def test_calc_mode():
from StatisticsModule import mode
assert mode(testData) == "No mode within given dataset"
def test_calc_mode_fail():
from StatisticsModule import mode
assert mode(testData) != 2
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)))
elif choice == "7":
from StatisticsModule import standardizedScore
print('Standardized Score: ', str(standardizedScore(dataSet)))
elif choice == "8":
from StatisticsModule import populationCorrelationCoefficient
print('Population Correlation Coefficient: ', str(populationCorrelationCoefficient(dataSet)))