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A fair coin should land showing tails with a relative frequency of \[50\%\] in a long series of flips. felicia read that spinning—rather than flipping—a us penny on a flat surface is not fair, and that spinning a penny makes it more likely to land showing tails. she spun her own penny \[100\] times to test this, and the penny landed showing tails in \[60\%\] of the spins. let \[p\] represent the proportion of spins that this penny would land showing tails. what are appropriate hypotheses for felicia's significance test? choose 1 answer: choose 1 answer:

User Meltuhamy
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Final answer:

The appropriate hypotheses for Felicia's significance test would be: Null Hypothesis (H0): The proportion of spins that the penny lands showing tails is equal to 0.5 (or 50%). Alternative Hypothesis (HA): The proportion of spins that the penny lands showing tails is greater than 0.5 (or 50%).

Step-by-step explanation:

The appropriate hypotheses for Felicia's significance test would be:

Null Hypothesis (H0): The proportion of spins that the penny lands showing tails is equal to 0.5 (or 50%).

Alternative Hypothesis (HA): The proportion of spins that the penny lands showing tails is greater than 0.5 (or 50%).

In this case, Felicia wants to test if spinning the penny makes it more likely to land showing tails than flipping it, so the alternative hypothesis should state that the proportion of tails is greater than 0.5.

User Clafouti
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