# My Medical Insurance Project

Greetings Friends!
I’m working on the Medical Insurance Project in the Data Science Career Path.

I’m running into a problem at Task 11.
I’ve changed the binary value of sex from 0 to 1.
Task 12 says I should have outputted a negative value for change_in_insurance_cost after completing Task 11; however, I received a positive value…
…and I told my vocational counsellor that I’d be done with the project by day’s end…

Here’s what my program looks like:

# create the initial variables below

age = 28
sex = 0
bmi = 26.2
num_of_children = 3
smoker = 0

# Add insurance estimate formula below

insurance_cost = 250 * age - 128 * sex + 270 * bmi + 425 * num_of_children + 24000 * smoker - 12500

# Age Factor

age += 4
new_insurance_cost = 250 * age - 128 * sex + 370 * bmi + 425 * num_of_children + 24000 * smoker - 12500
print(“This person’s insurance cost is " + str(insurance_cost) + " dollars.”)

change_in_insurance_cost = new_insurance_cost - insurance_cost

print(“The change in cost of insurance after increasing the age by 4 years is " + str(change_in_insurance_cost) + " dollars.”)

# BMI Factor

age = 28
bmi += 3.1

new_insurance_cost = 250 * age - 128 * sex + 370 * bmi + 425 * num_of_children + 24000 * smoker - 12500

change_in_insurance_cost = new_insurance_cost - insurance_cost
print(“The change in estimated insurance cost after increasing BMI by 3.1 is " + str(change_in_insurance_cost) + " dollars.”)

# Male vs. Female Factor

bmi -= 3.1
sex = 1

new_insurance_cost = 250 * age - 128 * sex + 370 * bmi + 425 * num_of_children + 24000 * smoker - 12500

change_in_insurance_cost = new_insurance_cost - insurance_cost
print(“The change in estimated cost for being male instead of female is " + str(change_in_insurance_cost) + " dollars.”)

# Extra Practice

Can you post a link to the exercise?