Frequency Percent
Valid Percent
Cumulative
Percent
none-
weak
87
60.4
60.4
60.4
moderate 37
25.7
25.7
86.1
Strong
20
13.9
13.9
100.0
Valid
Total
144
100.0
100.0
Though our mode and median are the same, we will use the mode to describe the data. The
mode is the best way to describe this variable because the median is to represent the 50% mark of the
data, but more than 50% of our data falls into the none- weak category as shown in the chart above.
The histogram below further reiterates the distribution of the data and shows that more than fifty
percent of the data falls under the weak-none category. As our numbers in the chart above show, this
data does not fit the normal bell curve.
Next we must describe the variable “number of seats won.” This variable explains the number of
seats a party wins in the legislative assembly. There are 141 respondents to this variable with three
missing values. This low number of missing values does not corrupt the data. The data collected for
this variable is interval; therefore, we must consider the mean, median and mode when describing this
variable. The mode, 1, is once again not suitable for describing this variable because it fails to represent
Convention