Peer Reply 1 Review one of your classmates' post In the context of their hypothesis test, discuss what the Type I Error and Type II Error would mean using a Decision Table as your guide What level of significance would you suggest based on what a Type I Error or Type II Error would mean Recall that Type I Error is defined as rejecting the null hypothesis when in fact it should not be (i e , False Positive , False Alarm , defendant found guilty when in fact not guilty) Type II Error is defined as not rejecting the null hypothesis when in fact it should be rejected (i e , False Negative , defendant found not guilty when in fact guilty) This is what the Peer Answered Summarize the advertising claim as shared in the media What population parameter (mean, , or proportion, p ) is the claim about If you were to formulate a hypothesis test about this product service, what would your null and alternative hypothesis be (Be sure to use all the correct notations for H 0 and H a ) State whether you have a one tailed lower, one tailed upper, or two tailed test (Be sure you use the correct inequality signs) This is an example for the peer reply Null hypothesis, Ho H 96 hours Alternate hypothesis, Ha H alpha you could be at risk of getting bitten by a mosquito Not a good idea Based on the Type I error and it is not a big deal if we have this error, I would suggest a higher level of significance since we want to be really sure that our customers are not getting a product that doesn't do what it says it should do I would choose a 0 01 (99 confidence level)

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Posted on Jul 08, 2024

Peer Reply #1: Review one of your classmates' post. In the context of their hypothesis test, discuss what the Type I Error and Type II

Peer Reply #1: Review one of your classmates' post. In the context of their hypothesis test, discuss what the Type I Error and Type II Error would mean using a Decision Table as your guide. What level of significance would you suggest based on what a Type I Error or Type II Error would mean?

Recall that: Type I Erroris defined as rejecting the null hypothesis when in fact it should not be. (i.e., "False Positive", "False Alarm", defendant found guilty when in fact not guilty)

Type II Erroris defined as not rejecting the null hypothesis when in fact it should be rejected. (i.e., "False Negative", defendant found not guilty when in fact guilty)

This is what the Peer Answered:

Summarize the advertising claim as shared in the media. What population parameter (mean, ?, or proportion,p) is the claim about?
If you were to formulate a hypothesis test about this product/service, what would your null and alternative hypothesis be? (Be sure to use all the correct notations for H₀and H_a)
State whether you have a one-tailed lower, one-tailed upper, or two-tailed test (Be sure you use the correct inequality signs).

This is an example for the peer reply

Null hypothesis, Ho: H = 96 hours Alternate hypothesis, Ha: H = alpha you could be at risk of getting bitten by a mosquito. Not a good idea! Based on the Type I error and it is not a big deal if we have this error, I would suggest a higher level of significance since we want to be really sure that our customers are not getting a product that doesn't do what it says it should do! I would choose a = 0.01 (99% confidence level)