# Statistical Hypothesis Test of the Eventor App

Authors:
Dave Park, Jesse Singh, Subesh Sivanathan, Salim Nanji and Lyndia Stacey
Case revision date:
2015-11-23
Length:
7 pages (Case Study)
Summary:

It can be very difficult for people to maintain an up-to-date calendar. For a fourth year design team comprised of Management Engineering students, Dave Park, Jesse Singh, Subesh Sivanathan and Salim Nanji, this was no exception. Even though a range of software applications have made the process of scheduling and reminding people of these commitments a lot easier, the design team still felt overwhelmed with their schedules. Throughout each semester, they had employee information sessions, social gatherings, make-up lectures, intramural games, etc. They relied on common methods such as manually adding reminders to a calendar or using Google Voice to verbally input details of an event. The team saw a need for a simplified event scheduling process, and decided to develop a solution for their fourth year design project. Under the supervision of Olga Vechtomoza, they developed an app called Eventor. Eventor was designed to simplify the creation of events on mobile devices. A user selects or provides any raw text found within their mobile device and shares this to the Eventor app. It then parses the selected text and determines the title, date, time, location and description of the event. After the user confirms or edits the details, it is added to their calendar.
Dave, Jesse, Subesh and Salim wanted to confirm that Eventor was significantly different than the existing options in order to ensure their idea was novel. The design team collected data on usability and wanted to apply significance testing to this data to evaluate the improvement.

Eventor app: main screen where user enters data

Learning objectives:

The main teaching objective of this case study is to provide a real world problem in which students can practice conducting a t-test and understand statistical significance.

Key words:
statistical significance, t-tests, standard deviation, user study, hypothesis testing
CEAB attributes:
Modules:
Module 01– Case Study
Module 02– T-test Analysis
Exhibit A – User Study data (Excel file)
Module TN– Teaching Note