Differences on an ordinal rating scale are proportional to differences on an underlying interval scale.

Ordinal scales preserve the order of the values, but not the differences between values.
false
false
true
true
false
For the default (original) values,

Ordinal scales preserve the order of the values, but not the differences between values.
false
true
Brand 2 is sweeter when measured on an interval scale as well as when measured on an ordinal rating scale.
false
Brand 2 is sweeter when measured on an interval scale but Brand 1 is sweeter when measured on an ordinal rating scale.
Compare the means for the brands on both the interval scale and rating scale. Higher scores mean higher sweetness.
false
Brand 1 is sweeter when measured on an interval scale but Brand 2 is sweeter when measured on an ordinal rating scale.
Compare the means for the brands on both the interval scale and rating scale. Higher scores mean higher sweetness.
For the interval scores, Brand 2 is sweeter (mean of 55 versus mean of 50). For the rating scale,
Brand 2 is sweeter (mean of 3.23 versus mean of 2.54).
Changing the default (original) values so that the cutoff between a rating of 1 and a rating of 2 so that it is 39 rather than 43 changes the mean rating for Brand 1 from 2.54 to

Move the vertical line separating the ratings of 1 and 2 from 43 to 39 and look at the mean for Brand 1 on the rating scale.
2.77
.005
2.77
Changing the cutoffs for the ratng scale very rarely, if ever, makes Brand 1 get a higher sweetness rating than Brand 2.

Ordinal scales preserve the order of the values, but not the differences between values.
false
true
true
false
false
Try many changes to the cutoffs and see if you can get Brand 1 to be sweeter.
For these data, Brand 2 will always be sweeter. It is possible (but very difficult) to change the data and the cutoffs so that Brand 1 has a higher mean on the interval scale while Brand 2 has a higher mean on the rating scale. See if you can find such an example of this.
Check all that are correct. A difference between the means of two groups on an ordinal rating scale

For all but the most extraordinary situations, differences between means on interval scales are meaningful. However, in extreme circumstances, it is possible for the difference on an ordinal scale to be in the oppostite direction from the difference on an interval scale.
false
true
will usually reflect a valid difference between groups.
false
is typically impossible to interpret.
true
can be in the opposite direction of the "true" difference between means.
false
is nonsense and should not be computed.