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

Table 5

Awareness about software piracy.

S. no.	Null hypothesis	Test	Sig.	Decision
1	The categories of piracy_because occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
2	The categories of reduce_ratio_ piracy_ occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
3	The categories defined by piracy_huge_money = Agree and disagree occur with probabilities 0.5 and 0.5	One-sample binomial test	0.000	Reject the null hypothesis
4	The categories of expensive_cheap occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
5	The categories of econo_incentives occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
6	The categories defined by online_buy_facility = No and yes occur with probabilities 0.5 and 0.5	One-sample binomial test	0.000	Reject the null hypothesis
7	The categories defined by favor_voilation = Yes and No occur with probabilities 0.5 and 0.5	One-sample binomial test	0.000	Reject the null hypothesis
8	The categories of warning occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
9	The categories of notification_feel occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
10	The categories defined by find_active_code = Yes and No occur with probabilities 0.5 and 0.5	One-sample binomial test	0.391	Retain the null hypothesis
11	The categories of easy_soft_reg occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
12	The categories of piracy_caught_prob occur with equal probabilities	One-sample chi-square test	0.000	Reject the null hypothesis
13	The categories defined by implement_soft_policy = Disagree and agree occur with probabilities 0.5 and 0.5	One-sample binomial test	0.000	Reject the null hypothesis