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
1. Intro to Stats and Collecting Data
Intro to Stats
Problem 1.2.33a
Textbook Question
Countable For each of the following, categorize the nature of the data using one of these three descriptions: (1) discrete because the number of possible values is finite; (2) discrete because the number of possible values is infinite but countable; (3) continuous because the number of possible values is infinite and not countable.
a. Exact lengths of the feet of members of the band the Monkees

1
Understand the concept of discrete and continuous data. Discrete data can be counted and has distinct values, while continuous data can take any value within a range and is measured.
Consider the nature of the data: 'Exact lengths of the feet of members of the band the Monkees'. Length is a measurement that can take any value within a range, such as centimeters or inches.
Recognize that measurements like length are typically continuous because they can be infinitely divided into smaller units (e.g., 25.1 cm, 25.12 cm, etc.).
Continuous data is characterized by the ability to take on any value within a given interval, making it infinite and not countable.
Conclude that the exact lengths of the feet are continuous data because they can take any value within a range and are not countable.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Discrete Data
Discrete data refers to data that can take on a finite number of values. This type of data is often countable, such as the number of students in a classroom or the number of cars in a parking lot. Discrete data can also be infinite but still countable, like the number of times a coin is flipped until it lands on heads.
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Continuous Data
Continuous data represents measurements that can take on an infinite number of values within a given range. This type of data is not countable and can include any value, such as the exact height of individuals or the temperature in a room. Continuous data is typically measured rather than counted, allowing for fractions and decimals.
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Countability
Countability refers to whether a set of values can be counted or not. A set is countable if its elements can be matched one-to-one with the natural numbers, meaning it can be finite or infinite but still countable. In contrast, uncountable sets, like the real numbers, cannot be matched with natural numbers, indicating an infinite number of values that cannot be enumerated.
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