## How do we measure the time?

In fact, there’s a fundamental circularity in the way we measure time. The time that is measured by a clock is itself produced by that clock. The clock’s time is independent of the flow of the seasons or the cycle of day and night, and is independent of the clock’s location on earth.

## How do you decide which unit of measurement to use?

When measuring length, very small things should be measured in millimeters. Objects larger than 10 mm but smaller than a meter should be measured using centimeters, and objects larger than a meter should be measured using meters. Very large distances should be measured in units of kilometers.

## What is the convenient unit to measure the distance between two cities or village?

What is the convenient unit to measure the distance between two cities or villages? Ans. Kilometre (1 km = 1000 m).

## What is ratio scale and example?

Ratio scale is a type of variable measurement scale which is quantitative in nature. Ratio scale allows any researcher to compare the intervals or differences. This is a unique feature of ratio scale. For example, the temperature outside is 0-degree Celsius. 0 degree doesn’t mean it’s not hot or cold, it is a value.

## What is ratio data example?

An excellent example of ratio data is the measurement of heights. Height could be measured in centimeters, meters, inches, or feet. It is not possible to have a negative height. When comparing to interval data, for example, the temperature can be – 10-degree Celsius, but height cannot be negative, as stated above.

## Is ratio qualitative or quantitative?

Unlike nominal- and ordinal-level data, which are qualitative in nature, interval- and ratio-level data are quantitative. Examples of interval level data include temperature and year. Examples of ratio level data include distance and area (e.g., acreage).

## Is age an example of ratio data?

Age is frequently collected as ratio data, but can also be collected as ordinal data.

## Is percentage nominal or ordinal?

Typical descriptive statistics associated with nominal data are frequencies and percentages. Ordinal level variables are nominal level variables with a meaningful order. For example, horse race winners can be assigned labels of first, second, third, fourth, etc.

## Is ZIP code nominal or ordinal?

“Zip Code” is a nominal variable whose values are represented by numbers. B. Ordinal variables are variables whose values have a natural order. If they are represented as numbers, the order of the numerical values should reflect the natural ordering.