Question

Which one is the correct statement? Choose all applied. A. We can increase the power of...

Which one is the correct statement? Choose all applied.

A. We can increase the power of a test by decreasing type 2 error.

B. power of a test = 1- type 2 error.

C. We can increase the power of a test by increasing type 1 error.

D. We can increase the power of a test by increasing the size of random sample.

Homework Answers

Answer #1

We know that,

Power = P(type I error)

Power = 1 - P(type II error)

Therefore,

A. We can increase the power of a test by decreasing type 2 error.

B. power of a test = 1- type 2 error.

C. We can increase the power of a test by increasing type 1 error.

D. We can increase the power of a test by increasing the size of random sample.

All the option are correct.

Since, type II error is power, by decreasing the type 2 error we can increase power

B. Is also correct

C. Is also correct, since power is directly proportional to type I error, option C. is also correct.

D. It is also correct, since the power can be increased by increasing the sample size

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
If the conclusion of a test is " reject H0" with 0.05 alpha, then which one...
If the conclusion of a test is " reject H0" with 0.05 alpha, then which one is the correct statement? (choose all that apply) a. Type1 = 0.05 and Type2 = 0 b. Type1 = 0 and Type2 = 0 c. Type1 = 0 and Type2 = 0.05 d. Type1 = 0 and Type2 = unknown amounts If the conclusion of a test is " do not reject H0" with 0.05 alpha, then which one is the correct statement? a....
Which of the following is correct about the power of the test? Check all that apply....
Which of the following is correct about the power of the test? Check all that apply. a. As alpha increases, power decreases. b. As standard error decreases, power increases. c. As Type I error increases, power increases. d. As effect size increases, power increases. e. As sample size increases, power increases. f. As sample size increases, power is unaffected. g. As Type II error decreases, power decreases.
Which one is the correct statement? Choose all applied. a. If you are interested in US...
Which one is the correct statement? Choose all applied. a. If you are interested in US households, proportion of 500 US households who do not have any health insurance is a point estimate of proportion of all US households who do not have any health insurance. b. If you are interested in US households, mean income of 500 US households is a random variable. c. If you are interested in US households, mean income of 500 US households is a...
TRUE/FALSE. Explain. 1.) Power + B (beta) = 1 2.) You can increase power and decrease...
TRUE/FALSE. Explain. 1.) Power + B (beta) = 1 2.) You can increase power and decrease (Alpha) at the same time by increasing sample size. 3.) alpha= 1- beta 4.) alpha is the significance level and the probability of type II error 5.)Type II error is rejection the null when the null is true. 6.)There is more than one way to increase power. 7.)Statistical significance implies practical significance.
1. Which of the following can be found outside of a cell's membrane? (Choose ALL correct...
1. Which of the following can be found outside of a cell's membrane? (Choose ALL correct answers) A. cytoskeletal proteins B. Extracellular matrix carbohydrates (polysaccharides) C. extracellular side of membrane proteins D. Extracellular matrix proteins2 2. Which types of molecules can act as signaling molecules? (Choose ALL correct answers) A. neurotransmitters (small molecules) B. proteins C. lipids 3. In order for a cell to receive a signal (such as a hormone), what does it have to have? (Choose ALL correct...
Which of the following statement is correct? a. Type I errors can only occur if you...
Which of the following statement is correct? a. Type I errors can only occur if you fail to reject H0. b. Type II errors can only occur when you reject H0. c. When the sample size increases, both the probability of making Type I errors and the probability of making Type II errors can decrease. d. The level of significance is the probability of making a Type II error.
Which of the following statements are TRUE Note that there may be more than one correct...
Which of the following statements are TRUE Note that there may be more than one correct answer; select all that are true. a) The power of a test is only influenced by the hypothesized parameter value, and not the true parameter value. b) For a two-sided alternative hypothesis, as the difference between the true parameter value and the hypothesized parameter value increases, the probability of a Type I error increases. c) It is desirable to have tests with high power,...
1.Suppose we are testing a set of hypotheses using a significance level of 0.05. For which...
1.Suppose we are testing a set of hypotheses using a significance level of 0.05. For which of the following p-values would we reject the null hypothesis? Select all that apply. A. 0.06 B. 0.11 C. 0.02 D. 0.005 2. To increase the power of a hypothesis test, we can (select all that apply): A. Increase the sample size B. Decrease the sample size C. Increase the significance level D. Decrease the significance level
Power is the rate of doing work. To increase Power, based on the equation, we can...
Power is the rate of doing work. To increase Power, based on the equation, we can increase the work and keep time constant, or keep work constant but decrease the time over which it is done. Imagine you are coming home after grocery shopping. You have 5 large, heavy grocery bags. You can take them all in one trip or you can take 2 trips. Answer the following questions. Which scenario has greater work done, carrying all the bags in...
1. Choose the correct statistical decision at the 0.05 significance level based on the given research...
1. Choose the correct statistical decision at the 0.05 significance level based on the given research finding. A researcher measured the amount of relationship as “4.68” from the normal distribution with mean = 2 and standard deviation = 1. A. The observed sample relationship is inside the critical region. B. The observed sample relationship is outside the critical region. C. We need more information to decide. D. There is no significant relationship 2. When the p-value is observed as 0.014,...