NSG 3029 CH1 (13) QUIZ | UPDATED ANSWERS

NSG 3029 CH1 (13) QUIZ Chapter 13 1. Inferential analysis answers the question: A. What is going on? B. What is the question? C. Are you sure? D. Who is the Primary Investigator? 2. Quantitative analyses are generally grouped into the following categories: A. Parametric and non parametric B. Quasi-experimental and Non-Quasi-experimental C. Experimental and Non-experimental D. Time-series analysis 3. The strength of inferential analysis is derived from: A. Comparison of differences to standard error B. Hypothesis testing C. Calculation of the probability of error D. A and C 4. Confidence intervals are more accurate in representing population parameters than: A. Variable analysis B. Point estimates C. Sample size descriptors D. Unit measurements 5. The three commonly accepted ways to find the minimum importance difference include all of the following except: A. Compare the change in the outcome to some other measure of chance B. Compare the change to a sampling distribution to determine its probability C. Consult an expert panel D. Statistical Analysis 6. Experimental, Quasi-experimental, causal-comparative, and case-control designs are all studies suited to this type of analysis: A. Bivariate B. Inferential C. Historical D. Univariate 7. The researcher makes decisions about the appropriateness of a statistical test based on the following factors except: A. Number of groups to be tested B. Level of measurement of the independent and dependent variables C. Statistical and mathematical assumptions of the test D. Systematic appraisal 8. There are three versions of the t-test except: A. One-sample t-test B. Two-sample t-test C. Independent-samples t-test D. Paired-sample t-test 9. There are three kinds of chi square tests that are commonly used, including all the following except: A. Chi square test of association B. Chi square test of independence C. Chi square test of fit D. Chi square test of assumptions 10. Which test listed below is the most frequently used statistical test: A. Mean B. Standard Deviation C. Chi Square D. ANOVA