<｜begin▁of▁sentence｜>### Instruction:
As an International Aid Worker, you've been tasked with managing resources in a crisis zone. You have a list of critical supplies, each denoted by a value representing its importance or quantity: [2, 3, 5, 7, 11]. You need to track the average value of these supplies over time to ensure efficient distribution.

To accomplish this, you're utilizing a tool called the "Resource Management Tracker" (RMT). This tracker allows you to monitor the running mean and standard deviation of supply values, ensuring you have a clear understanding of resource trends. 

Your current task involves initializing the RMT with the initial supply list, adding a new supply value as it arrives (let's say, 13), calculating and recording the running mean and standard deviation, and finally, resetting the tracker to start fresh for the next cycle of data collection. 

Utilizing the RMT API, you'll perform these steps to maintain accurate resource management in the crisis zone.
### Response:
from running_mean import RunningMean

# Initialize the RunningMean with an iterable of items
samples = [2, 3, 5, 7, 11]
running_mean = RunningMean(items=samples)

# Add a new sample to the running mean
running_mean.add(13)

# Calculate the running mean and standard deviation
mean_value = float(running_mean)
standard_deviation = running_mean.sd

# Print the results
print('Running mean:', mean_value)
print('Standard deviation:', standard_deviation)

# Reset the running mean calculator
unning_mean.clear()
<|EOT|>
