The data from "the weight of family pet" is at which level of measurement ?

Question

BlackTom AI · Accepted Answer

When determining the level of measurement for a variable, it helps to recall the four classic levels: nominal, ordinal, interval, and ratio.

For the data described as 'the weight of family pet', several key features support the ratio level. Weight is a quantitative measure with equal units (e.g., kilograms or pounds), so differences between values are meaningful and consistent across the scale.

Crucially, weight has a true zero point in the sense that zero weight corresponds to the absence of weight. This allows for meaningful statements about ratios (e.g., one weight being twice another), which is a hallmark of ratio data.

To contrast with other levels:
- Nominal data categorize without any order or distance between categories (not applicable for weight).
- Ordinal data impose a ranking without guaranteed equal intervals (not applicable for weight, which has equal-interval properties).
- Interval data have equal intervals but lack a true zero (temperatures in Celsius/Fahrenheit are examples), so they cannot support meaningful ratio comparisons; weight does have a true zero via the absence of weight.

Therefore, the weight of a family pet is best described as ratio level data, because it has ordered, equally spaced values and a true zero point that enables meaningful ratios.

254_MTH2310 STATISTICS 1

The data from "the weight of family pet" is at which level of measurement ?

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