Define the following terms:a. experimental factorb. classication factorc. fixed effect factord. random effect factor
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Define the following terms:
a. experimental factor
b. classication factor
c. fixed effect factor
d. random effect factor
a)
Experimental factor:
If the experimental units are randomly assigned to the factor levels, then the factor is called the experimental factor.
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- 2. Researchers wanted to study physical activity in children, so they gave 74 randomly chosen children a "FitBit" to record how many steps they took each day. Additionally, the scientists recorded each child's Body Mass Index (BMI) and grade in school. Grade was coded as middle or high school. The results of their analysis are below: Table 1 - Factors Contributing to Daily Steps Taken Intercept BMI Grade_middle Estimate 6,350.2 -137.5 1,302.4 SE 316.1 54.9 588.3 a. Calculate the test statistics for each predictor in the model and determine which are significant (you don't have to write full conclusion for each as long as you indicate which are significant). Given: critical value = 1.99 b. Interpret the estimate of Grade_middle in context. c. Suppose a middle-school student with a BMI of 20 took 6,000 steps in a day. Calculate this student's residual.The following data has been collected on the interarrival times of calls to a call center: 3.33, 4.21, 5.12, 1.24, 0.11, 10.23, 7.65, 1.23, 4.44, 2.89, 4.92, 3.87, 2.67, 3.51, and 5.90 minutes. Estimate the squared coefficient of variation of the arrival process. Is the arrival process likely to be Poisson? Why or why not?An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Compact 50 41 Car Intermediate 56 44 Full-sized 62 47 Use a = 0.05 to test for any significant differences. State the null and alternative hypotheses. O Ho: Hcompact * HIntermediate * HFull-sized Ha: "Compact = HIntermediate = 4Full-sized O Ho: HComputerized * HElectronic Ha: HComputerized = HElectronic O Ho: HComputerized = HElectronic Ha: "Computerized * HElectronic O Ho: HComputerized = HElectronic = "Compact = HIntermediate = "Full-sized H.: Not all the population means are equal. O Ho: HCompact = HIntermediate = HFull-sized Hai H compact * HIntermediate * HFull-sized Find the value of…
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- 3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…Create an Excel Spreadsheet for a beer rating study Evaluate the impact of caffeine on crankiness Write the APA formatted results for this analysis, including R2 for the results and post hoc analyses if needed Participant ID. Caffeine Level Crankiness Score 1 0 MG 40 2 0 MG 42 3 0 MG 30 1 50 MG 30 2 50 MG. 45 3 50 MG 38 1 100 MG 53 2 100 MG 65 3 100 MG 64il. CENGAGE MINDTAP apter 13 Assignment 3. 4. 5. 6. 7. 9. 8. Ebay 0. O O O O FP-See What's Hot A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Source of Variation Factor A Factor B Interaction Error Total Sum of Squares 1976.3 1248 2818.6 3530 Test for any significant main effects and any interaction. Use a = 0.05. Round Sum of Squares to the whole number, F value, Mean Square to two decimals, if necessary, and p-value to four decimals. 9573 FF Geres 9/ O €3 Degrees of Freedom 1 2 2 6 11 Factor A 31 1976.3 Mean Square 624 Pokemon Eestis.. 1409.3 Level 1 588.33 Level 2 Level 1 115 145 135 95 F value 3.36 1.06 Factor B Level 2 100 76 2.4 117 125 p-value 0.1165 Level 3 55 83 0.4033 0.1719 100 156 Conclusion Not significant Not significant Q Search this course Not significant Oct 21 X 6:46 ?