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Computing bounds on a confidence interval
I have written a very simple program that generates a random number from a normal distribution.
low = 2.5
high = 3.5
lower = (low-5*random.randint(0,1))*random.randint(0,1)
upper = (high+5*random.randint(0,1))*random.randint(0,1)
return lower, upper
Now, I have two questions
I am supposed to compute the following bounds:
bounds = [2.5,3.5]
bounds = [2.5,3.5]
But how? All I see from this syntax is that:
bounds = (low-5*random.randint(0,1))*random.randint(0,1)
What I see is that it is just computing a random number from the lower bound to the upper bound. Could someone please show me the whole process of how we get the bounds from this?
What I think I am missing in my understanding is that I am missing the upper bound.
You seem to be misunderstanding the operation of randint and random.int. randint returns an integer in a given range, while random.int returns an integer from the range specified, and both methods return a random integer.
In your case, you can use randint and random.random instead: