Question at position 8 Which of the following gives the proportion of items in each bin?Bin proportionClass sizeRelative frequencyFrequencyClear my selection

Question

Question at position 8 Which of the following gives the proportion of items in each bin?Bin proportionClass sizeRelative frequencyFrequencyClear my selection

BlackTom AI · Accepted Answer

The question asks: Which of the following gives the proportion of items in each bin?
Option A: 'Bin proportion' — This term suggests a notion of proportion but is not the standard terminology used to describe the share of items per bin in a distribution. It’s vague and not the common label for proportions within bins, so this is not the best choice.
Option B: 'Class size' — In a frequency distribution, class size typically refers to the number of observations falling into a bin or class, i.e., the count, not the proportion. It measures quantity, not the relative share, so this option does not describe proportion.
Option C: 'Relative frequency' — This is the standard term for the proportion of items in each bin. Relative frequency is computed as the bin count divided by the total number of observations, yielding a proportion or percentage for each bin. This aligns exactly with the definition of proportion across bins.
Option D: 'Frequency' — Frequency usually denotes the raw count of items in a bin, not the proportion. It tells you how many observations fall into the bin, but not the share of the total that bin represents.
In summary, Option C correctly identifies relative frequency as the proportion corresponding to each bin, while the other options either refer to counts, general or ambiguous terms, or do not express proportion.

Question at position 8 Which of the following gives the proportion of items in each bin?Bin proportionClass sizeRelative frequencyFrequencyClear my selection

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