How to find min, max and mean of wordcount from text file in hadoop mapreduce?

[sathishpakalapati]

public class MaxMinReducer extends Reducer {
int max_sum=0;
int mean=0;
int count=0;
Text max_occured_key=new Text();
Text mean_key=new Text("Mean : ");
Text count_key=new Text("Count : ");
int min_sum=Integer.MAX_VALUE;
Text min_occured_key=new Text();

public void reduce(Text key, Iterable values, Context context) throws IOException, InterruptedException {
int sum = 0;

   for (IntWritable value : values) {
         sum += value.get();
         count++;
   }

   if(sum < min_sum)
      {
          min_sum= sum;
          min_occured_key.set(key);        
      }     


   if(sum > max_sum) {
       max_sum = sum;
       max_occured_key.set(key);
   }          

   mean=max_sum+min_sum/count;

}

@OverRide
protected void cleanup(Context context) throws IOException, InterruptedException {
context.write(max_occured_key, new IntWritable(max_sum));
context.write(min_occured_key, new IntWritable(min_sum));
context.write(mean_key , new IntWritable(mean));
context.write(count_key , new IntWritable(count));
}
}

Here I am writing minimum,maximum and mean of wordcount.

My input file :

high low medium high low high low large small medium

Actual output is :

high - 3------maximum

low - 3--------maximum

large - 1------minimum

small - 1------minimum

but i am not getting above output ...can anyone please help me?