1) Imagine you are explaining to your friend how Type I and Type II errors work....

1) Imagine you are explaining to your friend how Type I and Type II errors work. You friend then asks you, “Why don’t researchers just set the alpha error rate really low (like .01%) every time so the odds they make a Type I error are very small?” Explain to your friend why scientists don’t set the alpha error rate to a very small value every time they do research. Can you think of a reason why a scientist would consider setting the alpha error rate to a smaller value than the traditional .05? Provide an example that illustrates your reasoning. Your example can be a hypothetical or real situation. NOTE: Do NOT reuse any examples I provided in the Chapter 9 video lectures.

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orchestra answered 1 year ago

Type I and Type II Errors . Please discuss Type I and Type II errors. What...

Type I and Type II Errors . Please discuss Type I and Type II errors. What are they? Discuss their relationship with hypothesis testing. Answer all parts of question!!! Do not plagiarize!! Write out the answer on here, don't post a picture of it! Answer must be long!

Type I and II Errors

A manufacturer of 40-amp fuses wants to make sure that the mean amperage at which its fuses burn out is in fact 40. If the mean amperage is lower than 40, customerswill complain because the fuses require replacement too often. If higher, the manufacturer might be liable for damage. To verify the amperage of the fuses, a sample offuses is to be selected and inspected. If a hypothesis test were to be performed on the resulting data, what null and...

Explain what Type I and Type II errors are.

A) Hypothesis Testing - Type I and Type II errors: You test the claim that the...

A) Hypothesis Testing - Type I and Type II errors: You test the claim that the mean gas mileage of all cars of a certain make is less than 29 miles per gallon (mpg). You perform this test at the 0.10 significance level. What is the probability of a Type I error for this test? B)Sleep: Assume the general population gets an average of 7 hours of sleep per night. You randomly select 40 college students and survey them on...

Explain Type I and Type II errors in detail ( with example of your choice). Define...

Explain Type I and Type II errors in detail ( with example of your choice). Define level of significance and p Values. Interpret P-value of 0.023 in Hypothesis testing in general.

Q24 Describe what is meant by Type I and Type II errors and explain how these...

Q24 Describe what is meant by Type I and Type II errors and explain how these can be reduced in hypothesis testing. [4 Marks] DO NOT WRITE THE ANSWER - USE WORD FORMAT. NO PLAGIARISM IN THE ANSWER PLEASE.

8) Errors: Type I and Type II are errors that are possible even when a hypothesis...

8) Errors: Type I and Type II are errors that are possible even when a hypothesis test is done correctly. A hypothesis test is based on probabilities (p-values) This means there is always a probability of drawing the wrong conclusion even when done correctly. Please review the following: a.) What are type I and type II errors? b.) Be able to discuss what a type I or type II error is in a given scenario c.) What is the relationship...

State in your own words what is meant by Type I and Type II errors. Why...

State in your own words what is meant by Type I and Type II errors. Why are these important? Name one thing that can be done to improve internal validity of a study. only detailed and good term related with references that are research related. Thanks

1. Explain Type I and Type II errors. Which one is not controllable by the experimenter?

• What is the level of significance? • What are Type I and Type II errors?...

• What is the level of significance? • What are Type I and Type II errors? • Interpreting and determining p-values • What is the relationship between sample size and power? • Understand the difference between a p-value and a confidence interval—strengths and weaknesses

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