It is found from the above test that The critical value at 5 level of

It is found from the above test that the critical

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It is found from the above test that: The critical value at 5% level of significance was 3.84, however, the Chi-square calculated value is 5.48, and thus lies in the rejection region, rejecting the null hypothesis and indicating the existence of a relationship. Interpretation: From the above analysis, it can be inferred that more people who are highly likely to be affected by the sunk cost effect will not contribute even small amounts to the PM CARES fund compared to those who will. This shows that prompting interventions that increase people's sense of identity as "virtuous persons" or framing such interventions in a manipulative way is not going to affect individuals affected by the sunk cost effect. 92
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4.2.2. Understanding the relationship between the likeliness of individuals to be affected by Choice overload and them getting affected by the UI of E-commerce platforms A Chi-Square test was conducted to understand the relationship between the likeliness of individuals to be affected by Choice overload and them getting affected by the UI of E-commerce platforms, the hypotheses for the test being: H 0 : There is no significant relationship between the likeliness of individuals to be affected by Choice overload and them getting affected by the UI of E-commerce platforms H 1 : There is a significant relationship between the likeliness of individuals to be affected by Choice overload and them getting affected by the UI of E-commerce platforms Analysis: It is found from the above test that: The critical value at 5% level of significance was 3.84, however, the Chi-square calculated value is 4.18, and thus lies in the rejection region, rejecting the null hypothesis and indicating the existence of a relationship. Interpretation: From the above analysis, it can be inferred that more people who are highly likely to be affected by the choice overload get affected by the User Interface of an E-commerce platform compared to those who don’t. Therefore, such users should be catered with a friendly UI allowing them to have customized and personalized products matching their likes with fewer alternatives available. 93
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4.2.2. Understanding the relationship between individuals getting affected by Channel factors and them starting panic buying post the lockdown A Chi-Square test was conducted to understand the relationship between individuals getting affected by Channel factors and them starting panic buying post the lockdown, the hypotheses for the test being: H 0 : There is no significant relationship between individuals getting affected by Channel factors and them starting panic buying post the lockdown H 1 : There is a significant relationship between individuals getting affected by Channel factors and them starting panic buying post the lockdown Analysis: It is found from the above test that: The critical value at 5% level of significance was 3.84, however, the Chi-square calculated value is 6.52, and thus lies in the rejection region, rejecting the null hypothesis and indicating the existence of a relationship.
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