If the sample data produce a test statistic (z-score) that is in the critical re

Question

If the sample data produce a test statistic (z-score) that is in the critical region, then which of the following is the appropriate conclusion for the test? A Type I error is defined as In a hypothesis test, an extreme, low-probability value for the z-score is an indication that _____. A z-score that is used for hypothesis testing is also called a _____. If you fail to reject the null hypothesis, it means that the data do not provide sufficient evidence to say that the treatment has an effect True of false? If a researcher is predicting that a treatment will increase scores, then the critical region for a directional test will be in the right-hand tail. True of false? To be more confident that a treatment actually does have a real effect, a researcher should use a large value for alpha True of false? In a research report, the notation p

Explanation / Answer

Here ,

we have given that

The sample data produce z socre that is in critical region .

Z score : z score gives us the distance between mean and standard deviation. and it is also use in hypothesis testing

(42) type 1 error occurs when one rejects the null hypothesis when it is true.the probablity of type 1 error is the level of significance of the test of hypothesis which is denoted by alpha defined as one tailed test of hypothesis

(43) In hypotheis testing ,

if we get the extream or small value of z score then it means that we reject the null hypothesis Ho.

(44) z test used in hypothesis testing is also known as standard normal test to make significance.

(45) here we fail to reject Ho null hypothesis

means that we accept null hypothesis Ho.

and we provide data do not provide sufficient evidence to say that the treatment has an effect.

So, This statement is TRUE

(46) Here researcher is predicting that a treatment increses scores.

obiously , the as z score increses the critical region for the directional test will be right hand tail.

so, this statement is TRUE.

(47) As well as we increses alpha we are not more condident that the treatment actually does have a real effect.

if we have builds more confidence that then we use small apha

(48) given statement is TRUE

(49) this statement is TRUE

becasue by increse in level of apha 0.01 to 0.05 will increses the power of the statistical test

as alpha increses beta decreases and as alpha decreses beta increses.

and power of the test= 1- beta.

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.