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\section{Output of R Code}  \begin{verbatim}  [1] "Shapiro-Wilks results for time data: "  Shapiro-Wilk normality test  data: times.10  W = 0.8473, p-value = 0.03938  Shapiro-Wilk normality test  data: times.20  W = 0.909, p-value = 0.2372  Shapiro-Wilk normality test  data: times.30  W = 0.9464, p-value = 0.6504  F test to compare two variances  data: times.10 and times.20  F = 0.5942, num df = 10, denom df = 10, p-value = 0.4247  alternative hypothesis: true ratio of variances is not equal to 1  95 percent confidence interval:  0.1598802 2.2086721  sample estimates:  ratio of variances   0.5942415   F test to compare two variances  data: times.10 and times.30  F = 0.7839, num df = 10, denom df = 8, p-value = 0.7044  alternative hypothesis: true ratio of variances is not equal to 1  95 percent confidence interval:  0.182503 3.021747  sample estimates:  ratio of variances   0.7838735   F test to compare two variances  data: times.20 and times.30  F = 1.3191, num df = 10, denom df = 8, p-value = 0.7086  alternative hypothesis: true ratio of variances is not equal to 1  95 percent confidence interval:  0.3071192 5.0850482  sample estimates:  ratio of variances   1.319116   Paired t-test  data: times.10 and times.20  t = -3.6879, df = 10, p-value = 0.004191  alternative hypothesis: true difference in means is not equal to 0  95 percent confidence interval:  -1.8491707 -0.4562838  sample estimates:  mean of the differences   -1.152727   Two Sample t-test  data: times.10 and times.30  t = -2.2649, df = 18, p-value = 0.0361  alternative hypothesis: true difference in means is not equal to 0  95 percent confidence interval:  -4.8052187 -0.1804378  sample estimates:  mean of x mean of y   4.012727 6.505556   Two Sample t-test  data: times.20 and times.30  t = -1.0526, df = 18, p-value = 0.3064  alternative hypothesis: true difference in means is not equal to 0  95 percent confidence interval:  -4.014821 1.334619  sample estimates:  mean of x mean of y   5.165455 6.505556   [1] "Shapiro-Wilks results for accuracy data:"  Shapiro-Wilk normality test  data: accuracy.10  W = 0.8859, p-value = 0.1236  Shapiro-Wilk normality test  data: accuracy.20  W = 0.9201, p-value = 0.3195  Shapiro-Wilk normality test  data: accuracy.30  W = 0.925, p-value = 0.4352  [1] "F-test for homogeneity of variances:"  F test to compare two variances  data: accuracy.10 and accuracy.20  F = 0.1595, num df = 10, denom df = 10, p-value = 0.007655  alternative hypothesis: true ratio of variances is not equal to 1  95 percent confidence interval:  0.04292146 0.59294030  sample estimates:  ratio of variances   0.1595301   F test to compare two variances  data: accuracy.10 and accuracy.30  F = 0.1163, num df = 10, denom df = 8, p-value = 0.002644  alternative hypothesis: true ratio of variances is not equal to 1  95 percent confidence interval:  0.02708321 0.44842343  sample estimates:  ratio of variances   0.1163258   F test to compare two variances  data: accuracy.20 and accuracy.30  F = 0.7292, num df = 10, denom df = 8, p-value = 0.6278  alternative hypothesis: true ratio of variances is not equal to 1  95 percent confidence interval:  0.1697686 2.8109012  sample estimates:  ratio of variances   0.7291779   Paired t-test  data: accuracy.10 and accuracy.20  t = -4.4675, df = 10, p-value = 0.001202  alternative hypothesis: true difference in means is not equal to 0  95 percent confidence interval:  -53.46421 -17.88125  sample estimates:  mean of the differences   -35.67273   Welch Two Sample t-test  data: accuracy.10 and accuracy.30  t = -5.918, df = 9.526, p-value = 0.0001789  alternative hypothesis: true difference in means is not equal to 0  95 percent confidence interval:  -93.45811 -42.08128  sample estimates:  mean of x mean of y   23.76364 91.53333   Two Sample t-test  data: accuracy.20 and accuracy.30  t = -2.3601, df = 18, p-value = 0.02976  alternative hypothesis: true difference in means is not equal to 0  95 percent confidence interval:  -60.668859 -3.525081  sample estimates:  mean of x mean of y   59.43636 91.53333   [1] "Accuracy, 10 m:"  [1] "Mean: 23.763636"  [1] "variance: 125.358545"  [1] "Accuracy, 20 m:"  [1] "Mean: 59.436364"  [1] "variance: 785.798545"  [1] "Accuracy, 30 m:"  [1] "Mean: 91.533333"  [1] "variance: 1077.650000"  [1] "Time, 10 m:"  [1] "Mean: 4.012727"  [1] "variance: 5.342022"  [1] "Time, 20 m:"  [1] "Mean: 5.165455"  [1] "variance: 8.989647"  [1] "Time, 30 m:"  [1] "Mean: 6.505556"  [1] "variance: 6.814903"  \end{verbatim}