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- Plzzz explain c) and d) with explaination. TyThe boxplot below shows salaries for Construction workers and Teachers. Construction Teacher 20 25 30 35 40 45 50 Salary (thousands of S) If a person is making the maximum salary for a construction worker, they are making more than what percentage of Teachers?Which among the following is considered as health outcome? DISSATISFACTION DESTITUTION IMPROVED HEALTH SEEKING BEHAVIOR GETTING VACCINATED AFTER HEALTH EDUCATION A. I and II B. I, II and III C. I, II, III, IV D. III AND IV
- The boxplot below shows salaries for Actuaries and CPAS. СРА Actuary + 30 35 40 45 50 55 60 65 70 75 80 Salary (thousands of $) Tiffany makes the median salary for an Actuary. Mariah makes the first quartile salary for a CPA. Who makes more money? Tiffany O Mariahp value onlyuse the OLS approach to estinstimate relationship between maize yields and fertilizer applications given the table below; interpret your results. maize yields; 31, 36, 29, 34, 62, 60, 45, 31, 42, 48 fertilizer; 23, 25, 19, 35, 32, 54, 26, 20, 18, 23
- What is the coefficient of the dummy variable? What is the meaning of the coefficient of the dummy variable?Direction: Explain each study described in each scenario. (Sample Surveys Study, Experiment Study or Observational Study). Please answer only (Sample Surveys Study, Experiment Study or Observational Study) and please explain why. Thank you so much and God bless!- Input the data in IBM SPSS - State the step by step process and explain Case analysis: Workers at a tree farm decided to test the efficacy of three fertilizer mixtures (A,B and C) on the growth of Norway maple seedlings, Acer platanoides. The table below contains the heights of seedlings (in feet) for the three fertilizer treatments. Determine if there are significant differences in the heights among the three treatments. Use also the appropriate posthoc for mean separation, if necessary. A 2.0 2.1 2.4 ~23m 2.8 489 2.9 3.1 3.2 3.7 278 AW 3.8 4.1 STATISTICAL TOOL USED: CONCLUSION: B 2.3 2.9 1.5 1.2 1.9 1.9 3.4 NW 2.1 2.6 2.4 с 3.1 1.5 2.2 2.9 1.7 2.1 2.8 1.5 2.8 2.2
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