Motivation48. Marital Status X 10g. When considering the flexibility of flight schedules only: Ultra Long-haul flights in Full-Fledged Airline

Chi-Square Calculations

Case Processing SummaryCases

Valid Missing TotalN Percent N Percent N Percent

48. Marital Status * 10g. Consider Schedules (Ultra/ Full)

39 100.0% 0 0.0% 39 100.0%

48. Marital Status * 10g. Consider Schedules (Ultra/ Full) Crosstabulation10g. Consider Schedules (Ultra/ Full) Total

Very Reluctant

Reluctant Neutral Willing Very Willing

48. Marital Status

SingleCount 1 0 3 5 6 15Expected Count .4 1.2 3.5 4.6 5.4 15.0

PartneredCount 0 3 1 1 0 5Expected Count .1 .4 1.2 1.5 1.8 5.0

MarriedCount 0 0 5 6 8 19Expected Count .5 1.5 4.4 5.8 6.8 19.0

TotalCount 1 3 9 12 14 39Expected Count 1.0 3.0 9.0 12.0 14.0 39.0

Chi-Square TestsValue df Asymp. Sig.

(2-sided)Pearson Chi-Square 24.462a 8 .002Likelihood Ratio 18.506 8 .018Linear-by-Linear Association

.302 1 .583

N of Valid Cases 39

a. 12 cells (80.0%) have expected count less than 5. The minimum expected count is .13.

A Pearson’s chi-square test of contingencies (with α = .05) was used to evaluate whether marital status is important

when considering the flexibility of flight schedules only for ultra-long-haul flights in full-fledged airlines. The chi-square

test was statistically significant, x² (1, N = 39) = 24.5, with significant level of 0.002.

T-Test Calculations

Group Statistics48. Marital Status N Mean Std. Deviation Std. Error

Mean

10g. Consider Schedules (Ultra/ Full)

Single 15 4.00 1.134 .293Married 19 4.16 .834 .191

Independent Samples TestLevene's Test for

Equality of Variances

t-test for Equality of Means

F Sig. t df Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the

DifferenceLower Upper

10g. Consider Schedules (Ultra/ Full)

Equal variances assumed

.195 .662 -.468

32 .643 -.158 .337 -.845 .529

Equal variances not assumed

-.451

24.974 .656 -.158 .350 -.878 .563

Levere test, 0.662 > 0.05, assume equal variances. Significance 0.643 >0.05 the means are not significantly different. The null hypothesis is accepted.

Correlation calculations

Correlations

10g. Consider Schedules

(Ultra/ Full)

48. Marital Status

10g. Consider Schedules (Ultra/ Full)

Pearson Correlation

1 .089

Sig. (2-tailed) .590N 39 39

48. Marital Status

Pearson Correlation

.089 1

Sig. (2-tailed) .590N 39 39

0.89 is referred to as a positive linear relationship and of high correlation.

Commercial Influences 50. Income range X 18. How long before hand you would book air tickets

Case Processing SummaryCases

Valid Missing TotalN Percent N Percent N Percent

50. Income Range * 18. How long beforehand you would book air tickets.

39 100.0% 0 0.0% 39 100.0%

50. Income Range * 18. How long beforehand you would book air tickets. Crosstabulation

18. How long beforehand you would book air tickets.

TotalMore

than 6

months

More than 2

- 5 month

s

More than

1 mont

h

More than

2 week

s

More

than 1

week

Less than

a wee

k

50. Income Range

< $1000 per month

Count

0 3 6 2 2 1 14

Expected Count

.4 3.9 4.7 2.9 1.1 1.1 14.0

$1000 - $1999 per month

Count

0 3 3 0 0 0 6

Expected Count

.2 1.7 2.0 1.2 .5 .5 6.0

$2000 - $2999 per month

Count

1 0 1 0 0 0 2

Expected Count

.1 .6 .7 .4 .2 .2 2.0

$3000 - $3999 per month

Count

0 4 3 2 0 0 9

Expected Count

.2 2.5 3.0 1.8 .7 .7 9.0

$4000 - $4999 per month

Count

0 0 0 1 1 0 2

Expected Count

.1 .6 .7 .4 .2 .2 2.0

$6000 - $6999 per month

Count

0 1 0 0 0 0 1

Expected Count

.0 .3 .3 .2 .1 .1 1.0

> Count

0 0 0 2 0 2 4

Value df Asymp. Sig. (2-sided)

Pearson Chi-Square 54.550a 35 .019Likelihood Ratio 41.102 35 .221Linear-by-Linear Association

4.064 1 .044

N of Valid Cases 39a. 48 cells (100.0%) have expected count less than 5. The minimum expected count is .03.

A Pearson’s chi-square test of contingencies (with α = .05) was used to evaluate whether income range is important

when considering how long beforehand one would book air tickets. The chi-square test was statistically significant, x² (1,

N = 39) = 54.6, with significant level of 0.019.

T-Test Calculations

Group Statistics50. Income Range N Mean Std. Deviation Std. Error

Mean18. How long beforehand you would book air tickets.

< $1000 per month 14 2.43 1.222 .327

> $8000 per month 4 4.00 1.155 .577

Independent Samples TestLevene's Test for

Equality of Variances

t-test for Equality of Means

F Sig. t df Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the

DifferenceLower Upper

18. How long beforehand you would book air tickets.

Equal variances assumed

.003 .954 -2.291

16 .036 -1.571 .686 -3.026 -.117

Equal variances not assumed

-2.369

5.108 .063 -1.571 .663 -3.266 .123

50. Income Range * 18. How long beforehand you would book air tickets. Crosstabulation

18. How long beforehand you would book air tickets.

TotalMore

than 6

months

More than 2

- 5 month

s

More than

1 mont

h

More than

2 week

s

More

than 1

week

Less than

a wee

k

50. Income Range

< $1000 per month

Count

0 3 6 2 2 1 14

Expected Count

.4 3.9 4.7 2.9 1.1 1.1 14.0

$1000 - $1999 per month

Count

0 3 3 0 0 0 6

Expected Count

.2 1.7 2.0 1.2 .5 .5 6.0

$2000 - $2999 per month

Count

1 0 1 0 0 0 2

Expected Count

.1 .6 .7 .4 .2 .2 2.0

$3000 - $3999 per month

Count

0 4 3 2 0 0 9

Expected Count

.2 2.5 3.0 1.8 .7 .7 9.0

$4000 - $4999 per month

Count

0 0 0 1 1 0 2

Expected Count

.1 .6 .7 .4 .2 .2 2.0

$6000 - $6999 per month

Count

0 1 0 0 0 0 1

Expected Count

.0 .3 .3 .2 .1 .1 1.0

> Count

0 0 0 2 0 2 4

Levere test, 0.954 > 0.05, assume equal variances. Significance 0.036 < 0.05 the means are significantly different. The

null hypothesis is rejected.

Pre-flight Services45. Gender X 26. The maximum check-in luggage weight allowance is sufficient for me.

Case Processing SummaryCases

Valid Missing TotalN Percent N Percent N Percent

45. Gender * 26. The maximum check-in luggage weight allowance is sufficient for me.

36 92.3% 3 7.7% 39 100.0%

45. Gender * 26. The maximum check-in luggage weight allowance is sufficient for me. Crosstabulation26. The maximum check-in luggage weight allowance is sufficient for

me.Total

Strongly Disagree

Disagree Neutral Agree Strongly Agree

45. GenderMale

Count 1 2 8 5 4 20Expected Count 3.3 3.9 5.0 5.0 2.8 20.0

FemaleCount 5 5 1 4 1 16Expected Count 2.7 3.1 4.0 4.0 2.2 16.0

TotalCount 6 7 9 9 5 36Expected Count 6.0 7.0 9.0 9.0 5.0 36.0

Chi-Square TestsValue df Asymp. Sig.

(2-sided)Pearson Chi-Square 10.999a 4 .027

Likelihood Ratio 12.030 4 .017Linear-by-Linear Association

5.316 1 .021

N of Valid Cases 36a. 8 cells (80.0%) have expected count less than 5. The minimum expected count is 2.22.

A Pearson’s chi-square test of contingencies (with α = .05) was used to evaluate whether gender is important when

considering if the maximum check-in luggage weight allowance is sufficient for one. The chi-square test was statistically

significant, x² (1, N = 36) = 11, with significant level of 0.027.

T-Test Calculations

Group Statistics45. Gender N Mean Std. Deviation Std. Error

Mean26. The maximum check-in luggage weight allowance is sufficient for me.

Male 20 3.45 1.099 .246

Female16 2.44 1.365 .341

Independent Samples TestLevene's Test for

Equality of Variances

t-test for Equality of Means

F Sig. t df Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the

DifferenceLower Upper

26. The maximum check-in luggage weight allowance is sufficient for me.

Equal variances assumed

1.797 .189 2.467 34 .019 1.013 .410 .179 1.846

Equal variances not assumed

2.408 28.538 .023 1.013 .420 .152 1.873

Levere test, 0.189 > 0.05, assume equal variances. Significance 0.019 < 0.05 the means are significantly different. The

null hypothesis is rejected.

In-flight Services46. Age Group X 29b. Presence of in-flight entertainment devices in medium-haul flights

Case Processing SummaryCases

Valid Missing TotalN Percent N Percent N Percent

46. Age Group * 29b. Presence of in-flight entertainment devices (Medium-haul)

39 100.0% 0 0.0% 39 100.0%

46. Age Group * 29b. Presence of in-flight entertainment devices (Medium-haul) Crosstabulation29b. Presence of in-flight entertainment devices (Medium-haul) Total

Least Important

Not So Important

Neutral Quite Important

Very Important

46. Age Group

Below 18Count 0 1 1 0 1 3Expected Count .4 .7 .6 .8 .5 3.0

18 – 27Count 0 2 1 6 4 13Expected Count 1.7 3.0 2.7 3.3 2.3 13.0

28 – 37Count 0 1 3 1 2 7Expected Count .9 1.6 1.4 1.8 1.3 7.0

38 – 47Count 1 2 1 3 0 7Expected Count .9 1.6 1.4 1.8 1.3 7.0

48 – 57Count 2 3 2 0 0 7Expected Count .9 1.6 1.4 1.8 1.3 7.0

58 – 67Count 2 0 0 0 0 2Expected Count .3 .5 .4 .5 .4 2.0

Total Count 5 9 8 10 7 39

Expected Count 5.0 9.0 8.0 10.0 7.0 39.0

Chi-Square TestsValue df Asymp. Sig. (2-

sided)Pearson Chi-Square 33.635a 20 .029Likelihood Ratio 34.769 20 .021Linear-by-Linear Association

13.245 1 .000

N of Valid Cases 39a. 30 cells (100.0%) have expected count less than 5. The minimum expected count is .26.

A Pearson’s chi-square test of contingencies (with α = .05) was used to evaluate whether age group is important when

considering the presence of in-flight entertainment devices in medium flights. The chi-square test was statistically

significant, x² (1, N = 39) = 33.6, with significant level of 0.029.

T-Test Calculations

Group Statistics46. Age Group N Mean Std. Deviation Std. Error

Mean29b. Presence of in-flight entertainment devices (Medium-haul)

Below 18 3 3.33 1.528 .882

58 - 67 2 1.00 .000 .000

Independent Samples TestLevene's Test for

Equality of Variances

t-test for Equality of Means

F Sig. T df Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the

Difference

Lower Upper29b. Presence of in-flight entertainment devices (Medium-haul)

Equal variances assumed

4.615 .121 2.049 3 .133 2.333 1.139 -1.290 5.957

Equal variances not assumed

2.646 2.000 .118 2.333 .882 -1.461 6.128

Levere test 0.121 > 0.05 assume equal variances significance 0.133 > 0.05 the means are not significant different. The null hypothesis is accepted.

Correlation Calculation

Correlations46. Age Group

29b. Presence of

in-flight entertainmen

t devices (Medium-

haul)

46. Age Group

Pearson Correlation

1 -.590**

Sig. (2-tailed) .000N 39 39

29b. Presence of in-flight entertainment devices (Medium-haul)

Pearson Correlation

-.590** 1

Sig. (2-tailed) .000N 39 39

**. Correlation is significant at the 0.01 level (2-tailed).

0.59 is referred to as a negative linear relationship and of low correlation.

Ergonomics 46. Age group X 44c. Level of importance for a full flat bed in a long-haul flight

Case Processing SummaryCases

Valid Missing TotalN Percent N Percent N Percent

46. Age Group * 44c. Full-flat bed (Long-haul)

39 100.0% 0 0.0% 39 100.0%

46. Age Group * 44c. Full-flat bed (Long-haul) Crosstabulation44c. Full-flat bed (Long-haul) Total

Least Important

Not So Important

Neutral Quite Important

Very Important

46. Age Group

Below 18Count 0 0 2 1 0 3Expected Count .2 .5 .7 .8 .8 3.0

18 – 27Count 0 2 2 5 4 13Expected Count 1.0 2.3 3.0 3.3 3.3 13.0

28 - 37Count 1 2 1 1 2 7Expected Count .5 1.3 1.6 1.8 1.8 7.0

38 - 47Count 0 2 1 1 3 7Expected Count .5 1.3 1.6 1.8 1.8 7.0

48 - 57Count 0 1 3 2 1 7Expected Count .5 1.3 1.6 1.8 1.8 7.0

58 - 67Count 2 0 0 0 0 2Expected Count .2 .4 .5 .5 .5 2.0

TotalCount 3 7 9 10 10 39Expected Count 3.0 7.0 9.0 10.0 10.0 39.0

Chi-Square TestsValue df Asymp. Sig. (2-

sided)Pearson Chi-Square 36.398a 20 .014Likelihood Ratio 25.038 20 .200Linear-by-Linear Association

2.471 1 .116

N of Valid Cases 39a. 30 cells (100.0%) have expected count less than 5. The minimum expected count is .15.

A Pearson’s chi-square test of contingencies (with α = .05) was used to evaluate whether age group is important when

considering the level of importance for a full flat bed in a long-haul flight. The chi-square test was statistically significant,

x² (1, N = 39) = 36.4, with significant level of 0.014.

T-Test Calculations

Group Statistics46. Age Group N Mean Std. Deviation Std. Error

Mean

44c. Full-flat bed (Long-haul)

Below 18 3 3.33 .577 .33358 - 67 2 1.00 .000 .000

Independent Samples TestLevene's Test for

Equality of Variances

t-test for Equality of Means

F Sig. t df Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the

DifferenceLower Upper

44c. Full-flat bed (Long-haul)

Equal variances assumed

9.600 .053 5.422 3 .012 2.333 .430 .964 3.703

Equal variances not assumed

7.000 2.000 .020 2.333 .333 .899 3.768

Levere test, 0.053 > 0.05, assume equal variances. Significance 0.012 < 0.05 the means are significantly different. The

null hypothesis is rejected.