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.RE.7a
Textbook Question
State Populations Currently, California has the largest population with 39,776,830 residents, and Wyoming has the smallest population with 573,520 residents.
a. Are the population sizes of the different states discrete or continuous?

1
Understand the difference between discrete and continuous data: Discrete data can only take specific values (often counts), while continuous data can take any value within a range.
Consider the nature of population data: Population counts are whole numbers, as you cannot have a fraction of a person.
Recognize that population sizes are counts of individuals, which are specific and separate values.
Conclude that since population sizes are counts of individuals, they are discrete data.
Remember that discrete data often involves counting distinct items, whereas continuous data involves measuring and can take any value within a range.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Discrete vs. Continuous Data
Discrete data refers to countable quantities, often represented by whole numbers, such as the number of people. Continuous data, on the other hand, can take any value within a range and is often measured, like height or temperature. Understanding whether data is discrete or continuous helps in choosing the appropriate statistical methods for analysis.
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Visualizing Qualitative vs. Quantitative Data
Population Count
Population count is a discrete measure because it involves counting the number of individuals in a given area, such as a state. Each individual is a distinct unit, making the total population a whole number. This concept is crucial for understanding how population data is categorized and analyzed in statistics.
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Fundamental Counting Principle
Statistical Data Types
Statistical data types are classifications that help in organizing and analyzing data. They include nominal, ordinal, interval, and ratio data. Population size is a ratio data type because it has a true zero point and allows for meaningful comparisons using multiplication and division, such as calculating population density or growth rates.
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Types of Data
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