Lecture 2:Types of ErrorLevel of SignificanceType 1 Error occurs when we reject the null hypothesis when it is The probability of committing type 1 error is called level of significance.true. It is also called as alpha error (a error).Type 2 Error occurs when we fail to reject (accept) the nullhypothesis when it is false. It is also called beta error (8 error).It is denoted by the Greek letter alpha error (cc error). Thus, thevalue of alpha tells us the probability of making error in rejecting thenull hypothesis when it is true. The choice for the value of thesignificance level is determined by the researcher. This depends onthe risk or degree of confidence the researcher is willing to take incommitting Type I error. The commonly used levels of significance are0.05 and 0.01. The level of significance should be set before thetesting the hypothesis.Activity 2:C. Identify the type of error if there is any committed in each of the following situations.A true null hypothesis is accepted.1.2.A fallse null hypothesis is accepted.3.A true null hypothesis is rejected.4. A false null hypothesis is rejected.

Type I error: The type I error occurs when rejecting the null hypothesis when it is true. Type II…

Answered: Activity 2: C. Identify the type of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A tire manufacturer wants to get an estimate of the average length of road that can be traveled (in 100 km) by a brand new tire, until the tire breaks. The assumption is that the tires are used fairly in relatively the same road conditions. For this purpose, research has been carried out on the tire production and obtained the average road that can be traveled until the tire is damaged, which is 25,300 km, and the standard deviation is estimated at 6,100 km. - What is the probability that the tire can reach more than 25,000 km.
Rejection of the null hypothesis in the two-sample case imp;ies thatr the a. samples are different on the trait of interest b. populations from which the samples are drawn are different on the trait of interest c. samples are not different on the trait of interest d. populations from which the samples are drawn are not different on the trait of interest
20. Which of the following is a null hypothesis? a. Pregnant women who drink cranberry juice will have lower urine bacterial counts than those who do not drink cranberry juice. b. The urine bacterial count of pregnant women who drink cranberry juice will be lower or equal to that of pregnant women who do not drink the juice. c. There will be a difference between ingestion of cranberry juice and among pregnant women who do and do not have high urine bacterial counts.
Which of the following is not a correct way to state a null hypothesis? A Ho:P1- P2= o B Ho: H1 - H2 =0 C Ho: H=0 D Ho: p=0.5
Which of the following is an example of a Type 2 error? Rejecting a false null hypothesis. Rejecting a true null hypothesis. Failing to reject a false null hypothesis. Failing to reject a true null hypothesis.
2. A certain health magazine stated * that 14% of men said they used exercise to reduce stress. At a=0.05 test the claim wherein, from a random sample of 100 men who were selected, 10 said that they used exercise to relieve stress. Which of the following is the appropriate null hypothesis of the problem? A. p = 14% B. p ≤ 14% C. p≥ 14% D. p 14% O A. B. D.
Discuss one of the following topics. Write a brief but complete essay (minimum 200 words) in which you answer one the following questions. Cite any sources that you use. (a) What is a null hypothesis, H0 ? Describe its importance.
You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit
Which of the following statements is true if when using null hypothesis testing, our p value (in the "sig" column of SPSS output) is 0.051? Reject the null hypothesis Fail to reject the null hypothesis Reject the alternative hypothesis Fail to reject the alternative hypothesis
When is a researcher at risk of making a type 2 error? whenever H0 is rejected whenever H1 is rejected whenever H0 fails to reject the risk of a type 2 is independent of the decision from a hypothesis test
If a hypothesis test is performed and the null hypothesis is rejected in favor of the alternative hypothesis, does the test prove that the alternative hypothesis is correct? Choose the correct answer below. A.The test does not prove the alternative hypothesis correct, because only one test was done, and it takes at least hypothesis tests to prove a claim about a population parameter. B.The test does not prove the alternative hypothesis correct, because of the possibility of rejecting the null hypothesis when the null hypothesis is true. C.The test proves the alternative hypothesis correct, because once the null hypothesis is rejected, the only possibility that remains is for the alternative hypothesis to be true. D.The test proves the alternative hypothesis correct, because it shows that all the evidence suggests that the alternative hypothesis is true.
which of the following statements are true about ALTERNATE hypotheses? Please select all that apply. They posit that any relationship we observe between two variables is true in the population but not necessarily in samples from that population. They posit that there is a relationship between two variables in the population. They posit that any relationship we observe between two variables is the result of random chance They posit that any relationship we observe between two variables is not the result of random chance They posit that there is no relationship between two variables in the population. which of the following statements about p values are correct? Please select all that apply. They imply larger effect sizes They prove that the alternate hypothesis is true They correspond to the probability that we would observe a relationship between two variables in our sample, if there was no true relationship between them in the population They prove that the null hypothesis is true…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Activity 2: C. Identify the type of error if there is any committed in each of the following situations. 1. A true null hypothesis is accepted. 2. A fallse null hypothesis is accepted. A true null hypothesis is rejected. A false null hypothesis is rejected. 3. 4.