The variable Weight (lb. or kg) is measured on a scale of measurement Interval Ratio Nominal Ordinal.

Interval Ratio

Step-by-step explanation:

In statistics, the level of measurement used for a variable determines the what summary statistics and analysis are possible. There are three types of level of measurement.

Nominal

Ordinal

Interval/ Ratio

The nominal is the most basic level of measurement. It is known as categorical or qualitative. Examples includes, numbers,color, sex.  Nominal can be stored as a word or text  or given a numerical code.However, the number do not imply order. They are usually expressed in percentage

Ordinal  are variables based on ranks, they are usually have a meaningful order but the intervals between the variables may not be equal. They are usually expressed in frequencies.

The interval/ratio level of measurement  is the most precise level of measurement. Data can be measured and ordered. Examples include, number of customers, age, weight or size. Interval / Ratio data is also known as scale, parametric or quantitative. Interval / Ratio can be discrete  with whole numbers or continuous with fractional numbers.

john has 55 candy left.

solution:

as, mean is defined as sum of all the observations divided by total number of observations.

and , median is mid value of the data whether arranged in ascending order or descending order.

consider, roadsters:

2,3,4,5,6,7,8,9

mean =

also, median= , because number of observations is even, so median is mean of two mid values.

now, coming to bandits

2,3,4,5,6

mean =  

median = 4, as number of observations is odd.

so, roadsters has greater median as well mean than bandits.

→option a is true about the repairs performed on 2 types of cars:

bandits have lower median and mean than roadsters.