# Day 0: Mean, Median, and Mode

# Objective
# In this challenge, we practice calculating the mean, median, and mode.
#
# Task
# Given an array, , of  integers, calculate and print the respective mean, median, and mode on separate lines. If your array contains more than one modal value, choose the numerically smallest one.
#
# Note: Other than the modal value (which will always be an integer), your answers should be in decimal form, rounded to a scale of  decimal place (i.e., ,  format).
#
# Input Format
#
# The first line contains an integer, , denoting the number of elements in the array.
# The second line contains  space-separated integers describing the array's elements.
#
# Constraints
#
# , where  is the  element of the array.
# Output Format
#
# Print  lines of output in the following order:
#
# Print the mean on a new line, to a scale of  decimal place (i.e., , ).
# Print the median on a new line, to a scale of  decimal place (i.e., , ).
# Print the mode on a new line; if more than one such value exists, print the numerically smallest one.

# Sample Input
#
# 10
# 64630 11735 14216 99233 14470 4978 73429 38120 51135 67060
# Sample Output
#
# 43900.6
# 44627.5
# 4978

# Explanation
#
# Mean:
# We sum all  elements in the array, divide the sum by , and print our result on a new line.
#
# Median:
# To calculate the median, we need the elements of the array to be sorted in either non-increasing or non-decreasing order. The sorted array . We then average the two middle elements:
#
# and print our result on a new line.
# Mode:
# We can find the number of occurrences of all the elements in the array:
#
#  4978 : 1
# 11735 : 1
# 14216 : 1
# 14470 : 1
# 38120 : 1
# 51135 : 1
# 64630 : 1
# 67060 : 1
# 73429 : 1
# 99233 : 1
# Every number occurs once, making  the maximum number of occurrences for any number in . Because we have multiple values to choose from, we want to select the smallest one, , and print it on a new line.

import numpy as np
from scipy import stats
n = int(input())
array_of_numbers = list(map(int, input().split()))
mean = np.mean(array_of_numbers)
median = np.median(array_of_numbers)
mode = int(stats.mode(array_of_numbers)[0])
print (mean)
print (median)
print (mode)
