Figure 2.

Hypothesis testing. (A) Values of the average (black) and upper and lower bounds of the 95% confidence interval (red) for K_T-midcal for WT troponin are shown as a function of the number of bootstraps performed during error estimation. The yellow line marks the measured best-fit value. (B and C) Histograms of the test statistic (i.e., the difference in values between parameters determined for WT and ΔE160) for K_T-midcal (B) and K_T-cal (C) are given. Vertical lines represent the measured difference in values (yellow), the bounds of the 95% confidence interval (red), and the null hypothesis (blue dashed). The difference in parameter values is statistically significant at the 95% confidence level if the null hypothesis falls outside the 95% confidence interval, as in (C). (D) Cumulative distribution of the difference in values between WT and ΔE160 calculated from the bootstrapping simulations for K_T-cal is shown. Vertical lines are the same as in (C). Inset highlights the determination of the p-value from the value of the cumulative distribution at x = 0. This value is multiplied by two to make the test equivalent to a two-tailed test. To see this figure in color, go online.