A type I error is where we reject a true null hypothesis (Ho). a. True b....
A type I error is where we reject a true null hypothesis (Ho). a. True b. False
A type II error is where we fail to reject a false null hypothesis (Ho). a. True b. False
A claim may go in either in the Ho (null hypothesis) or Ha (H1, alternate hypothesis) depending on the key words in the statistical word problem. a. True b. False
Homework Answers
Solution :
A type I error is where we reject a true null hypothesis (Ho). a. True
A type II error is where we fail to reject a false null hypothesis (Ho). a. True
A claim may go in either in the Ho (null hypothesis) or Ha (H1, alternate hypothesis)
depending on the key words in the statistical word problem. a. True
Add Answer to:
A type I error is where we reject a true null hypothesis (Ho).
a. True b....
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis...
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis and the null hypothesis is not true reject the null hypothesis and the null hypothesis is true fail to reject the alternative hypothesis and the alternative hypothesis is not true reject the alternative hypothesis and the alternative hypothesis is true
Question 19 (5 points) A Type I error occurs in hypothesis testing when we Question 19...
Question 19 (5 points) A Type I error occurs in hypothesis testing when we Question 19 options: a) reject the alternative hypothesis and the alternative hypothesis is true. b) fail to reject the null hypothesis and the null hypothesis is false. c) fail to reject the alternative hypothesis and the alternative hypothesis is false. d) reject the null hypothesis and the null hypothesis is true. Question 20 (5 points) A golfer claims that his average golf score at the course...
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
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...
please show your work...................... The probability of a Type I error is denoted by C. a...
please show your work......................
The probability of a Type I error is denoted by C. a d, 1-α b. 1-B a. b. c. d. A Type I error is committed if we make a correct decision when the null hypothesis is false a correct decision when the null hypothesis is true an incorrect decision when the null hypothesis is false. an incorrect decision when the null hypothesis is true 6. a. b. c. d. A Type Il error is committed...
Please explain it with proper reasoning. 3. The following statements are very important. Give them some careful thought and discuss them (a) When we fail to reject the null hypothesis, we do not clai...
Please explain it with proper reasoning.
3. The following statements are very important. Give them some careful thought and discuss them (a) When we fail to reject the null hypothesis, we do not claim that it is abso- lutely true. We simply claim that at the given level of significance, the data were not sufficient to reject the null hypothesis (b) When we accept the alternate hypothesis, we do not claim that the null hypothesis is absolutely false. We do...
TRUE OR FALSE 1. A type 2 error occurs when we reject a true null hypothesis...
TRUE OR FALSE 1. A type 2 error occurs when we reject a true null hypothesis 2. All Chi- Square tests are right tailed tests. 3. It is valid to use the correlation coefficient to describe the relationship between major and working-status of a group of college students 4. If we decrease the Type 1 error rate, the Type 2 error rate will increase (given the same sample) 5. As the value of correlation coefficent (r) gets closer to -1,...
The notion of Type I and Type II Errors is very important in hypothesis testing. The...
The notion of Type I and Type II Errors is very important in hypothesis testing. The Ho/Ha should be set up such that a Type I Error is more serious than a Type II Error. A common example used to discuss Type I and Type II errors is the example of a trial in the US. Under US law, a defendant is considered "innocent until proven guilty." You could set up this hypothesis test as follows: Ho: defendent is...
When a false null hypothesis is not rejected, a.we commit a type i error b. we...
When a false null hypothesis is not rejected, a.we commit a type i error b. we choose the wrong alpha c. we commit a type ii error d. we commit a type ii error e.we rely on the p value to see the probability of the null hypothesis being correct
1) Determine whether each of the following applies to the mull or the alternative hypothesis. A)...
1) Determine whether each of the following applies to the mull or the alternative hypothesis. A) Ho B) Ha or H C) The hypothesis that has equality (i.e. no difference). D) The hypothesis that has no equality (i.e. greater, less, or different). E) The hypothesis we assume is true until we have evidence to reject it. F) The research hypothesis. The goal in a hypothesis test is to test a claim. hypothesis. hypothesis. G) The statistical evidence can only support...
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
please show your work......................
The probability of a Type I error is denoted by C. a d, 1-α b. 1-B a. b. c. d. A Type I error is committed if we make a correct decision when the null hypothesis is false a correct decision when the null hypothesis is true an incorrect decision when the null hypothesis is false. an incorrect decision when the null hypothesis is true 6. a. b. c. d. A Type Il error is committed...
Please explain it with proper reasoning.
3. The following statements are very important. Give them some careful thought and discuss them (a) When we fail to reject the null hypothesis, we do not claim that it is abso- lutely true. We simply claim that at the given level of significance, the data were not sufficient to reject the null hypothesis (b) When we accept the alternate hypothesis, we do not claim that the null hypothesis is absolutely false. We do...
1) Determine whether each of the following applies to the mull or the alternative hypothesis. A) Ho B) Ha or H C) The hypothesis that has equality (i.e. no difference). D) The hypothesis that has no equality (i.e. greater, less, or different). E) The hypothesis we assume is true until we have evidence to reject it. F) The research hypothesis. The goal in a hypothesis test is to test a claim. hypothesis. hypothesis. G) The statistical evidence can only support...
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