Statistics and Linear Algebra 1

1. Add a value to each element in a list:

Degrees_zero = [F + 459.67 for F in Fahrenheit_degrees]

2. Assign the index of a list into the list:

　Survey_responses = ["None", "some", "a lot", "none", "a few", "none", "none"]

Survey_scale = ["None", "a few", "some", "a lot"]

Survey_numbers = [Survey_scale.index (response) for response in Survey_responses]

average_smoking = SUM (smoke_dic)/len (smoke_dic)

3. Categorize Scales:here We need to filter gender list into categorizes and find the Corresponse saving.　　

gender = ["Male", "female", "female", "male", "male", "female"]
Savings = [1200, 5000, 3400, 2400, 2800, 4100]

Solutions one////////////////////////////////////////

Male_saving_list = []

For I in range (Len (gender)):
If gender[i] = = "Male":
Male_saving_list.append (Savings[i])
male_savings = SUM (male_savings_list)/len (male_savings_list)

Solutions two////////////////////////////////////////

Female_saving_list = [Savings[i] for I in range (Len (gender)) if gender[i] = = "female"] # Here we use square bracket to Replace append function. Savings[i] is the value of we want, if conditions has to follow the as loop like solution one.
female_savings = SUM (female_saving_list)/len (female_saving_list)

4.

Statistics and Linear Algebra 1