Question

A Type I error means that a researcher has... concluded that a treatment has no effect...

A Type I error means that a researcher has...

concluded that a treatment has no effect when it really has no effect.

concluded that a treatment has an effect when it really has no effect.   

concluded that a treatment has an effect when it really does.

concluded that a treatment has no effect when it really does.

Homework Answers

Answer #1

Answer: a researcher has concluded that a treatment has an effectw it really has no effect.

Explanation:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A Type II error occurs when the researcher concludes that two sample means are not significantly...
A Type II error occurs when the researcher concludes that two sample means are not significantly different, even though in fact the population means are different. True False QUESTION 36 A Type II error occurs when the researcher concludes that two sample means are significantly different, even though in fact the population means are the same. True False
research hypothesis stating the treatment effect in contrast to the statement of null effect alternative hypothesis...
research hypothesis stating the treatment effect in contrast to the statement of null effect alternative hypothesis central limit theorem sampling bias two-tailed test upper probability value allowed for rejecting the null hypothesis significance level parameter type 1 error two-tailed test drawing conclusions about a population from sample data empirical data inferential statistics discrete distribution random sampling Assume that a new treatment for helping alcoholics isn't any better than an old treatment. A researcher, who doesn't know this, designs a study...
Power Example: A researcher is examining a treatment effect. The population has the following properties: μ=...
Power Example: A researcher is examining a treatment effect. The population has the following properties: μ= 74, with s= 15. He expects a treatment effect of 5. To test this effect he has a sample of 25 participants and tests the effect at the .05 level. What is the power of the test?
Professor Kirk concluded that a new medication significantly lowers patients' risk of heart attack. However, it...
Professor Kirk concluded that a new medication significantly lowers patients' risk of heart attack. However, it turns out that the drug has no effect. Professor Kirk has made a(n) Type I error. Type II error. Type III error. omnibus error.
question 1: What type of Error is each part. H0 : New system is no better...
question 1: What type of Error is each part. H0 : New system is no better than the old one      H1 : New system is better. I. A new system is adopted, when the new one really is better.                 a. correct decision                  b) Type II error                     c) Type I error II. The old system is retained, when really the new one is better.                 a. correct decision                  b) Type II error                     c) Type I error III. The old...
The population effect size is related to: A.the probability of a Type I error. B. how...
The population effect size is related to: A.the probability of a Type I error. B. how false the alternative hypothesis is. C.how false the null hypothesis is.
Regarding the definition of Type I and Type II error, which of the following is correct?...
Regarding the definition of Type I and Type II error, which of the following is correct? A) Type I error: Fail to reject the null hypothesis when it is actually false. B) Type II error: Reject the null hypothesis when it is actually true. C) The probability of Type I error is equal to the significance level. D) Neither Type I error nor Type II error can be controlled by the experimenter.
Is it worse to make a Type I or a Type II error? [Think carefully before...
Is it worse to make a Type I or a Type II error? [Think carefully before you answer.] Explain what it means, and why.
a researcher conducts a hypothesis test to evaluate the effect of the treatment that is expected...
a researcher conducts a hypothesis test to evaluate the effect of the treatment that is expected to increases scores. the hypothesis test produces a z-score of z= 2.75. if the researcher is using a one tailed test, what is the correct statistical decision?
For the given significance test, explain the meaning of a Type I error, a Type II...
For the given significance test, explain the meaning of a Type I error, a Type II error, or a correct decision as specified. A health insurer has determined that the "reasonable and customary" fee for a certain medical procedure is $1200. They suspect that the average fee charged by one particular clinic for this procedure is higher than $1200. The insurer performs a significance test to determine whether their suspicion is correct using α = 0.05. The hypotheses are: H0:...