import sys
# allows import of project files (idk how else to do this)
sys.path.insert(1, '..')
from utils.webassign import array_from_shitstring
from stats import mean, deviation_from_mean, variance, standard_deviation
youngs_mod = array_from_shitstring(" 116.6 115.8 114.9 115.3 115.6 ")
youngs_mod.sort()
print("Young's Mod: {}".format(youngs_mod))
sample_mean = mean(youngs_mod)
print("Young's Mod (mean): {}".format(sample_mean))
print("Deviation from mean:")
deviation_list = deviation_from_mean(youngs_mod)
for data_point, deviation in zip(youngs_mod, deviation_list):
print("Sample: {0}, deviation from mean: {1}".format(
data_point, deviation))
my_variance = variance(youngs_mod)
print("Sample variance: {}".format(my_variance))
print("Standard deviation: {}".format(standard_deviation(youngs_mod)))
import sys
sys.path.insert(1, '..')
from utils.webassign import array_from_shitstring
particles_shit = "0 1 2 3 4 5 6 7 8 9 10 11 12 13 14"
freq_shit = "1 1 3 12 11 15 20 10 9 4 5 3 3 2 1"
particles = array_from_shitstring(particles_shit)
freq = array_from_shitstring(freq_shit)
together = dict(zip(particles, freq))
print(together)
at_least_5 = [value for key, value in together.items() if key >= 5]
print("Values above 5: {0}".format(at_least_5))
print("Sum: {}".format(sum(at_least_5)))
inclusive = [value for key, value in together.items() if 5 <= key <= 10]
exclusive = [value for key, value in together.items() if 5 < key < 10]
print("Between 5 and 10, inclusive: {}".format(sum(inclusive)))
print("Between 5 and 10, exclusive: {}".format(sum(exclusive)))
import sys
# allows import of project files (idk how else to do this)
sys.path.insert(1, '..')
from utils.webassign import array_from_shitstring
from stats import median
from utils.helpers import round_to_nearest_interval
actual_pressure = array_from_shitstring(
"128.6 137.8 148.4 140.0 123.7 132.0 118.3 141.5 143.2 ")
actual_pressure.sort()
print("Actual pressure: {}".format(actual_pressure))
rounded_pressure = round_to_nearest_interval(actual_pressure, 5)
print("Rounded pressure: {0}".format(rounded_pressure))
median_rounded_pressure = median(rounded_pressure)
print("Median (rounded pressure): {0}".format(median_rounded_pressure))
# setup
import sys
sys.path.insert(1, '..')
from utils.webassign import array_from_shitstring
from stats import mean, median
# string to array
urban = array_from_shitstring(
"6.0 5.0 11.0 33.0 4.0 5.0 80.0 18.0 35.0 17.0 23.0 ")
farm = array_from_shitstring(
"4.0 12.0 10.0 7.0 9.0 8.0 3.0 20.0 3.0 9.3 21.0 9.1 2.0 1.0 0.1")
urban.sort()
farm.sort()
print("Urban: {}".format(urban))
print("Farm: {}".format(farm))
# determine sample mean for each
print("Concentration mean for urban homes (EU/mg): {}".format(mean(urban)))
print("Concentration mean for farm homes (EU/mg): {}".format(mean(farm)))
# determine sample median for each
print("Sample median for urban homes (EU/mg): {}".format(median(urban)))
print("Sample median for farm homes (EU/mg): {}".format(median(farm)))
# calculate trimmed mean by dropping first and last elements
urban.sort()
farm.sort()
# trim
urban_trimmed = urban[1:-1]
This file contains some default imports and commonly used functions so that you
don't have to write lots of code over and over for each problem.
"""
# CONFIG
PROJECT_ROOT = '..' # relative location pointing to utils/ and stats.py
# REST OF FILE
import sys
# allows import of project files (idk how else to do this)
sys.path.insert(1, PROJECT_ROOT)
from utils.webassign import array_from_shitstring
from stats import frequency, relative_frequency
keys = array_from_shitstring('1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17')
values = array_from_shitstring('740 204 127 50 33 28 19 19 6 7 6 7 4 4 5 3 3')
papers_and_freq = dict(zip(keys, values))
print(papers_and_freq)
at_least_5_papers = sum(
[papers_and_freq[key] for key in papers_and_freq if key >= 5])
at_least_10_papers = sum(
[papers_and_freq[key] for key in papers_and_freq if key >= 10])
more_than_10_papers = sum(
[papers_and_freq[key] for key in papers_and_freq if key > 10])
total_values = sum([papers_and_freq[key] for key in papers_and_freq])
print("at least 5 papers: {}".format(at_least_5_papers / total_values))
print("at least 10 papers: {}".format(at_least_10_papers / total_values))
print("more than 10 papers: {}".format(more_than_10_papers / total_values))
"""
This file contains some default imports and commonly used functions so that you
don't have to write lots of code over and over for each problem.
"""
# CONFIG
PROJECT_ROOT = '..' # relative location pointing to utils/ and stats.py
# REST OF FILE
import sys
# allows import of project files (idk how else to do this)
sys.path.insert(1, PROJECT_ROOT)
from utils.webassign import array_from_shitstring
from stats import frequency, relative_frequency
data = array_from_shitstring(
'1 1 2 3 0 1 3 2 0 5 3 3 1 3 2 4 7 0 2 3 0 4 2 1 3 1 1 3 4 1 2 3 2 2 8 4 5 1 3 1 5 0 2 3 2 1 0 6 4 2 1 6 0 3 3 3 7 1 2 3'
) # put your data here
data.sort()
freq = frequency(data)
print("Data: {}".format(data))
print("frequency: {}".format(freq))
print("relative frequency: {}".format(relative_frequency(freq)))
import sys
sys.path.insert(1, '..')
from utils.webassign import array_from_shitstring
shitstring = "5.6 7.2 7.3 6.3 8.1 6.8 7.0 7.6 6.8 6.5 7.0 6.3 7.9 9.0 8.2 8.7 7.8 9.7 7.4 7.7 9.7 7.8 7.7 11.6 11.5 11.8 10.6"
array = array_from_shitstring(shitstring)
for number in array:
print(number)
don't have to write lots of code over and over for each problem.
"""
# CONFIG
PROJECT_ROOT = '..' # relative location pointing to utils/ and stats.py
# REST OF FILE
import sys
# allows import of project files (idk how else to do this)
sys.path.insert(1, PROJECT_ROOT)
from utils.webassign import array_from_shitstring
from stats import variance, standard_deviation
data = array_from_shitstring(
"85 105 130 160 180 195 134 145 214 105 145 151 153 135 87 99 94 119 129"
) # put your data here
data.sort()
print("Oxidation induction time (min): {}".format(data))
data_variance = variance(data)
data_standard_deviation = standard_deviation(data)
print("Sample variance: {}".format(data_variance))
print("Standard deviation: {}".format(data_standard_deviation))
data_to_hours = [value / 60 for value in data]
data_variance_in_hours = variance(data_to_hours)
standard_deviation_in_hours = standard_deviation(data_to_hours)
print("Sample variance (hrs): {}".format(data_variance_in_hours))
print("Standard deviation (hrs): {}".format(standard_deviation_in_hours))
"""
This file contains some default imports and commonly used functions so that you
don't have to write lots of code over and over for each problem.
"""
# CONFIG
PROJECT_ROOT = '..' # relative location pointing to utils/ and stats.py
# REST OF FILE
import sys
# allows import of project files (idk how else to do this)
sys.path.insert(1, PROJECT_ROOT)
from utils.webassign import array_from_shitstring
data = array_from_shitstring('DATA_HERE') # put your data here
data.sort()
print("Data: {}".format(data))