Question: Need help coding in python 3. Demonstrate numerically that the mean of the Gaussian is using the definition of the mean of a continuous function

Need help coding in python

Need help coding in python 3. Demonstrate numerically that the mean of

3. Demonstrate numerically that the mean of the Gaussian is using the definition of the mean of a continuous function f(r)dr 4. An important property of the Gaussian function is the fraction of probability between various multiples of. Demonstrate numerically using Python that 68.3% of the probability is in the range [1-o, + ]. Therefore, roughly one third of all individual measurements will be more than one standard deviation away from the average of many measurements. If you have apparatus that is not very accurate, you must make a number of trials to be sure you have good data. On the other hand, using a vary accurate device such as the Keithley multimeter allows you to make one measurement and quote the result with confidence. Now find the integrated probability within 2o, 3c,t4o, and 5. You should see that the probability to get a data point more than three standard deviations away from the average of many trials is very low 3. Demonstrate numerically that the mean of the Gaussian is using the definition of the mean of a continuous function f(r)dr 4. An important property of the Gaussian function is the fraction of probability between various multiples of. Demonstrate numerically using Python that 68.3% of the probability is in the range [1-o, + ]. Therefore, roughly one third of all individual measurements will be more than one standard deviation away from the average of many measurements. If you have apparatus that is not very accurate, you must make a number of trials to be sure you have good data. On the other hand, using a vary accurate device such as the Keithley multimeter allows you to make one measurement and quote the result with confidence. Now find the integrated probability within 2o, 3c,t4o, and 5. You should see that the probability to get a data point more than three standard deviations away from the average of many trials is very low

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