Research Article

Software Piracy Awareness, Policy, and User Perspective in Educational Institutions

Table 3

Awareness about software piracy.

S. no.Null hypothesisTestSig.Decision

1The categories defined by soft_use = Pirated and licensed occur with probabilities 0.5 and 0.5One-sample binomial test0.000Reject the null hypothesis
2The categories of friend_use occur with equal probabilitiesOne-sample chi-square test0.000Reject the null hypothesis
3The categories of soft activate occur with equal probabilitiesOne-sample chi-square test0.000Reject the null hypothesis
4The categories defined by online _pay = No and yes occur with probabilities 0.5 and 0.5One-sample binomial test0.000Reject the null hypothesis
5The categories of pirated_soft_use occur with equal probabilitiesOne-sample chi-square test0.000Reject the null hypothesis
6The categories of function_diff occur with equal probabilitiesOne-sample chi-square test0.000Reject the null hypothesis
7The categories defined by attend seminar = No and yes occur with probabilities 0.5 and 0.5One-sample binomial test0.000Reject the null hypothesis
8The categories of caught_piracy occur with equal probabilitiesOne-sample chi-square test0.000Reject the null hypothesis
9The categories of feel_shame occur with equal probabilitiesOne-sample chi-square test0.000Retain the null hypothesis
10The categories defined by sharing_piracy = Agree and disagree occur with probabilities 0.5 and 0.5One-sample binomial test0.000Reject the null hypothesis
11The categories defined by side effect = No and yes occur with probabilities 0.5 and 0.5One-sample binomial test0.000Reject the null hypothesis