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a. How should you interpret if Ari's Estimation Error is Negative? 5 b. Compare Ari's Weight Estimation Errors by Sight and by Sand. i. Find

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a. How should you interpret if Ari's Estimation Error is Negative? 5 b. Compare Ari's Weight Estimation Errors by Sight and by Sand. i. Find a 95% Confidence Interval for the Mean difference between Ari's Errors in estimating distances by Sand or Sight. (10) ii. Test that there Is a difference between Ari's Mean Estimation Errors by Sand and by Sight against the Hypothesis of No difference. (40) iii. Compare your Confidence Interval to your Test results. (10) c. Did Ari's Weight Estimation Errors by Sandbags decrease with more practice? i. Test at a = 0.05 that Ari's second Mean Estimation Error by Sand is lower than her first Mean Estimation Error. (40) ii. Find a Confidence Interval for the Mean difference between Ari's first and second Mean Errors in estimating Weights by Sandbag. (10) iii. Compare your Test results to your Confidence Interval. (10) d. Is there a Linear Association between Ari's Sight & Sand Errors? i. Draw a simple ScatterPlot of Sand Errors (y) against Sight Errors (x). (5) ii. Find the Correlation Coefficient between Ari's two types of Errors. 5 iii. Find the Regression Line for Sand Errors as a function of Sight Errors. 5 iv. Use the Coefficient of Variation to interpret how well this linear model (5 explains the relationship between Ari's Errors by Sight and by Sand. (145)

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