Errors in testing: Think of one example of a Type I and Type II error in everyday life and comment on the ramifications of those errors.
Errors in testing: Think of one example of a Type I and Type II error in...
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...
Discuss what is meant by Type I and Type II errors in hypothesis testing.
b) With one sample example explain the possibility of occurrence of type I error and Type II error in oil and gas industry in detail and how are these two errors related and how to reduce the chance of this two types of error?
Which of the following is/are true? Type I and Type II error probabilities are complements Type I and Type II errors cannot both occur in one hypothesis test. Type I and Type II error probabilities are conditional probabilities. At least one of Type I or Type II errors must occur.
What would be Type I or Type II errors in these scenarios: If a consumer group wants to see if people can tell whether they are drinking tap water or bottled water would this create a Type I or Type II error? If a college instructor wishes to see whether his students prefer to work on assignments individually or in groups would a Type I or Type II error occur? If a teacher is evaluating a program designed to improve...
Explain “Type II Error” (β) in hypothesis testing.
In §9.2 the concepts of Type I and Type II errors are introduced. Consider the situation where a husband and wife go to the doctor’s office to each get some tests run and the doctor accidentally mixes up their charts. The doctor comes into the exam room with the results of the tests and declares that the wife is NOT pregnant but her husband IS indeed pregnant with a baby. How does this illustrate the concepts behind Type I and...
In §9.2 the concepts of Type I and Type II errors are introduced. Consider the situation where a husband and wife go to the doctor’s office to each get some tests run and the doctor accidentally mixes up their charts. The doctor comes into the exam room with the results of the tests and declares that the wife is NOT pregnant but her husband IS indeed pregnant with a baby. How does this illustrate the concepts behind Type I and...
The term "error" is used two different ways in hypothesis testing: 1) Type I error (or Type II) and 2) standard error. What can a researcher do to influence the size of the standard error? Does this action have any effect on the probability of a Type I error? What can a researcher do to influence the probability of a Type I error? (4 points)
Describing Type I and Type II errors—A power plant discharges water into a river. Regulators determine that as long as the mean temperature of the discharged water is no more than 150°F, there will be no negative effects on the river’s ecosystem. Data will be collected to test the following hypotheses: ?0: μ = 150°F ??: μ > 150°F A.) Describe a Type I error in the context of this problem B.) Describe a Type II error in the context...