# import function to read csv file
from FileReader import readCSV
# import math library
import math
# get numbers from dataset
dataSet = readCSV('CSV_files/test.csv')
#################################################################################
#################################################################################
######################### LET USER TEST FUNCTIONS ##########################
#################################################################################
#################################################################################
choice = ''
print('Select operation!')
print('1.Median')
print('2.Standard Deviation')
print('3.Calculate Z-Score for each Number')
print('4.Calculate Population Variance')
choice = input('Enter choice:')
if choice == "1":
from Median import median
print('median: ', str(median(dataSet)))
elif choice == "2":
from StandardDeviation import standardDeviation
print('standard deviation: ', str(standardDeviation(dataSet)))
elif choice == "3":
# coding: utf-8
# import function to read csv file
from FileReader import readCSV
# import math library
import math
# get numbers from dataset
dataSet = readCSV('csv/test.csv')
#################################################################################
choice = ''
print('Select operation!')
print('1.Population Standard Deviation')
print('2.Variance of Population Proportion')
print('3.Calculate Z-Score for each Number')
print('4.Sample Standard Deviation')
print('5.Variance of Sample Proportion')
choice = input('Enter choice:')
if choice == "1":
from StatisticsModule import populationStandardDeviation
print('Standard Deviation - Population: ',
str(populationStandardDeviation(dataSet)))
elif choice == "2":
from StatisticsModule import variancePopulationProportion
print('variance- Population: ', str(variancePopulationProportion(dataSet)))
elif choice == "3":
from StatisticsModule import zScore
def test_csv_reader():
dataSet = readCSV('CSV_files/test.csv')
assert len(dataSet) == 19 * 2
def test_csv_reader_fail():
dataSet = readCSV('CSV_files/test.csv')
assert len(dataSet) != 19
def test_csv_reader():
dataSet = readCSV('../../MiniProject2/CSV_files/test.csv')
assert len(dataSet) == 19 * 2
import math
from FileReader import readCSV
import scipy
from scipy.stats import t
import numpy
dataSet = readCSV('../../MiniProject2/CSV_files/test.csv')
testData = [1, 2, 3]
def test_csv_reader():
dataSet = readCSV('../../MiniProject2/CSV_files/test.csv')
assert len(dataSet) == 19 * 2
def test_csv_reader_fail():
dataSet = readCSV('CSV_files/test.csv')
assert len(dataSet) != 19
#1 - Population Mean Tests
def test_calc_populationMean():
from StatisticsModule import populationMean
assert populationMean(testData) == 2
def test_calc_populationMean_fail():
from StatisticsModule import populationMean
assert populationMean(testData) != 1
