Question

For the 2 questions below, circle the word(s) that complete the sentence correctly. a. (A type...

For the 2 questions below, circle the word(s) that complete the sentence correctly.

a. (A type I error / A type II error / Power) is defined to be the probability of rejecting H0 when
Ha is true.

b. When you perform a hypothesis test the (null / alternative) hypothesis is assumed to be true.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

a. type I error is defined to be the  

probability of rejecting H0 when
Ha is true.

b. When you perform a hypothesis test the null hypoth is assumed to be true.

Add a comment
Know the answer?
Add Answer to:
For the 2 questions below, circle the word(s) that complete the sentence correctly. a. (A type...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample d...

    1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it. True False 2. The first step in testing a hypothesis is to establish a true null hypothesis and a false alternative hypothesis. True False 6. The power curve provides the probability of Correctly accepting the null hypothesis Incorrectly accepting the null hypothesis Correctly rejecting the alternative hypothesis Correctly rejecting the null hypothesis 7. Suppose that                  Ho: μ ≤...

  • Select the correct definition of the p-value of a test from the answer choices below: The...

    Select the correct definition of the p-value of a test from the answer choices below: The probability that the null hypothesis is true The probability that, assuming the null hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that, assuming the alternative hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that the alternative hypothesis is false, given that the null hypothesis...

  • State whether the following statements true or false, and Why? 1. The type I error and...

    State whether the following statements true or false, and Why? 1. The type I error and type II error are related. A decrease in the probability of one generally results in an increase in the probability of the other. 2. The size of the critical region, and therefore the probability of committing a type I error, can always be reduced by adjusting the critical value(s). 3. An increase in the sample size n will reduce α and β simultaneously. 4....

  • Which of the following statements is FALSE? a.) The power of a hypothesis test is the...

    Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.

  • Identify the two types of incorrect decisions in a hypothesis test. For each incorrect​ decision, what...

    Identify the two types of incorrect decisions in a hypothesis test. For each incorrect​ decision, what symbol is used to represent the probability of making that type of​error? Choose the correct answer below. A.A Type I error is accepting a false null​ hypothesis, whose probability is denoted alphaα. A Type II error is not accepting a true null​ hypothesis, whose probability is denoted betaβ. B.A Type I error is not rejecting a false null​ hypothesis, whose probability is denoted alphaα....

  • α is the probability of a Type I error, which occurs when we accept the alternative...

    α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...

  • When conducting a hypothesis test for a given sample size, if the probability of a Type...

    When conducting a hypothesis test for a given sample size, if the probability of a Type I error decrease, the the A. probability of incorrectly not rejecting the null hypothesis decreases. B. probability of incorrectly not rejecting the null hypothesis increases. C. probability of incorrectly rejecting the null hypothesis increases. D. probability of type II error decreases.

  • You read that a statistical test at the α=0.01 level has probability 0.14 of making a...

    You read that a statistical test at the α=0.01 level has probability 0.14 of making a Type II error when a specific alternative is true. What is the power of the test against this alternative? Suppose we tested the null hypothesis that the weight of a McDonald's quarter pounder is 0.25 pounds (H0 : µ = 0.25) against the alternative that the weight is below 0.25 pounds (Ha : µ < 0.25). After collecting a sample our observed z statistic...

  • You read that a statistical test at the α=0.01 level has probability 0.14 of making a...

    You read that a statistical test at the α=0.01 level has probability 0.14 of making a Type II error when a specific alternative is true. What is the power of the test against this alternative? Suppose we tested the null hypothesis that the weight of a McDonald's quarter pounder is 0.25 pounds (H0 : µ = 0.25) against the alternative that the weight is below 0.25 pounds (Ha : µ < 0.25). After collecting a sample our observed z statistic...

  • 1. Multiple choice. Circle all the correct answers a) You flip a coin 100,000 times and...

    1. Multiple choice. Circle all the correct answers a) You flip a coin 100,000 times and record the outcome in a Xi 1 if the toss is "Heads" and 0 if its "Tails. The Law of Large Numbers says that: i. ii. It is impossible for the first n flips to all be "Heads" if n is large. With high probability, the share of coin flips that are "Heads" will approximate 50%. The sample mean of X is always 0.5...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT