
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Continuous Random Variable
A continuous random variable can take on an infinite number of values within a given range. This means it can represent measurements that can be subdivided infinitely, such as height, weight, or distance. Graphically, continuous variables are represented by a smooth line or curve, indicating that any value within the range is possible.
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Graphical Representation
Graphical representation is a visual way to display data, which helps in understanding the nature of the variable being analyzed. In the context of random variables, a number line can illustrate whether the variable is discrete (with distinct points) or continuous (with a continuous range). Analyzing the graph allows one to determine the type of random variable based on how the values are presented.
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