During class we distinguished between

Question

BlackTom AI · Accepted Answer

The question presented is: 'During class we distinguished between'. The provided data lists only one proposed answer: 'population and sample quantities'.

Since there are no alternative answer choices shown, we cannot compare options. However, we can discuss the meaning of the given option and why it might be considered the distinguishing pair in a typical statistics context.

Option assessment:
- 'population and sample quantities': This phrase seems to refer to the types of quantities discussed in sampling and inference. In many statistics courses, students distinguish between quantities that describe the entire group (the population) and quantities that describe a subset (the sample). Practically, this often maps to distinguishing between population parameters (characteristics of the whole population) and sample statistics (characteristics calculated from the sample). If the class is differentiating between quantities that pertain to the whole group versus those that pertain to the observed subset, this framing captures an essential distinction widely used in introductory statistics.

Notes on potential nuance (addressing possible misalignment):
- In standard terminology, the terms typically used are 'parameters' for population quantities and 'statistics' for sample quantities. The option uses 'quantities' rather than the precise terms 'parameters' and 'statistics', but the underlying distinction (population versus sample) is the core idea. If the intention was to emphasize the exact standard terminology, some instructors might prefer 'parameters vs statistics' rather than the broader 'quantities'.

Because no alternative options are provided here, there is no basis to critique other choices. If other options existed, we would compare them in light of whether they correctly contrast population vs sample concepts (parameters vs statistics) and avoid conflating population with sample measures.

In summary, the given option aligns with a fundamental distinction taught in sampling and inference: quantities describing the population differ from those describing the sample, even if the wording could be tightened to match standard terminology.

MS MS Machine Learning (Georgios A Lentzas) SP2025 Quiz 1

During class we distinguished between

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