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  3. Introduction to Statistics in Python

Exercise

Tracking lead responses

Your company uses sales software to keep track of new sales leads. It organizes them into a queue so that anyone can follow up on one when they have a bit of free time. Since the number of lead responses is a countable outcome over a period of time, this scenario corresponds to a Poisson distribution. On average, Amir responds to 4 leads each day. In this exercise, you'll calculate probabilities of Amir responding to different numbers of leads.

Instructions 1/4

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  • 1
    • Import poisson from scipy.stats and calculate the probability that Amir responds to 5 leads in a day, given that he responds to an average of 4.
  • 2
    • Amir's coworker responds to an average of 5.5 leads per day. What is the probability that she answers 5 leads in a day?
  • 3
    • What's the probability that Amir responds to 2 or fewer leads in a day?
  • 4
    • What's the probability that Amir responds to more than 10 leads in a day?