With the massive amount of data available, broadcasters will often provide very specific statistics For example, It would be wise to pass the ball to Reggie, as historically he shoots much better in the 3 rd quarter during weekday games in April Suppose we test the evidence using a 0 05 significance level Assuming that Reggie doesn't have a greater ABILITY to shoot in the 3 rd quarter during weekday games in April, how likely is that we would find convincing evidence that he has a greater ABILITY in this context Suppose that none of the 360 players in a particular season have a greater ability to shoot in the third quarter during weekday games in April If we analyzed all 360 players from this season using a significance level of 0 05, about how many players would have performances that give convincing evidence that they have a greater ability to shoot in the third quarter during weekday games in April

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Question: With the massive amount of data available, broadcasters will often provide very specific statistics. For example, It would be wise to pass the ball to

With the massive amount of data available, broadcasters will often provide very specific statistics. For example, "It would be wise to pass the ball to Reggie, as historically he shoots much better in the 3^rd quarter during weekday games in April." Suppose we test the evidence using a 0.05 significance level.

Assuming that Reggie doesn't have a greaterABILITY to shoot in the 3^rd quarter during weekday games in April, how likely is that we would find convincing evidence that he has a greaterABILITY in this context?
Suppose that none of the 360 players in a particular season have a greater ability to shoot in the third quarter during weekday games in April. If we analyzed all 360 players from this season using a significance level of 0.05, about how many players would have performances that give convincing evidence that they have a greater ability to shoot in the third quarter during weekday games in April?

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