Question

The prompt for the python script is this:

Construct a 99% confidence interval for the proportion of days with solar power generation above 43 kWh for City A (cityA>43.0). In order to perform this function, you need to make the appropriate modifications to the provided script. In other words, you should:

Replace ???DATASET_NAME??? with solarkwh

Replace '???VARIABLE_NAME???' with the variable 'cityA'

Replace ???Xvalue??? with the appropriate value

The code they give us:

print ('Confidence Interval - Step 4')
n = ???DATASET_NAME???[['???VARIABLE_NAME???']].count()
x = (???DATASET_NAME???[['???VARIABLE_NAME???']] > ???Xvalue???).values.sum()
p = x/n*1.0
stderror = (p * (1 - p)/n)**0.5
print (st.norm.interval(0.99, p, stderror))
print ('')

What I have:

print ('Confidence Interval - Step 4')
n = solarkwh[['cityA']].count()
x = (solarkwh[['cityA']] > 43.0).values.sum()
p = x/n*1.0
stderror = (p * (1 - p)/n)**0.5
print (st.norm.interval(0.99, p, stderror))
print ('')

I need to know if my variables are correct based on what they are asking me to do

I'm not sure how this is incomplete? this is literally all the info i was given.

Answer 1

Your code is fully correct.

print ('Confidence Interval - Step 4')
n = solarkwh[['cityA']].count()
x = (solarkwh[['cityA']] > 43.0).values.sum()
p = x/n*1.0
stderror = (p * (1 - p)/n)**0.5
print (st.norm.interval(0.99, p, stderror))
print ('')

The value of ???DATASET_NAME??? and  ???VARIABLE_NAME??? is already given in the question.

We need to find the 99% confidence interval for the proportion of days with solar power generation above 43 kWh.

So, the value of ???Xvalue??? should be 43 which you have already given in the question.