What is the consequence of a Type I error?​Group of answer choices​Concluding that a treatment has no effect when it really has no effect​Concluding that a treatment has no effect when it really does​Concluding that a treatment has an effect when it really does​Concluding that a treatment has an effect when it really has no effect

Use the situation below to answer the next two questions Q34 and 35, describe what it means in that context to make a Type I and Type II error.Testing a new drug with potentially dangerous side effects to see if it is significantly better than the drug currently in use. If it is found to be more effective, it will be prescribed to millions of people. In this scenario, making a Type I error means: Group of answer choicesWe do not find any difference between the drugs.We find evidence that the new drug is more effective but it is really not any better.The new drug is more effective.We find evidence that the new drug is more effective.We do not find enough evidence that the new drug is more effective but it really is more effective.

A Type I error occurs when we:Group of answer choicesreject a true null hypothesis.do not reject a false null hypothesis.Do not reject a true null hypothesis.reject a false null hypothesis.

A type I error means that:1 point The null hypothesis is true, and you do not reject the null hypothesis. The null hypothesis is true, and you reject the null hypothesis. The null hypothesis is false, and you reject the null hypothesis. The null hypothesis is false and cannot reject the null hypothesis.

It is the assumption that the independent variable has had no effect.Select one:a.null hypothesisb.alternative hypothesisc.type II errord.type I error

The error of rejecting a true null hypothesis is ____.Group of answer choicesa Type I errora Type II erroreither type I and Type II error, depending on the situationcommitted when not enough information is available