An athlete has just been drafted by both the NBA to play professional basketball and by MLB to play professional baseball. In order to assist him in deciding whích offer to pursue, he enlists a statistician to test whether or not NBA athletes or ALB athletes are more líkely to suffer a concussion. The statistician believes that athletes in both leagues are equally likely to suffer a concussion, but decides to test this belief at the a = 0.05 level of significance using a confidence interval. Let PN represent the proportion of NBA players that have suffered from a concussion and pM represent the proportion of MLB players that have suffered from a concussion. (Round your results to three decimal places) Which would be correct hypotheses for this test? O Ho:PN # PM, H1:PN > PM O Ho:PN = PM, H1: PN # PM O Ho:PN = PM, H1:PN < PM O Ho:PN = PM, H1:PN > PM If we are going to test this using a confidence interval, which confidence interval should we construct? O 95% O 80% O 97.5% O 90% In a random sample of 231 NBA players, 151 were found to have suffered from at least one concussion. In a random sample of 206 MLB players, 141 were found to have suffered from at least one concussion. Construct the confidence interval: < PN - PM < Which is the correct result: O O is contained in the confidence interval, so we Do not Reject the Null Hypothesis O O is not contained in the confidence interval, so we Reject the Null Hypothesis O O is not contained in the confidence interval, so we Do not Reject the Null Hypothesis O O is contained in the confidence interval, so we Reject the Null Hypothesis Which would be the appropriate conclusion? O There is significant evidence to support the claim that the proportions of NBA and MLB players who suffer from a concussion are the same. O There is not significant evidence to support the claim that the proportions of NBA and MLB players who suffer from a concussion are the same.

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An athlete has just been drafted by both the NBA to play professional basketball and by MLB to play
professional baseball. In order to assist him in deciding which offer to pursue, he enlists a statistician to
test whether or not NBA athletes or ALB athletes are more likely to suffer a concussion. The statistician
believes that athletes in both leagues are equally likely to suffer a concussion, but decides to test this
belief at the a = 0.05 level of significance using a confidence interval. Let PN represent the proportion
of NBA players that have suffered from a concussion and pM represent the proportion of MLB players that
have suffered from a concussion. (Round your results to three decimal places)
Which would be correct hypotheses for this test?
O Ho:PN PM, H1:PN > PM
O Ho:PN = PM, H1: PN PM
O Ho:PN = Pm, H1:PN < PM
O Ho:PN = PM, H1:PN > PM
If we are going to test this using a confidence interval, which confidence interval should we construct?
O 95%
O 80%
O 97.5%
O 90%
In a random sample of 231 NBA players, 151 were found to have suffered from at least one concussion. In a
random sample of 206 MLB players, 141 were found to have suffered from at least one concussion.
Construct the confidence interval:
* PN – Pm <
Which is the correct result:
O O is contained in the confidence interval, so we Do not Reject the Null Hypothesis
O O is not contained in the confidence interval, so we Reject the Null Hypothesis
O O is not contained in the confidence interval, so we Do not Reject the Null Hypothesis
O O is contained in the confidence interval, so we Reject the Null Hypothesis
Which would be the appropriate conclusion?
O There is significant evidence to support the claim that the proportions of NBA and MLB players who
suffer from a concussion are the same.
O There is not significant evidence to support the claim that the proportions of NBA and MLB players
who suffer from a concussion are the same.
Transcribed Image Text:An athlete has just been drafted by both the NBA to play professional basketball and by MLB to play professional baseball. In order to assist him in deciding which offer to pursue, he enlists a statistician to test whether or not NBA athletes or ALB athletes are more likely to suffer a concussion. The statistician believes that athletes in both leagues are equally likely to suffer a concussion, but decides to test this belief at the a = 0.05 level of significance using a confidence interval. Let PN represent the proportion of NBA players that have suffered from a concussion and pM represent the proportion of MLB players that have suffered from a concussion. (Round your results to three decimal places) Which would be correct hypotheses for this test? O Ho:PN PM, H1:PN > PM O Ho:PN = PM, H1: PN PM O Ho:PN = Pm, H1:PN < PM O Ho:PN = PM, H1:PN > PM If we are going to test this using a confidence interval, which confidence interval should we construct? O 95% O 80% O 97.5% O 90% In a random sample of 231 NBA players, 151 were found to have suffered from at least one concussion. In a random sample of 206 MLB players, 141 were found to have suffered from at least one concussion. Construct the confidence interval: * PN – Pm < Which is the correct result: O O is contained in the confidence interval, so we Do not Reject the Null Hypothesis O O is not contained in the confidence interval, so we Reject the Null Hypothesis O O is not contained in the confidence interval, so we Do not Reject the Null Hypothesis O O is contained in the confidence interval, so we Reject the Null Hypothesis Which would be the appropriate conclusion? O There is significant evidence to support the claim that the proportions of NBA and MLB players who suffer from a concussion are the same. O There is not significant evidence to support the claim that the proportions of NBA and MLB players who suffer from a concussion are the same.
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