Q: What is an empty space or interval in a set of data?

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What is the convenient scale and interval to use for graphing each set of data set?

You find the the smallest and largest values. The interval is the largest minus the smallest.

In principle, yes. It may require interpolation within the central interval.

to find an interval you have to subtract the first two number from each other for example 5 10 15 20 the interval for this set of data is 5

A frequency diagram.

Related questions

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

You find the the smallest and largest values. The interval is the largest minus the smallest.

In principle, yes. It may require interpolation within the central interval.

The answer will depend on the data values: there is no rule that fits all situations.

to find an interval you have to subtract the first two number from each other for example 5 10 15 20 the interval for this set of data is 5

A frequency diagram.

Range tells you the interval in which the f(x) values are found.

A good way to assess what is a reasonable interval when graphing data is to see if there are any common factors in the data set. In this case 5, 10, 30, 40 and 20 are all clearly divisible by 5. Therefore, 5 would be a reasonable interval to use when graphing the data.

any interval subset of R is open and closed

To write an interval for the given data set, we need to find the range, which is the difference between the maximum and minimum values. The maximum value is 98 and the minimum value is 7, so the range is 98 - 7 = 91. An interval could be [0-100) since it covers the range from 0 to 100 but excludes 100. To find the scale, we need to determine the intervals between the data points. The scale could be 10 units per division, as this would evenly space out the data points and make it easier to visualize the distribution of the data.

If none of the numbers in a set of data are repeated you have two options: Options 1: leave the data set as it is and call every value a mode. One instance when the mode is hardly a useful measure. Option 2: Group the data and find the class interval with the highest frequency density. This would be the modal interval. Note, though, that the class intervals that you choose will influence the result.