What does it mean for a hypothesis test to be statistically significant? How is this different...
Homework Answers
Answer:
A hypothesis test is said to be statistically significant when the p-estimation of the test is less than the level of significance. Fundamentally, a measurably huge outcome is a result which isn't credited to chance. At the end of the day, if the null hypothesis of the test is valid, there is a low likelihood that the outright estimation of test-measurement will be not as much as that of obtained estimation of test-measurement.
This is not the same as our practical thought of significance as statistical significance doesn't imply practical significance. The test utilized for factual importance depends upon the decision of level of significance. A test can be significant measurably at 5% level of criticalness if the p-esteem is 0.04, anyway it won't be noteworthy at 1% level of significance. Functional importance depends more upon individual judgment.
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What does it mean for a hypothesis test to be statistically
significant? How is this different...
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1. a What is a hypothesis test? What is it used for? How are the null...
1. a What is a hypothesis test? What is it used for? How are the null and alternative hypothesis determined? . What are the 3 ways to set up hypotheses? C. Why can't we "accept” a null hypothesis? d. How do we determine if we reject or fail to reject a nuil hypothesis? e. What are the key pieces needed when writing a conclusion? f. Describe the difference between statistically significant and practically significant.
Conduct a hypothesis test to see if the zyban only treatment produces a statistically significant result....
Conduct a hypothesis test to see if the zyban only
treatment produces a statistically significant result.
Assume the population proportion of success for the placebo
treatment is 19%.
1) Choose the the null and alternative hypotheses from the
options below:
a) H0: p = 0.19
Ha: p < 0.19
or
b) H0: p = 0.19
Ha: p > 0.19
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1. a What is a hypothesis test? What is it used for? How are the null and alternative hypothesis determined? . What are the 3 ways to set up hypotheses? C. Why can't we "accept” a null hypothesis? d. How do we determine if we reject or fail to reject a nuil hypothesis? e. What are the key pieces needed when writing a conclusion? f. Describe the difference between statistically significant and practically significant.
Conduct a hypothesis test to see if the zyban only
treatment produces a statistically significant result.
Assume the population proportion of success for the placebo
treatment is 19%.
1) Choose the the null and alternative hypotheses from the
options below:
a) H0: p = 0.19
Ha: p < 0.19
or
b) H0: p = 0.19
Ha: p > 0.19
Subjects not smoking after 6 months 30 Treatment Placebo Nicotine patch Zyban Zyban and Nicotine patch Subjects Participating 160 244 244...
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