Kurssisisältö
A/B Testing in Python
A/B Testing in Python
1. What is A/B Test?
Choosing the Criterion
The preprocessed file is already put in the code editor!
As we did with the first A/B test, we will do it now. We need to:
- Look at the distribution of the data;
- Choosing the table below decide what criterion to select for the work.
Tehtävä
Swipe to start coding
- Import the
seaborn
with thesns
alias. - Import the
scipy
. - Import the
statsmodels.api
with thesm
alias. - Build the
distplot
using thesns
library and the'contact_views_number'
column. - Build the
qqplot
using thesm
library and the'contact_views_number'
column. - Perform the
normaltest
with the'contact_views_number'
column.
Ratkaisu
Oliko kaikki selvää?
Kiitos palautteestasi!
Osio 3. Luku 4
Choosing the Criterion
The preprocessed file is already put in the code editor!
As we did with the first A/B test, we will do it now. We need to:
- Look at the distribution of the data;
- Choosing the table below decide what criterion to select for the work.
Tehtävä
Swipe to start coding
- Import the
seaborn
with thesns
alias. - Import the
scipy
. - Import the
statsmodels.api
with thesm
alias. - Build the
distplot
using thesns
library and the'contact_views_number'
column. - Build the
qqplot
using thesm
library and the'contact_views_number'
column. - Perform the
normaltest
with the'contact_views_number'
column.
Ratkaisu
Oliko kaikki selvää?
Kiitos palautteestasi!
Osio 3. Luku 4