Figure 2
A scatter plot with error bars shows the mean pop up threat killed across 16 treatments.The scatter graph is titled “Mean Pop Up Threat Killed versus Treatment.” The horizontal axis of the graph is labeled “Treatment” and ranges from 0 to 17 in increments of 1 unit. The vertical axis is labeled “Pop Up Threat Killed” and ranges from 0 to 1.0 in increments of 0.2 units. A legend at the top right shows the mean represented by a dot. The error line represents a 95 percent confidence interval. The data shows the mean value of pop-up threats killed, along with the positive and negative errors for each treatment value. The data from the graph is as follows: Treatment 1: Mean: 0; Positive error: 0; Negative error: 0. Treatment 2: Mean: 0.054; Positive error: 0.096; Negative error: 0.011. Treatment 3: Mean: 0; Positive error: 0; Negative error: 0. Treatment 4: Mean: 0.379; Positive error: 0.471; Negative error: 0.283. Treatment 5: Mean: 0.277; Positive error: 0.368; Negative error: 0.192. Treatment 6: Mean: 0.284; Positive error: 0.368; Negative error: 0.192. Treatment 7: Mean: 0.891; Positive error: 0.947; Negative error: 0.830. Treatment 8: Mean: 0.895; Positive error: 0.946; Negative error: 0.832. Treatment 9: Mean: 0; Positive error: 0; Negative error: 0. Treatment 10: Mean: 0.062; Positive error: 0.111; Negative error: 0.016. Treatment 11: Mean: 0; Positive error: 0; Negative error: 0. Treatment 12: Mean: 0.361; Positive error: 0.453; Negative error: 0.263. Treatment 13: Mean: 0.380; Positive error: 0.473; Negative error: 0.284. Treatment 14: Mean: 0.377; Positive error: 0.473; Negative error: 0.283. Treatment 15: Mean: 0.473; Positive error: 0.973; Negative error: 0.880. Treatment 16: Mean: 0.933; Positive error: 0.973; Negative error: 0.882. Note: All numerical data values are approximated.

Number of red entities killed versus treatment. Source: Author generated

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