Categorize these measurements associated with fishing according to level: nominal, ordinal, interval, or ratio.

If the question is the one that was mentioned below, the answers would be:

A. Nominal

B. Ratio

C. Interval (Ratio if it means time flow or rate)

D. Ordinal

E. Ratio

F. Interval (Ratio if it is in Kelvin)

Explanation:

Categorize these measurements associated with fishing according to the level; nominal, Ordinal, Interval, or ratio.

(A) Kinds of fish is caught; preach, bass, trout, pike

(b) cost of the rod and reel

(c) Time to return home

(d) guidebook rating of fishing areas; poor, fair, good.

(E) Number of fish caught

(f) temperate of water

There are 4 types of measurement scales:

This type of scale is basically categorical. It does not involve quantities or numerical values. The data are labels, such as in your example, types of fish. It identifies data based on categorical qualities.

Ordinal scales show us no quantities as well, but unlike nominal, it shows the order of the variables. In other words, it can give you a relative position of the data in a scale of measurement. Example would be ratings like in the problem above. If it is rated poor, you know it is less than fair and good, but you do not know how much less than the other.

This is where you might get confused. Interval data gives numerical values and measurable distances, but there is no "true" zero. This means that although interval data can give you the distance between two data points, it cannot give you a starting point. An example of this is temperature in Fahrenheit or in Celsius. There is a range between different temperatures, but it can go below zero, meaning the zero here is also part of the interval but not the start.  Time location like 12:00 or 2:30 is also an interval scale because there is no starting point when it comes to the intervals between each time.

The difference between ratio and interval is that ratio scales have a true zero. This means that things are measured from a starting point of 0. LIke height, weight, cost. The distance from the starting point to the next data point is measureable. Like number of fish, in terms of your problem. You could have caught no fish which is zero. You could have caught 2 or 3, which you can say, that 2 is less than 3 which gives it a value.