The proportion of Americans who have frequent migraines is 15.2% according to the CDC. An acupuncturist claims that her treatment can reduce this figure significantly. A random sample of 698 Americans is administered the acupuncturists treatment and 80 report experiencing migraines. I highly recommend you explore the possible errors with a contingency table, making note of the meaning of each possibility. Ho is Actually Action Do not Reject Ho Reject Ho True Ο Ηρ: μ = 0.152 Ha: μ < 0.152 a. Select the Null and Alternative Hypotheses to the scenario using the correct symbols. Ho: p < 0.152 Ha: p = 0.152 False Ho: p = 0.152 Ha: p < 0.152 b. Explain what a type 1 error is in this scenario. A type 1 error would be concluding that the migraine treatment cannot reduce occurence of frequent migraines when in fact it cannot. O A type 1 error would be concluding that the migraine treatment can reduce occurence of frequent migraines when in fact, it cannot. O A type 1 error would be concluding that the migraine treatment can reduce occurence of frequent migraines when in fact, it can. O A type 1 error would be concluding that the migraine treatment cannot reduce occurence of frequent migraines when in fact it can

There are 9 million enrollees in the Department of Veterans Affairs health care system. It wants doctors and nurses to treat pain as a “fifth vital sign” to be recorded along with blood pressure, pulse, temperature, and breathing rate. If you were to aid the VA in this situation, how would you measure a patient’s pain? How could this “fifth vital sign” be a potentially invalid measure? Answer each question with at least one paragraph of three complete sentences.

A researcher designs an intervention to combat anti-Arab oppression. She also designs a questionnaire to measure anti-Arab oppression so she can test the participants' level of anti-Arab oppression before and after the intervention. She tests one version of her questionnaire with 45 statements and a shorter version with 12 statements. In both questionnaires, the participants respond to each statement with a rating on a 5-point Likert scale with 0 equaling "strongly disagree" and 4 equaling "strongly agree." The overall score for each participant is the mean of his or her ratings for the different statements on the questionnaire. Look at the following graphs. Graph I graphs the results from the long version, and Graph II graphs the results from the short version. Graph I Graph II PARTICIPANTS PARTICIPANTS 8 8 7 7 6 6 4 4 3 3 2 1 1 1 2 3 4 2 4 LONG QUESTIONNAIRE SCORE SHORT QUESTIONNAIRE SCORE Complete the following sentences by trusting your eyes to see meaningful differences in the two…

Which of the following conclusion would represent a Type II error? Concluding that the average voter turnout at presidential election will change when in fact turnout will not /did not change. Concluding that the average voter turnout at presidential election will not change when in fact turnout will / did change.

Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house price? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps for your method. Also, will you conclude that larger house corresponding to higher price (justify)?

A researcher is testing if listening to 2 Chainz helps with studying. He finds that it does not. However, after more research is conducted, it is found that listening to 2 Chainz does indeed aid in studying. Is this Type I or Type II error?

A professor claims that the average grade of students in her courses is 80%. Identify Type II error for this claim. O Fail to reject the claim that average grade is 80% when it is actually 80%. O Fail to reject the claim that average grade is 80% when it is actually different from 80%. O Reject the claim that average grade is 80% when it is actually 80%. O Reject the claim that average grade is 80% when it is actually different from 80%.