PLZ ASAP True or False: The larger is the sample size(s) used in the test, the s

Question

PLZ ASAP

True or False: The larger is the sample size(s) used in the test, the smaller is the beta risk. True or False: As variability decreases, the power increases. True or False: Minimizing the risk of Type l error increases the risk of making a Type II error. True or False: The smaller the delta, the easier it is to detect. True or False: ANOVA tells you which sample is different List the four main factors that need to be considered in order to calculate power. What is the advantage of ANOVA over multiple 2 sample t-tests? Why do you use power analysis? When do you use power analysis?

Explanation / Answer

5) False 6) True 7) True 8) True 9)True 10) Sample size , standard deviation, Difference between Hypothesized and True Mean and Significance Level

11) The t-test compares the means between 2 samples and is simple to conduct, but if there is more than 2 conditions in an experiment a ANOVA is required. The fact the ANOVA can test more than one treatment is a major advantage over other statistical analysis such as the t-test, it opens up many testing capabilities but it certainly doesn’t help with mathematical headaches. It is important to know that when looking at the analysis of variance an IV is called a factor, the treatment conditions or groups in an experiment are called the levels of the factor. ANOVA’s use an F-ratio as its significance statistic which is variance because it is impossible to calculate the sample means difference with more than two samples.

12a & b) Before you do an experiment, you should perform a power analysis to estimate the number of observations you need to have a good chance of detecting the effect you're looking for i.e.  to analyze your evaluation results, you should first conduct a power analysis to determine what size sample you will need.In other words, power is the probability that you will reject the null hypothesis when you should (and thus avoid a Type II error). It is generally accepted that power should be .8 or greater; that is, you should have an 80% or greater chance of finding a statistically significant difference when there is one.

Related Questions

Navigate

• Browse (All)
• Browse P
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.