The answer will depend on the data values: there is no rule that fits all situations.
write an interval and a scale for the data set 55,30,78,98,7, and 45
The time and the temperature
A title.
A regular fequency table reports the exact frequency for each category on the scale of measurement. However, when the categories are grouped together into class intervals, the table only reports only overall frequency for the interval but will not show how many scores are in each of the individual categories.
Data comes in various sizes and shapes. Two of them are Interval and Ratio. Interval is a measurement where the difference between two values is meaningful and follows a linear scale. For example: in physics, temperature 0.0 on either F or C does not mean 'no temperature'; in biology, a pH of 0.0 does not mean 'no acidity'. Interval data is continuous data where differences are interpretable, ordered, and constant scale, but there is no 'natural' zero. Ratio is the relation in degree or number between two similar things or a relationship between two quantities, ordered, constant scale, with natural zero. Ratio data is interpretable. Ratio data has a natural zero. A good example is birth weight in kg. The distinctions between interval and ratio data are slight. Certain specialized statistics, such as a geometric mean and a coefficient of variation can only be applied to ratio data.
What is the convenient scale and interval to use for graphing each set of data set?
write an interval and a scale for the data set 55,30,78,98,7, and 45
Hourly temperature
The time and the temperature
Yes, it is a Continuous variable measured along an equidistant scale.
histogram
It depends on the domain and codomain (range) of he data.
A title.
5
32
It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.
If the information collected is nominative - eg what is your favourite colour - you have no choice but to use mode. A median may be an appropriate choice is there are outliers or if the data are on an ordinal but not in interval scale - eg small/medium/large or strongly disagree/disagree/agree/strongly agree.