Hướng dẫn dùng standard diviation python
Statistics module in Python provides a function known as stdev() , which can be used to calculate the standard deviation. stdev() function only calculates standard deviation from a sample of data, rather than an entire population. Show To calculate standard deviation of an entire population, another function known as pstdev() is used. Standard Deviation is a measure of spread in Statistics. It is used to
quantify the measure of spread, variation of a set of data values. It is very much similar to variance, gives the measure of deviation whereas variance provides the squared value. Standard Deviation is calculated by : where x1, x2, x3.....xn are observed values in sample data, is the mean value of observations and N is the number of sample observations.
Code #1 : Python3
Output : Standard Deviation of the sample is 1.5811388300841898 Code #2 : Demonstrate stdev() on a varying set of data types Python3
Output : The Standard Deviation of Sample1 is 3.9761191895520196 The Standard Deviation of Sample2 is 1.8708286933869707 The Standard Deviation of Sample3 is 7.8182478855559445 The Standard Deviation of Sample4 is 0.41967844833872525 Code #3 :Demonstrate the difference between results of variance() and stdev() Python3
Output : Standard Deviation of the sample is 1.5811388300841898 Variance of the sample is 2.5 Code #4 : Demonstrate the use of xbar parameter Python3
Output : Standard Deviation of Sample set is 0.6047037842337906 Code #5 : Demonstrates StatisticsError Python3
Output : Traceback (most recent call last): File "/home/f921f9269b061f1cc4e5fc74abf6ce10.py", line 12, in print(statistics.stdev(sample)) File "/usr/lib/python3.5/statistics.py", line 617, in stdev var = variance(data, xbar) File "/usr/lib/python3.5/statistics.py", line 555, in variance raise StatisticsError('variance requires at least two data points') statistics.StatisticsError: variance requires at least two data points Applications :
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