12 Jul http://www.irs.gov/pub/irs-pdf/f6744.pdf Using this link with the information posted within it, answer the following questions 2014 Basic Exam – Scenario 7: Warren and Shirley Graves 14. Warren has an Identity Protection PIN. How does this affect his return preparation? A. This return cannot be prepared at a volunteer site. B. The Identity Protection PIN must be entered during return preparation. C. The return must be filed as a paper return. D. All of the above. 15. What is the correct amount of taxable interest shown on the Graves’ Form 1040, line 8a? A. $0 B. $9 C. $800 D. $809 16. Is the Graves’ social security income taxable? A. No, because their total income is less than $60,000. B. No, social security benefits are never taxable. C. Yes, a portion of the social security income is taxable. D. Yes, all of the social security income is taxable. 17. Both Warren and Shirley are over 65. How does that affect their tax return? A. There is no effect. B. It increases their standard deduction C. It increases their personal exemptions. D. They must itemize their deductions. 18. Warren and Shirley want to avoid having a balance due next year. Shirley can submit a Form W4-P to have tax withheld on her pension. True False
http://www.gpower.hhu.de/Download G*Power and play around with it. See how changes in assumptions and parameters affect sample size estimates.Part 1Compare and contrast internal and external validity. Describe and give examples of research questions for which external validity is a primary concern. Describe and give examples of research questions in which internal validity is a primary concern. Discuss strategies researchers use in order to make strong claims about the applicability of their findings to a target population.Compare and contrast random selection and random assignment. Be sure to include a discussion of when you would want to do one or the other and the possible consequences of failing to do random selection or random assignment in particular situations.Explain the relationship between sample size and the likelihood of a statistically significant difference between measured values of two groups. In other words, explain why, all else being equal, as sample size increases the likelihood of finding a statistically significant relationship increases.Compare and contrast probability and non-probability sampling. What are the advantages and disadvantages of each?Part 2If you do a quantitative study for your dissertation, you must estimate the sample size you will need in order to have a reasonable chance of finding a relationship among the variables stated in your research hypotheses (should one exist), given your statistical analysis(es) and assumptions/calculations of factors 2-4 above. You must do this, even if you plan to use a convenience sample (see below). There are a number of sample size calculators available. Northcentral uses G*Power, which is required in this Activity. You will use G*Powers a priori power analysis function to calculate a sample size. If it yields an unrealistically large size sample, you will rethink your design and assumptions and, perhaps, use G*Powers compromise power analysis to estimate a workable sample size that makes sense. If you plan on using a convenience sample, you would use both analyses as part of your argument that your convenience sample is large enough.Main Task: Submit the Following 1. Calculate the sample size needed given these factors:one-tailed t-test with two independent groups of equal sizesmall effect size (see Piasta, S.B., & Justice, L.M., 2010)alpha =.05beta = .2Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample half the size. Indicate the resulting alpha and beta. Present an argument that your study is worth doing with the smaller sample.2. Calculate the sample size needed given these factors:ANOVA (fixed effects, omnibus, one-way)small effect sizealpha =.05beta = .23 groupsAssume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size. Give your rationale for your selected beta/alpha ratio. Indicate the resulting alpha and beta. Give an argument that your study is worth doing with the smaller sample.3. In a few sentences, describe two designs that can address your research question. The designs must involve two different statistical analyses. For each design, specify and justify each of the four factors and calculate the estimated sample size youll need. Give reasons for any parameters you need to specify for G*Power.Include peer-reviewed journal articles as needed to support your responses to Part I.Support your paper with a minimum of 5 resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included.
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