Question

1) Give an example of a type I error. 2.     Give an example of a...

1) Give an example of a type I error.

2.     Give an example of a type II error.

3.     What type of t-test would you use when the same group is tested twice at different time points?

Homework Answers

Answer #1

Solution :

1. Type I error is the "False Positive" error. For example, when a defendant is not guilty, but was declared guilty by the jury or judges. The probability of this error is denoted by Alpha.


2. Type II error is the “False Negative" error. Building on the above example, a defendant is guilty, but was declared as innocent by the jury or judges. The probability of this error is denoted by Beta.

.
3. A Paired sample t-test compares means from the same group at different times (say, one year apart).
So, a paired sample t-test should be used.


Let me know in the comment section if anything is not clear. I will reply ASAP!
If you liked the answer, please give an upvote. This will be quite encouraging for me.Thank-you!

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. Provide a real world example of a Type I error. 2. Explain what a critical...
1. Provide a real world example of a Type I error. 2. Explain what a critical value is, and explain how it is used to test a hypothesis. 3. Explain what a p-value is, and explain how it is used to test a hypothesis. 4. How do we decide whether to use a z test or a t test when testing a hypothesis about a population mean?
  Provide a real world example of a Type I error. 2.  Explain what a critical value is,...
  Provide a real world example of a Type I error. 2.  Explain what a critical value is, and explain how it is used to test a hypothesis. 3.  Explain what a p-value is, and explain how it is used to test a hypothesis. 4.  How do we decide whether to use a z test or a t test when testing a hypothesis about a population mean?
1. When would you use an Independent t-test? Give an example of the type of research...
1. When would you use an Independent t-test? Give an example of the type of research question.
Which of the following statements is true? 1.Type I error refers to β, or the probability...
Which of the following statements is true? 1.Type I error refers to β, or the probability that we conclude treatments are not different from each other when in reality the treatments are different from each other 2.Type II error refers to α, or the probability that we conclude the treatments are different from each other when in reality the treatments are not different. 3.Type II error refers to β, or the probability that we conclude treatments are not different from...
(1 point) Type I error is: A. Deciding the null hypothesis is true when it is...
(1 point) Type I error is: A. Deciding the null hypothesis is true when it is false B. Deciding the alternative hypothesis is true when it is false C. Deciding the null hypothesis is false when it is true D. Deciding the alternative hypothesis is true when it is true E. All of the above F. None of the above Type II error is: A. Deciding the null hypothesis is false when it is true B. Deciding the alternative hypothesis...
Question 1 : The answers listed below are characteristics of a Type I error EXCEPT for...
Question 1 : The answers listed below are characteristics of a Type I error EXCEPT for one. Select the characteristic that is not for Type I error a) upsetting status quo for falsehood b) a 'missed opportunity' c) reject null hypothesis with null is true question 2: The answers listed below are characteristics of a Type II error EXCEPT for one. Select the characteristic that is not for Type II error a) do not reject null hypothesis when it is...
What is the difference between Type 1 and Type II error? How is Type I error...
What is the difference between Type 1 and Type II error? How is Type I error related to α? How is Type II error related to power?
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:...
Consider the following statements. (i) If a hypothesis is tested at the 5% significance level with...
Consider the following statements. (i) If a hypothesis is tested at the 5% significance level with a given data set, then there is a lower chance that the null hypothesis will be rejected than if that same hypothesis is tested at the 1% significance level with the same data set. (ii) P(Type I Error) + P(Type II Error) = 1. (iii) If a hypothesis test is performed at the 5% significance level, and if the alternative hypothesis is actually true,...
Typically, when we decrease the probability of a type I error for a hypothesis test, we:...
Typically, when we decrease the probability of a type I error for a hypothesis test, we: decrease the probability of a type II error increase the probability of a type II error