def test_calc_populationMean_fail():
from StatisticsModule import populationMean
assert populationMean(testData) != 1
print('4.Population Standard Deviation')
print('5.Variance of Population Proportion')
print('6.Calculate Z-Score for each Number')
print('7.Calculate Standardized score for each number')
print('8.Calculate Population Correlation Coefficient')
print('9.Confidence Interval')
print('10.Calculate Population Variance')
print('12.Variance Sample Proportion')
print('13.Sample Mean')
print('14.Standard Deviation')
choice = input('Enter choice:')
if choice == "1":
from StatisticsModule import populationMean
print('population mean: ', str(populationMean(dataSet)))
elif choice == "2":
from StatisticsModule import median
print('median: ', str(median(dataSet)))
elif choice =="3":
from StatisticsModule import mode
print('mode(s): ', str(mode(dataSet)))
elif choice =="4":
from StatisticsModule import populationStandardDeviation
print('Population Standard Deviation: ', str(populationStandardDeviation(dataSet)))
elif choice == "5":
from StatisticsModule import variancePopulationProportion
print('variance of population proportion: ', str(variancePopulationProportion(dataSet)))
elif choice == "6":
from StatisticsModule import zScore
print('z-score: ', str(zScore(dataSet)))