A newspaper article headline claims that bystanders perform CPR correctly 43% of cases where needed. A healthcare professional believes the percentage is higher. She cites a study of 880 cases in which 396 bystanders performed CPR correctly. Test this hypothesis at the 0.01 significance level. Round-off your answers correct to 2 decimal places. a) Find the critical value(s). If there are two values (2 -tail test), type the negative value first and separate them with a comma. b) Calculate the test statistic c) Make a decision. Type R if you choose to "Reject the null hypothesis" Type F if you choose to "Fail to reject the null hypothesis.

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A newspaper article headline claims that bystanders perform CPR correctly 43% of cases where
needed. A healthcare professional believes the percentage is higher. She cites a study of 880
cases in which 396 bystanders performed CPR correctly. Test this hypothesis at the 0.01
significance level.
Round-off your answers correct to 2 decimal places.
a) Find the critical value(s). If there are two values (2 –tail test), type the negative value first and
separate them with a comma.
b) Calculate the test statistic
c) Make a decision.
Type R if you choose to "Reject the null hypothesis"
Type F if you choose to "Fail to reject the null hypothesis.
d) If your decision is incorrect, what type of error would you be committing?
Type 1- for Type I error.
Type 2 - for Type 2 error.
Transcribed Image Text:A newspaper article headline claims that bystanders perform CPR correctly 43% of cases where needed. A healthcare professional believes the percentage is higher. She cites a study of 880 cases in which 396 bystanders performed CPR correctly. Test this hypothesis at the 0.01 significance level. Round-off your answers correct to 2 decimal places. a) Find the critical value(s). If there are two values (2 –tail test), type the negative value first and separate them with a comma. b) Calculate the test statistic c) Make a decision. Type R if you choose to "Reject the null hypothesis" Type F if you choose to "Fail to reject the null hypothesis. d) If your decision is incorrect, what type of error would you be committing? Type 1- for Type I error. Type 2 - for Type 2 error.
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