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Exercise

Parameter estimation: active bout length

Compute the mean active bout length for wild type and mutant, with 95% bootstrap confidence interval. The datasets are again available in the numpy arrays bout_lengths_wt and bout_lengths_mut. The dc_stat_think module has been imported as dcst.

Instructions

100 XP
  • Compute the mean active bout length for wild type and mutant using np.mean(). Store the results as mean_wt and mean_mut.
  • Draw 10,000 bootstrap replicates for each using dcst.draw_bs_reps(), storing the results as bs_reps_wt and bs_reps_mut.
  • Compute a 95% confidence interval from the bootstrap replicates using np.percentile(), storing the results as conf_int_wt and conf_int_mut.
  • Print the mean and confidence intervals to the screen.