Which of the following is a valid reason for using nonparametric methods?
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Which of the following is a valid reason for using nonparametric methods?
A. To incorporate domain knowledge as a finite-dimensional model in the analysis.
B. We are reluctant to assume strong conditions on the data.
C. To have the best possible analytical result.
D. None of the above.
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- The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.determine the following statement is a valid reason for using nonparametric methods? - We are reluctant to assume strong conditions on the data. (True or False)Solve the following problems based on the step-by-step procedure of the Non-Parametric Tests. Show complete solutions and answer. Use the following listed chest deceleration measurements (in g, where g is the force of gravity) from samples of small, midsize, and large cars. Use a 0.05 significance level to test the claim that the different size categories have the same median chest deceleration in the standard crash test. Small 44 39 37 54 39 44 42 Midsize 36 53 43 42 52 49 41 Large 32 45 41 38 37 38 33
- 32 Sick leave of employees in a factory before and after Covid-19 was investigated in a year. Which of the following is the test statistic value in the hypothesis of whether there is a difference between the sick leaves of the employees? (The data do not satisfy the parametric assumption). 32 - a) 15.5 B) 7.5 NS) 5.5 D) 3,5 TO) 9.5Solve the following problems based on the step-by-step procedure of the Non-Parametric Tests. Show complete solutions and answer. When nicotine is absorbed by the body, cotinine is produced. A measurement of cotinine in the body is therefore a good indicator of how much a person smokes. Listed below are the reported numbers of cigarettes smoked per day and the measured amounts of nicotine (in ng/ml). Is there a significant correlation at alpha = 0.05? x (cigarettes/day) 60 10 4 15 10 1 20 8 7 10 10 20 y (cotinine) 179 283 75.6 174 209 9.51 350 1.85 43.4 25.1 408 344Solve the following problems based on the step-by-step procedure of the Non-Parametric Tests. Show complete solutions and answer. The table below lists body temperature of seven subjects at 8AM on Days 1 and 2. The data are matched pairs because each pair of temperatures (in degree Fahrenheit) is measured from the sample person. Use Wilcoxon signed-rank test and a 0.10 significance level to test the claim of no difference between body temperatures at 8AM on both days. Temperature at 8AM on Day 1 98.2 96.6 97.4 97.4 98.2 97.4 97.8 Temperature at 8AM on Day 2 97.0 96.8 96.6 96.6 96.2 97.6 98.6
- Fit a curve of the form y = abx in least square sence to the data given below:Determine the best (according to sum-of-squares-measure) curve y = Axb, through the dataabove.Transformed equation ln(y) = ln(A) + b ln(x)orY = a + bX.Use the diagnostic plots to provide answers to the following questions, no justification necessary.Is there serious ground to include a quadratic term in the model? YES/ NOIs there serious ground to doubt the homoscedasticity assumption? YES/ NOIs there serious ground to doubt that the errors are normal? YES/ NO
- Solve the following problems based on the step-by-step procedure of the Non-Parametric Tests. Show complete solutions and answer. Listed below are amounts of strontium-90 (in millibecquerels, or mBq, per gram of calcium) in a simple random sample by baby teeth obtained from Pennsylvania residents and New York residents born after 1979. Use a 0.05 significance level and Wilcoxon rank-sum test to test the claim that the median amount of strontium-90 from Pennsylvania residents is the same as the median from New York residents. Pennsylvania 155 142 149 130 151 163 151 142 156 133 138 161 New York 133 140 142 131 134 129 128 140 140 140 137 143A)What would the consequence be for a regression model if the errors were not homoscedastic? (B) How might you proceed if you found that (b) were actually the case?Is a negative Pseudo R² in Tobit regression a problem?
