A carnival game is designed so that approximately 10% of players will win a large prize. If there is evidence that the percentage differs significantly from this target, then adjustments will be made to the game. To investigate, a random sample of 100 players is selected from the large population of all players. Of these players, 19 win a large prize. The question of interest is whether the data provide convincing evidence that the true proportion of players who win this game differs from 0.10. Are the conditions for inference met for conducting a z-test for one proportion? Yes, the random, 10%, and large counts conditions are all met. No, the random condition is not met. No, the 10% condition is not met. No, the large counts condition is not me

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A carnival game is designed so that approximately 10% of players will win a large prize. If there is evidence that the percentage differs significantly from this target, then adjustments will be made to the game. To investigate, a random sample of 100 players is selected from the large population of all players. Of these players, 19 win a large prize. The question of interest is whether the data provide convincing evidence that the true proportion of players who win this game differs from 0.10. Are the conditions for inference met for conducting a z-test for one proportion?

Yes, the random, 10%, and large counts conditions are all met.
No, the random condition is not met.
No, the 10% condition is not met.
No, the large counts condition is not met.
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Given 

p=10% , n=100, x=19 

 

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