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.

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.

In statistics, a Type I error is called a false positive. They occur when we mistakenly reject a hypothesis that is actually true. A Type II error is a false negative. They occur when we mistakenly accept a hypothesis that is actually false.Imagine you run an experiment to determine whether the kilometers per kilowatt(km/kWh) differs significantly between two models of electric vehicle: Tesla Model Y and Chevrolet Bolt. You hypothesize that there is no difference in their efficiency. Based on your findings, you determine your hypothesis is right and there is no difference between the km/kWh. Later, you learn that there is a significant difference in the km/kWh of these two models. What type of error did you commit?

A type I error occurs when the sample results lead to the rejection of the null hypothesis when it is, in fact, true.Select one:TrueFalse

Which of the following best describes a Type I error?

What type of error occurs when a null hypothesis is wrongly rejected?Type I ErrorType II ErrorStandard ErrorSampling Error