Question

. Given a research experiment with a = .05, and β = .20. Calculate the following:                             

. Given a research experiment with a = .05, and β = .20. Calculate the following:                                           (1 point each)

  1. Given that the null is true, the probability of failing to reject the null equals _________.

  1. Given that the null is false, the probability of failing to reject the null equals   _________.
  1. Given that the null is false, the probability of rejecting the null equals _________.

Homework Answers

Answer #1

a) Power= 1 - beta= 1 - 0.20= 0.8

b) Beta = 0.20

c) 1 - alpha= 1 - 0.05= 0.95

power is 1- P[ accepting Ho / H1 is true] which is 1- Type 2 error(beta)

Beta is probablity of failing to reject null hypothesis or accepting Ho when in reality alternative that is H1 is true.

Alpha is the probablity when null hypothesis is true and we reject null hypothesis. Thus given null hypth false, the probablity of rejecting it will be 1- alpha

hope my answers are satisfactory.Please do leave a LIKE:)) Thanks!

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
1. Setting the significance level cutoff at .10 instead of the more usual .05 increases the...
1. Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of a. a Type I error. b. a Type II error. c. failing to reject the null hypothesis. d. accepting the null hypothesis when, in fact, it is false. 2. A Type I error is the result of a. improper measurement techniques on the part of the researcher. b. failing to reject the null hypothesis when, in fact, it is true. c. incorrectly...
An alpha (significance) level is set at .05 for a research study, What does this mean?...
An alpha (significance) level is set at .05 for a research study, What does this mean? A. A researcher is willing to reject the null hypothesis if the probability of the null hypothesis being true is lower than .05. B. A researcher is willing to reject the null hypothesis if the probability of the alternative hypothesis being true is lower than .05. C. A researcher is willing to reject the null hypothesis if the probability of the null hypothesis being...
The primary purpose of hypothesis testing is to attempt to reject the null hypothesis not to...
The primary purpose of hypothesis testing is to attempt to reject the null hypothesis not to accept the alternative hypothesis. True False In hypothesis testing, a Type 1 error is failing to reject the null hypothesis when it is true. failing to reject the null hypothesis when it is false. rejecting the null hypothesis when it is true. rejecting the null hypothesis when it is false. In general, the power of a statistical test is the probability that a test...
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,...
You complete a hypothesis test using a = .05, and based on the evidence from the...
You complete a hypothesis test using a = .05, and based on the evidence from the sample, your decision is to reject the null hypothesis. If the treatment actually has no effect, which of the following is true?​ Group of answer choices ​You have made a Type I error. ​You have made a Type II error. ​You might have made a Type I error, but the probability is only 5% at most. ​You have made the correct decision. ​For a...
ohn ran an experiment and found the "t" value to be significant at the .05 level....
ohn ran an experiment and found the "t" value to be significant at the .05 level. In actual fact the null hypothesis is true. What error has John committed and what are his chances of doing so? Type I error; 1 chance in 20. Type I error; 1 chance in 100. Type II error; 1 chance in 20. Type II error; about 85% chance
An experiment was designed to test a hypothesis that stated that high-drive subjects would be able...
An experiment was designed to test a hypothesis that stated that high-drive subjects would be able to learn a simple task much more quickly than would low-drive subjects. The experimenter’s operational definition of drive was each subject’s score on the Manifest Drive Scale. Twenty people who scored high on the scale (high-drive) and 20 people who scored low on the scale (low-drive) were given a simple task to learn. -Is the independent variable a true independent variable? (true or false)...
1. Which of the following statements is correct? a. For a given level of significance, the...
1. Which of the following statements is correct? a. For a given level of significance, the critical value of Student's t increases as n increases. b. A test statistic of t = 2.131 with d.f. = 15 leads to a clear-cut decision in a two-tailed test at d = .05. c. It is harder to reject the null hypothesis when conducting a two-tailed test rather than a one-tailed test. d. If we desire α = 0.10 then a p-value of...
Determine whether the BEST, most common interpretation of the given statement is:      TRUE - Select...
Determine whether the BEST, most common interpretation of the given statement is:      TRUE - Select 1      FALSE - Select 2 Question 1 options: 1 Type II error is the probability of failing to reject H0 when it is false. 2 In hypothesis testing, the ALTERNATIVE hypothesis states how the parameter of interest differs from the null hypothesis value. 3 The p-value is determined by the ALTERNATIVE hypothesis. 4 The p-value is the probability the null hypothesis is true....
The National Cancer Institute conducted a 2-year study to determine whether cancer death rates for areas...
The National Cancer Institute conducted a 2-year study to determine whether cancer death rates for areas near nuclear power plants are higher than for areas without nuclear facilities. A spokesperson for the Cancer Institute said, "From the data at hand, there was no convincing evidence of any increased risk of death from any of the cancers surveyed due to living near nuclear facilities.” (1 points for each)    Let p denote the proportion of the population in areas near nuclear...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT