Using Python, make plots of the Poisson and Gaussian probability distributions on the same graph. Write...
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Using Python, make plots of the Poisson and Gaussian probability distributions on the same graph. Write your own definition of these distributions, don't just grab a function that produces the distribution. a) Make a plot where the mean of both distributions is 4 and the standard deviation is 2. Qualitatively summarize the differences between the curves. b) Make a new plot comparing the Poisson and Gaussian probability distributions when the mean is 25 and the standard deviation is 5. Describe when (how many counts?) it is a valid to approximate a Poisson distribution by a Gaussian distribution. Then compute the chi-squared and the reduced chi-squared value that compares your fit to the data. Use the table in Taylor tell whether this model appears to be a good fit to the data. Using Python, make plots of the Poisson and Gaussian probability distributions on the same graph. Write your own definition of these distributions, don't just grab a function that produces the distribution. a) Make a plot where the mean of both distributions is 4 and the standard deviation is 2. Qualitatively summarize the differences between the curves. b) Make a new plot comparing the Poisson and Gaussian probability distributions when the mean is 25 and the standard deviation is 5. Describe when (how many counts?) it is a valid to approximate a Poisson distribution by a Gaussian distribution. Then compute the chi-squared and the reduced chi-squared value that compares your fit to the data. Use the table in Taylor tell whether this model appears to be a good fit to the data.
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To create plots of the poisson and Gaussian probability distributions in python and compare them we can define our own functions to generate these dis... View the full answer
Related Book For
Microeconomics An Intuitive Approach with Calculus
ISBN: 978-0538453257
1st edition
Authors: Thomas Nechyba
Posted Date:
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