Describe the issue that would arise if you were to run a series of t-tests to compare differences between four means. Why is it preferable to use ANOVA instead?

What is the difference between the predictor variable and the criterion variable?

Describe a scenario where a researcher could use a Two-Way ANOVA to answer a research question. Fully describe the scenario and the variables involved and explain the rationale for your answer. Why is that test appropriate to use?

The Nero Match Company sells matchboxes that are supposed to have an average of 40 matches per box, with o = 8. A random sample of 92 matchboxes shows the average number of matches per box to be 42.9. Using a 1% level of significance, can you say that the average number of matches per box is more than 40? What are we testing in this problem? O single mean O single proportion (a) What is the level of significance? State the null and alternate hypotheses. O Ho: H = 40; H1: H + 40 O Ho: p = 40; H: p > 40 O Ho: H = 40; H1: µ 40 (b) What sampling distribution will you use? What assumptions are you making? O The Student's t, since we assume that x has a normal distribution with unknown o. O The standard normal, since we assume that x has a normal distribution with unknown o. O The Student's t, since we assume that x has a normal distribution with known o. O The standard normal, since we assume that x has a normal distribution with known o. What is the value of the sample test statistic?…

What are post-hoc tests and why should you do these instead of multiple t-tests?

When and why would you conduct an ANOVA rather than a t-test?

Opposing a random sample of size and equal 16A sample average of 185 it is observed the P value of the sample statistic is

What conclusions can be drawn from a study with a “statistical significance” result?   What information do you look at to evaluate whether an effect obtained in an experiment is large enough to have a “practical” or “clinical” significance?

Why are post hoc tests performed?

Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?