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The document presents a correlation analysis showing a significant positive relationship (r = 0.583, p < 0.01) between the age of respondents and their level of awareness of internet banking, based on a sample of 50 individuals. Additionally, a one-sample test indicates that the mean difference in household distributions by asset value is significantly greater than zero (t = 13.232, p < 0.001). Furthermore, it highlights that micro finance loans can be obtained within a short duration with a significant mean difference (t = 8.216, p < 0.001).

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Ajay Pandian
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25 views1 page

Tools

The document presents a correlation analysis showing a significant positive relationship (r = 0.583, p < 0.01) between the age of respondents and their level of awareness of internet banking, based on a sample of 50 individuals. Additionally, a one-sample test indicates that the mean difference in household distributions by asset value is significantly greater than zero (t = 13.232, p < 0.001). Furthermore, it highlights that micro finance loans can be obtained within a short duration with a significant mean difference (t = 8.216, p < 0.001).

Uploaded by

Ajay Pandian
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Correlations

Level of
Age of the awareness on
Respondent internet banking

Age of the Respondent Pearson Correlation 1 .583**

Sig. (2-tailed) .000

N 50 50
Level of awareness on Pearson Correlation .583** 1
internet banking Sig. (2-tailed) .000

N 50 50

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

One-Sample Test

Test Value = 0

95% Confidence Interval of the


Difference

t df Sig. (2-tailed) Mean Difference Lower Upper

Distributions of households by
13.232 49 .000 2.64000 2.2391 3.0409
Asset value
Micro finance loan can be
8.216 6 .000 2.14286 1.5047 2.7811
obtained within short duration

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