Question

explain why we cannot construct such an interval using the normal approximation. what might go wrong if we constructed the confidence interval despite this problem?

Answer 1

Null Hypothesis, $H_{0}$: The heart transplant operation had no impact on the patient's survival rates. Alternative Hypothesis, $H_{A}$: It was asserted that recipients of heart transplants had a higher chance of surviving than recipients of organs from other donors.

The large distribution from binomial, Poisson, etc. is approximated by the normal distribution. Furthermore, the variables are discrete and few, and we are working with counted data rather than real observations. Chi-square distribution should be used in the current scenario. We can determine if the two groups are the same or different by using the chi-square test. As a result, a confidence interval cannot be created.

In other words, the Null Hypothesis is true if the average for the two groups (control and treatment) is equal. In the alternative theory, The averages for the two groups (control and treatment) are different.

To learn more about confidence intervals:

brainly.com/question/17212516

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