Two types of medication for hives are being tested. The manufacturer claims that the new medication A is more effective than the standard medication B and undertakes a comparison to determine if medication A produces relief for a higher proportion of adult patients within a 40-minute time window. In a random sample of 40 adults given medication A, 34 were symptom-free after 40 minutes. In a random sample of 34 adults given medication B, 28 were symptom-free after 40 minutes. The hypothesis test is to be carried out at a 1% level of significance. 1.Assume you've conducted a statistical test and found a statistically significant difference between the means of two groups. Why is it important to also consider the effect size? 2.Distinguish between dependent samples and independent samples in terms of how participants are selected and assigned to conditions in an experiment. 3.Use examples to distinguish between a "between-subjects" design and a "within-subjects" design. 4.Describe what is meant by power of a statistical test. Why do researchers generally want to have maximum power in their tests? 5.Describe a scenario where a two-sample test of means could be used to answer a research question. Provide a brief summary of the scenario and state the null and alternative hypotheses in words and symbols.