Quantitative Essay

Quantitative Essay

Quantitative Essay

Introduction

Today, the technological developments have bring lot benefits to the people around world, everything is on the finger tips of people whether it is buying clothes, grocery, ordering pizzas etc and the most common and easiest way to buy these things is via internet and the second most important thing is the mobile phones. The use of mobile phones is very common in today's world as it is not only used for basic communication (send text message or make phone calls) with people, but also uses it to send emails and other functions. The study will analyze the importance of mobile phones and how it used by males and females in their regular activities. Few hypothesis have been considered and the analysis will be done to prove that hypothesis significant or not. The assumption and hypothesis for the study of mobile phones uses are:

Hypothesis statements

Hypothesis 1: The younger people tend to use text basic more than voice basic communication.

Hypothesis 2: Males are more likely to check email on mobile phone more than females.

Hypothesis 3: Males are spending more hours online (except check email) on mobile phone than females.

Data collection process

The data for the study of mobile phones uses “The gate of Thistles Shopping Centre”. The population of shopping centre was surveyed for the study and a total sample of 100 shoppers were surveyed through a questionnaire and few questions were asked about their use of mobile phones in their daily life. The respondents of the survey are of various ages which will be measured by scale data. Various questions subjecting mainly towards the use of text messages and e-mails through mobile phones have kept in focus as it was related to the study. The data collected through the survey is not biased because it has been collected through random sampling through the survey and survey results are not considered as biased.

The likert-scale has been used to force the respondents to provide answers to each question. The scaling will be measured with “1” for “Strongly Disagree”, “2” for “Disagree”, “3” for “Neutral”, “4” for “Agree”, “5” for “Strongly Agree”. The questionnaire has been placed in the appendix.

Analysis of the data

The data has been analyzed through various statistical tools. In the beginning, it is assumed that the data is normally distributed because of the normal responses from the respondents I during the survey. The skewness and kurtosis results have collected to analyze the nature of the answers of the respondents, whether it is positively skewed or negatively skewed i.e. the answers of the respondents are tending towards which side. Another statistical calculation that could be used to analyze the frequency is the kurtosis measure. This can be used to analyze that frequency which is most commonly answered by the respondents. The standardised Kurtosis and skew ness is found out by dividing the kurtosis and Skewness with their standard errors. The table below shows skewness and kurtosis along with standardized skewness and kurtosis. All the variables are positively skewed showing that ...