Question: null hypothesis: p= 0.75. Alternative hypothesis: p>0.75. What does a Type I error mean in this specific situation? What are the consequences of making a

null hypothesis: p= 0.75. Alternative hypothesis: p>0.75. What does a Type I error mean in this specific situation? What are the consequences of making a Type I error in this situation

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