Here’s an example in R – Stat you can use to produce a frequency distribution range broken into intervals of 10.

> y
[1] 74 73 71 55 91 68 93 37 78 57 65 58 83 65 72 88 85 73 97 73 75 75 62 41 68
[26] 62 78 83 63 81 56 65 67 81 95 76 81 53 57 67 82 43 69 62 31 87 78 41 98 73

*** I created a column array y with the data values.

> range(y)
[1] 31 98

*** Range outputs the range of values which is [31,98].  31 is the minimum value in the range and 98 is the maximum value in the range.

> breaks = seq(30,100,by=10)

*** You can then use the breaks command to break the data into intervals of 10 beginning at 30 and ending at 100.  So the intervals are [30,40) [40,50) ….[90,100)

> breaks
[1]  30  40  50  60  70  80  90 100

*** Outputs the break intervals beginning at 30.

> y.cut = cut(y,breaks,right=FALSE)

*** The data is classified using the cut function into the break point intervals “breaks” and intervals are closed to the left and open on the right, therefore right=FALSE.

> y.freq = table(y.cut)

*** calculates the frequency of y in each interval using table function.

> y.freq

y.cut
[30,40)  [40,50)  [50,60)  [60,70)  [70,80)  [80,90) [90,100)
2        3        6       12       13        9        5

*** outputs the table, displaying this break intervals and the frequency of the y range of values for each interval. e.g. There are 2 values that fall in the range of [30 to 40) but less than 40.

> cbind(y.freq)

*** outputs the frequency distribution in a column format.

y.freq
[30,40)       2
[40,50)       3
[50,60)       6
[60,70)      12
[70,80)      13
[80,90)       9
[90,100)      5

> barplot(y.freq,ylim=c(0,15))

A barplot showing the frequency distribution of values at each interval of 10 beginning at 30 and ending at 100.  The y-axis is from 0 to 15.