Question

If we reject the null hypothesis and we were wrong to do so, what type of...

If we reject the null hypothesis and we were wrong to do so, what type of error have we made? Give an example of a research situation in which this could occur.

Homework Answers

Answer #1

Type 1 error is rejection of true null hypothesis and Type 2 error is non-rejection of full null hypothesis

Here we reject the null hypothesis and we were wrong to do so, hence it is Type 1 error

For example, we are testing the hypothesis that population mean is less than 40

So hypothesis is vs

Now after test we conclude that mean is less than 40, so we rejected the null hypothesis, but it is wrong and mean is equal to 40. So Type 1 error.

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
Indicate whether the following statement is true or false. If we do not reject the null...
Indicate whether the following statement is true or false. If we do not reject the null hypothesis, it is possible we have made both type I and type II errors. In an upper tail hypothesis test for the mean, the critical value is 2.575 and the test statistic is 2.5. In this case, the null hypothesis should not be rejected. The calculated p-value should be divided by 2 to make the decision for a two tail test. The sampling error...
How do you decide whether to reject or fail to reject the null hypothesis? [1 sentence]...
How do you decide whether to reject or fail to reject the null hypothesis? [1 sentence] How do you tell whether the test is left, right, or two tailed? [3 bullets] Why can we never accept the null hypothesis? [2 sentences] Why does decreasing the probability of making a type one error increase the probability of making a type two error? [2 sentences] How does a researcher decide the level of significance for a hypothesis test? [3 sentences] Please answer...
Suppose evidence is found to accept a null hypothesis. However, you ignore this evidence and reject...
Suppose evidence is found to accept a null hypothesis. However, you ignore this evidence and reject the null hypothesis anyway. You have just made…. A. a correct decision B. a new null hypothesis C. a Type I Error D. a Type II Error
Using your own words, what does it mean if we fail to reject the null hypothesis?...
Using your own words, what does it mean if we fail to reject the null hypothesis? What if we reject the null hypothesis? What does that mean? The key to answering this discussion posting is to use your own words to describe what it means to reject or fail to reject the null hypothesis. Don't use the terms in the textbook or online presentation. Using an example you personally create may help explain the difference. Thank you for your help.
1.Type 1 error is... a.Correctly rejecting the null hypothesis. b.Rejecting the null hypothesis when it’s actually...
1.Type 1 error is... a.Correctly rejecting the null hypothesis. b.Rejecting the null hypothesis when it’s actually true. c.Correctly failing to reject the null hypothesis. d.Failing to reject the null hypothesis when it’s actually false. 2.Power is defined as the probability of... a.Correctly rejecting the null hypothesis. b.Correctly failing to reject the null hypothesis. c.Failing to reject the null hypothesis when it’s actually false. d.Rejecting the null hypothesis when it’s actually true. 3. From Study Example 1: Based on the sample,...
IF IN AN HYPOTHESIS TEST I FAIL TO REJECT Ho, WHAT TYPE OF ERROR MIGHT I...
IF IN AN HYPOTHESIS TEST I FAIL TO REJECT Ho, WHAT TYPE OF ERROR MIGHT I HAVE MADE. A. TYPE I B. TYPE II C. TYPE 5 D. SUBTRACTION ERROR.
1. Why do we say that we "fail to reject" the null instead of saying "accept"?...
1. Why do we say that we "fail to reject" the null instead of saying "accept"? 2. When selecting a significance level, why should we consider the consequences of a type 1 error? 3. Based on the QQ plot, does the variable age pass the normality assumption? 4. If we set our alpha at 0.05, that means a) we have a 5% chance of making a type 1 error b)we have a 5% chance of being correct c) 5% of...
1. In hypothesis testing, the only two legitimate outcomes are either to not reject the null...
1. In hypothesis testing, the only two legitimate outcomes are either to not reject the null hypothesis or to reject the null hypothesis and accept the alternate hypothesis. Notice that the first conclusion specifically does not say to accept the null hypothesis. Why not? 2. In all of the cases we discussed the hypothesized difference in the mean was zero. Would it be possible to have a hypothesized difference of something other than zero? If so can you think of...
When we conduct a hypothesis test, there are two ways to make a mistake. The null...
When we conduct a hypothesis test, there are two ways to make a mistake. The null hypothesis might be correct, and we end up rejecting it. This is called a Type I error. On the other hand, the null hypothesis might be false, and we fail to reject it. This is called a Type II error. Either type of error can be costly, though not necessarily equally costly. In the following two scenarios, think about what is the alternative hypothesis?...
When you incorrectly reject the null hypothesis and claim there are significant differences between your two...
When you incorrectly reject the null hypothesis and claim there are significant differences between your two means, and no such difference exists in the population, you have a(n)______ Type I Error Unstandardized effect size Type II Error There is not enough information given to determine A Type II Error occurs when you fail to reject the null hypothesis when it is true True or False