# FAQ: Introduction to Statistics with NumPy - NumPy and Mean

This community-built FAQ covers the “NumPy and Mean” exercise from the lesson “Introduction to Statistics with NumPy”.

Paths and Courses
This exercise can be found in the following Codecademy content:

## Join the Discussion. Help a fellow learner on their journey.

Agree with a comment or answer? Like () to up-vote the contribution!

Need broader help or resources? Head here.

Looking for motivation to keep learning? Join our wider discussions.

Found a bug? Report it!

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

I’m lost as to how to answer Question #3 for this exercise:
"The boss says that we should increase what we stock, but only if the store’s average sales are greater than 7 bottles per week.

Save the store dataset variable name that fits this description to the variable `best_seller` ."

How do you associate a store name with the value where the store average is greater than 7 in NumPy? i’m so stuck.

best_seller = store_two

1 Like

Code challenge:
Write a function that will automatically detect best seller.

3 Likes

I agree, the question is misleading it states:

Save the store dataset variable name that fits this description to the variable `best_seller` .

That to me indicates the actual name of the variable, not the array of data. Remove the text “variable name” from the instructions.

actually still i am worry how to write the code to answer that question automatically

``````if store_one_avg > 7:
best_seller = store_one
print('Best seller is store one')

if store_two_avg > 7:
best_seller = store_two
print('Best seller is store two')

if store_three_avg > 7:
best_seller = store_three
print('Best seller is store three')

i;'m sure there's a better why to write it using a loop, but i'm pretty new. The question asked for stores that have an average of more than 7, so that might be more than one.
mj
``````
1 Like
``````for x in ['a', 'b', 'c']:
if condition:
print("Condition fulfilled by {}".format(x))
``````
``````> store_dataset = [[store_one, store_one_avg], [store_two, store_two_avg], [store_three, store_three_avg]]
>
> for i in store_dataset:
>   if i[-1] > 7.0:
>     best_seller = i[0]
``````

My solution is

``````best_seller = ([store_one,store_two,store_three][[store_one_avg,store_two_avg,store_three_avg]>7])
``````
1 Like

The wording of Question 3 is pretty confusing. It is difficult to interpret what you want us to do

2 Likes

Save the store dataset variable name that fits this description to the variable `best_seller` .

That is horribly worded. That can mean so many things when you google dataset but one thing you wont find is that it was meant to be the array/list.

In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files. To install dataset, fetch it with pip: