Hypotheses testing
We want to explain the relationships between the satisfaction and user’s personal data and the two phone’s performance. We have intermediate variables (age, gender). We also have independent variables(application, cost the phone)and dependent variable(user’s satisfaction). So we think Hypotheses testing can help us enhance understanding of the relationship that among var
Hypotheses
H1: The general satisfaction of Starburks and The coffee bean will be different according to sex.
H2: Among the customer satisfaction of Starburks and The coffee bean high satisfaction on facilities will have a good effect on customer revisit mind.
H3: Among the customer satisfaction of Starburks and The coffee bean high satisfaction of reliability will have a good effect
hypothesis H2e, ‘If consumers are confronted on the MPC site with lower reference prices for identical products than the prices in the shop they are in, then they are more willing to find other sources for buying’, the paper carried out Welch’s F test. And it revealed no significant group mean difference.
To check this result, the item ‘Before I decided whether to buy the product, I woul
I Introduction
1) Purpose of project
Our purpose of this project is to use the knowledge we learned in the statistics management class and understand how to use these information to analyse the data we collected and depending our data to find the relationship between 3 variables we choose for proving the hypotheses we bring up are correct or not. Statisitics is a very important concept to many
Get much information
Compare objective price information
Discover whether consumers’ behavior was influenced by MPC sites !
Consumers learn as they use a product
Skilled users of one technology will experience a major knowledge transfer to related technologies.
This factors make :
H1A: Abilities that a consumer rates with regard to mobile devices - Usage intention o