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Explain what these observations indicate about the degree of spread in each distribution, and identify the specific category of descriptive statistics the researcher uses to summarize this characteristic.
Case context: A student researcher is inspecting histograms for two different variable distributions. For the first variable, the researcher notes that all of the scores are similar and clustered tightly around the mean. For the second variable, the researcher notes that there is a lot of variability, with the scores being spread widely apart.
Question: Explain what these observations indicate about the degree of spread in each distribution, and identify the specific category of descriptive statistics the researcher uses to summarize this characteristic.
Sample answer: The observations indicate that the first distribution has a low degree of spread, while the second distribution has a high degree of spread. To formally describe this degree of spread or variability, the researcher uses measures of dispersion.
Key points:
- Explains that the first distribution has scores that are clustered together, indicating a low degree of spread.
- Explains that the second distribution has scores that are spread apart, indicating a high degree of spread.
- Identifies measures of dispersion as the appropriate category of descriptive statistics.
Rubric: The response must correctly interpret the spread in both distributions and correctly identify measures of dispersion as the category of descriptive statistics used to describe this spread.
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Research Methods in Psychology - 4th American Edition @ KPU
Related
Example of Variability in Distributions
Range
Variance
Standard Deviation
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