import statistical as stat
import math
data = [-0.1, -0.02, 0.1, -0.03, 0.09, 0.01, -0.05, 0.05, -0.06, 0.01, 0.03, 0.06, 0.02, -0.07, 0.03]
print("Nr of datapoints: %d" %len(data))
print("Mean: %.4f" %stat.mean(data))
print("sampleVariance: %.4f" %stat.sampleVariance(data))
print("Std Dev: %.4f" %stat.stdDeviation(data))
chi1 = 48.3
chi2 = 11.2
print("Mean conf interval: %s" %(stat.confIntervalMean(1.761, data),))
import math
import statistical as stat
d1 = [1, 3, 2, 2, 5, 4, 4, 3, 3]
d2 = [1, 2, 4, 1, 2, 5, 2, 5, 1, 5, 5, 3]
print("Mean: " + str(stat.mean(d2)))
print("Var: " + str(stat.sampleVariance(d2)))
print("Standard Deviation: " + str(stat.stdDeviation(d2)))
print(sorted(d2))
def printStat(data):
print("Mean: " + str(stat.mean(data)))
print("Var: " + str(stat.sampleVariance(data)))
print("Standard Deviation: " + str(stat.stdDeviation(data)))
print("Median: " + str(stat.median(data)))
import statistical as stat
import math
data = [
1.38, 1.26, 1.52, 1.56, 1.48, 1.46, 1.30, 1.28, 1.43, 1.43, 1.55, 1.57,
1.51, 1.53, 1.68, 1.37, 1.47, 1.61, 1.49, 1.43, 1.64, 1.51, 1.60, 1.65,
1.60, 1.64, 1.51, 1.51, 1.53, 1.74
]
print(stat.sampleVariance(data))
print(stat.stdDeviation(data))
print("d) ---")
print(math.sqrt(0.00833))
print(math.sqrt(0.0233))