Choose below the probability distribution that best fits the described process. Choose only from Bernoulli, Geometric, Binomial, Poisson, Exponential, and Normal. 1 Points each.
Plot the probablities using Python. Accurately label x and y axis. State which distribution the plot is decribing. Make distinction in the use of discrete or continuous variables in the plots. Use for
loops to compute probabilities.
[8 points] The probability of rain is 0.3 in a given day. Plot the number days it will rain and their corresponding probilities in a given month of 31 days. Show the expected value of the distribution as a red vertical line in the plot.
[6 points]Probability of death cancer is 5%. Compute the probability of any number of people dying from cancer in group of 100 people
For the following problems, choose and state an appropriate distribution, write out its parameters based on the problem statement and then compute the requested quantity. Write the distribution information in Markdown/LaTeX and compute answers in Python. Use for
loops for computing expected value and prediction intervals. Do not use numpy
or the formulas given in lecture notes. Assume in all these examples that multiple trials are independent.
[2 points] In January, you applied to 50 jobs. The probability of getting an interview is 0.3 for in January. What is the probablity that you get 7 interviews that month? What is the expected value of this distribution?
[2 points] On average you run with probability of 0.4 per day. What is the the expected number of days on which you run?
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