# Activation A/B Test at Nearpod

# Activation A/B Test 2019

## Introduction

A/B tests are very commonly performed by data analysts and data scientists.

For this analysis, I will be trying to understand the results of an A/B test run from April 19th 2020 to May 2nd, 2020. The goal is to help Nearpod understand if we should implement the new form upon registration.

## Part I - Probability

To get started, let's import our libraries.

In [12]:

import pandas as pd

import numpy as np

import random

import matplotlib.pyplot as plt

from scipy.stats import norm

import pymysql

%matplotlib inline

#We are setting the seed to assure you get the same answers

random.seed(42)

Dataset and a few rows here:

In [33]:

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