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 1.1.38
Textbook Question
Determine whether the number describes a population parameter or a sample statistic. Explain your reasoning.
In January 2021, 54% of the governors of the 50 states in the United States were Republicans. (Source: National Governors Association)

1
Identify the key terms in the problem: 'population parameter' refers to a numerical value that describes a characteristic of an entire population, while 'sample statistic' refers to a numerical value that describes a characteristic of a subset (sample) of the population.
Examine the context of the problem: The problem states that the percentage (54%) is based on all 50 governors of the United States. This indicates that the data includes the entire population of governors, not just a subset.
Determine whether the number represents a population parameter or a sample statistic: Since the data includes all 50 governors, the percentage (54%) describes a characteristic of the entire population of governors.
Explain the reasoning: A population parameter is used when the data represents the entire population. In this case, the 54% is a population parameter because it is based on all governors, not a sample.
Conclude: The number 54% describes a population parameter because it summarizes a characteristic of the entire population of U.S. state governors in January 2021.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Population Parameter
A population parameter is a numerical value that summarizes a characteristic of an entire population. In statistics, it is often denoted by symbols such as 'μ' for the mean or 'p' for the proportion. For example, the percentage of all governors in the U.S. who are Republicans represents a population parameter because it refers to the entire group of governors across all states.
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Sample Statistic
A sample statistic is a numerical value that summarizes a characteristic of a sample, which is a subset of the population. It is used to estimate the corresponding population parameter. For instance, if we surveyed a few governors and found that 54% of them were Republicans, this would be a sample statistic, as it is derived from a smaller group rather than the entire population of governors.
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Distinction Between Parameter and Statistic
Understanding the distinction between a population parameter and a sample statistic is crucial in statistics. A parameter describes a whole population, while a statistic describes a sample drawn from that population. In the given question, the 54% figure refers to all governors, making it a population parameter, as it does not derive from a sample but rather encompasses the entire group.
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