Answer:
Nominal, Ordinal, interval or Ratio scale, Nominal.
Step-by-step explanation:
In Statistics, we can assort qualitative variables as nominal, for non-numerical values (Good, Yes, Man, Woman, Excellent, Tall, etc.). For numerical ones, we can rank them orderly, id est, ordinal (1st, 2nd, 3rd, 4th, etc.). Moreover, we can also categorize some numerical variables as an interval or ratio scale (90º F, 6' 2'' etc.).
Examining each one:
1. Would your overall rating of this tour be excellent, good, fair, or poor? <u>Nominal. </u>
These are not numerical. These are qualitative classification.
2. How many escorted vacations have you taken prior to this one?
<u>Ordinal</u>. The 1st, 2nd, 3rd, etc.
3. What is the current temperature outside? <u>Interval or Ratio Scale</u>
This is a classic Interval classification example. Since the temperature is graded in intervals then this an Interval.
4. Do you feel that the stay in New York was sufficiently long? Nominal.
Another non-numerical classification
