Suppose we use the applet to create a simulated distribution of 1000 sample statistics. We then use the "Count as Extreme As" option to count the number of simulated statistics that are like our observed sample statistic or more extreme. We find that the proportion of statistics that are like our observed statistic or more extreme is 0.4.

Write the number0.4 as a percentage.
A. 40%
B. 0.4%
C. 4%

We found that, out of the 1000 simulated statistics, the proportion of simulated statistics that were like our observed statistic or more extreme was 0.4. That would mean that the following proportion of sample statistics were counted to be "at least as extreme as the observed sample statistic":
A. About 0.4 sample statistics out of 1000 total
B. 400 sample statistics out of 1000 total
C. 40 sample statistics out of 1000 total
D. About 4 sample statistics out of 1000 total

Based on this proportion, we conclude that...
A. In this distribution of sample statistics, our observed sample statistic is usual/expected.
B. In this distribution of sample statistics, our observed sample statistic is unusual/unexpected.