Understanding Type I and Type II Errors

In hypothesis testing, errors can occur when deciding whether to reject or not reject a null hypothesis. A Type I error occurs when the null hypothesis is incorrectly rejected when it is true. Conversely, a Type II error happens when the null hypothesis is not rejected when it is false. Suppose a researcher is testing a new drug's effectiveness compared to a placebo.

If the researcher concludes that the drug is effective when it actually is not, this situation presents a Type I error. On the other hand, if the researcher fails to conclude that the drug is effective when it really is effective, this situation constitutes a Type II error. Based on this unders\tanding, which of the following statements is true regarding the errors?