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

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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A Type I error is defined as a. rejecting a null hypothesis when it is in fact true b. rejecting a false null hypothesis c. failing to reject a true null hypothesis d. failing to reject a false null hypothesis
State the null and alternative hypotheses of the following statements and determine if it is one tailed or two tailed test.
-Find the correct null hypothesis and for each correct alternative hypothesis 7. Suppose you hear a claim that the average score on a national exam is 78. You think the average is higher than that, and your sample of 100 students produces an average of 75. What are the null and alternative hypotheses?
A study done on a marriage counseling course showed that the proportion of couples for which the communication program can prevent divorce is 79%. Suppose we have strong reason to believe the proportion is less than 79%, and we carry out a hypothesis test. State the null hypothesis H0 and the alternative hypothesis H1 that we would use for this test. 1. Ho: 2. H1:
Which of the following below could be the null hypothesis ? ( look at the image )
A type Il error A. is the rejection of a true null hypothesis. OB. arises when the false null hypothesis is not rejected. OC. arises when the true null hypothesis is not rejected. OD. is the rejection of a false null hypothesis.
A type Il error A. arises when the false null hypothesis is not rejected. O B. is the rejection of a false null hypothesis. C. arises when the true null hypothesis is not rejected. D. is the rejection of a true null hypothesis.
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.
All test of hypothesis are based on the assumptions that A. The null hypothesis is true B. The observed difference is important c. The null hypothesis is false and should be rejected D. Type l errors are more serious than type ll errors E. None of the above
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

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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.