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.
Scale refers to the range or extent of values represented in a table, indicating how much data is covered, such as from 0 to 100. Interval size, on the other hand, defines the specific spacing or distance between consecutive data points or categories within that scale, such as increments of 10 or 5. Essentially, scale provides the overall context, while interval size details the granularity of the data representation.
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
The time and the temperature
Hourly temperature
A scale of 1 is appropriate for the x-axis when the data being represented has a uniform or equal interval, allowing for clear comparison between values. This scale helps to maintain proportionality and ensures that the visual representation accurately reflects the differences among the data points. Additionally, using a scale of 1 can simplify interpretation, making it easier for viewers to grasp the relationships and trends in the data.
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
It is Ordinal:Order the data from smallest to largest or "worst" to "best".Each data value can be compared with another data value.