AIRLINE SECURITY

Airline Security

Airline Security

Introduction

A decade and tens of billions of tax dollars later, experts say airport security improved dramatically even as the flying public grumbled about the growing layers of scrutiny confronting them. The government takeover strengthened screening standards, and a vast investment in the high-tech body scanners has made it harder for terrorists to target aircraft. Now spending is expected to level off as the bulk of the scanner investment winds down over the next few years and Congress seeks to shrink the state budget deficit. It is a potential $4 billion market for private industry, based on what the Transportation Security Administration, or TSA, currently spends on aviation security.Hypothesis

Airline security has increased after the 9/11 attacks.

Discussion

The data have been collected through a survey, in order to find out the people perception about airline security after 9/11 terrorist attacks. There are a total of 50 respondents, who have been interviewed through the survey, the questionnaire comprises of nine questions. As stated above hypothesis, we have tried to find out how people consider the travelling through airline after the attacks, whether they have any security risk or they feel more comfortable now. In order to check the hypothesis, we have applied statistical technique called paired sample t test. 

Paired sample T test

One of the most common experimental designs is the pre post design. A study of this type usually consists of two measures taken on the same subject: one before and one after the adoption of any treatment, the basic idea are simple. The null hypothesis says there is no difference between the two samples. If treatment does not affect the average difference in means is equal to 0. In this case, we accept the null hypothesis of no difference between the two treatments. On the other hand, if treatment is effective, the difference in the averages before and after treatment will be different from zero, so the null hypothesis is rejected. The paired T-test procedure is used to test the hypothesis that there is no difference between two variables; the data can be considered as two measures of the same subject. Airport security has seen a significant increase in the decade following 9/11; that much is abundantly clear. Travelers have been subjected to scans and pat down searches for a variety of reasons, and there is little question that security in the sky has improved to some degree due to the measures.

Paired Samples Statistics

Mean

N

Std. Deviation

Std. Error Mean

Pair 1

How would you rate the airline security before 9/11 attacks?

2.82

50

1.424

.201

How would you rate the airline security after 9/11 attacks?

3.18

50

1.453

.205

The table above shows the descriptive statistics for the two variables, that how much an individual rate the airline security before and after the 9/11 attacks. The results show that the magnitude of mean before the 9/11 attacks i.e. 2.82 is less than 3.18 which is after the attacks, it implies that people are felt more secure while travelling through the airline after those attacks. The reason behind this could be the security tightness and measures which are assured by the TSA.

Paired Samples Correlations

N

Correlation

Sig.

Pair 1

How would you rate the airline security before 9/11 attacks? ...