def test_sd(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_sd.csv")
self.assertEqual(self.calculator.sd(my_population),
expected_output) # positive test
self.assertNotEqual(self.calculator.sd(my_population),
(expected_output + 1)) # negative test
def test_variance(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_variance.csv")
self.assertEqual(self.calculator.variance(my_population),
expected_output) # positive test
self.assertNotEqual(self.calculator.variance(my_population),
expected_output + 1) # negative test
def test_standardised_score(self):
my_population = read_population("population.csv")
expected_output = read_answer_list("answer_zscore.csv")
self.assertListEqual(self.calculator.z_score(my_population),
expected_output) # positive test
self.assertNotEqual(
self.calculator.z_score(my_population),
(list(map(lambda x: x + 1, expected_output)))) # negative test
def test_sample_mean(self):
my_population = read_population("population.csv")
self.assertEqual(
self.calculator.sample_mean(my_population),
read_answer("answer_sample_mean.csv")) # positive test
self.assertNotEqual(
self.calculator.sample_mean(my_population),
(read_answer("answer_sample_mean.csv") + 1)) # negative test
def test_sample_mean(self):
my_population = read_population("population.csv")
try:
self.assertEqual(self.calculator.sample_mean(my_population),read_answer("answer_sample_mean.csv")) # positive test
self.assertNotEqual(self.calculator.sample_mean(my_population),(read_answer("answer_sample_mean.csv") + 1)) # negative test
except AssertionError as e:
print("Sample Mean has Assertion Error:", e)
assert 0
def test_variance_sample_proportion(self):
my_population = read_population("population.csv")
# expected_output = read_answer("answer_variance_sample_proportion.csv")
try:
self.assertEqual(self.calculator.variance_sample_proportion(my_population),read_answer("answer_variance_sample_proportion.csv")) # positive test
self.assertNotEqual(self.calculator.variance_sample_proportion(my_population),(read_answer("answer_variance_sample_proportion.csv") + 1)) # negative test
except AssertionError as e:
print("Variance of Sample Proportion has Assertion Error:", e)
assert 0
def test_median(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_median.csv")
try:
self.assertEqual(self.calculator.median(my_population), expected_output) # positive test
self.assertNotEqual(self.calculator.median(my_population), (expected_output + 1)) # negative test
except AssertionError as e:
print("Median has Assertion Error:", e)
assert 0
def test_pop_correlation_coefficient(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_pop_correlation_coefficient.csv")
self.assertEqual(
self.calculator.pop_correlation_coefficient(my_population),
expected_output) # positive test
self.assertNotEqual(
self.calculator.pop_correlation_coefficient(my_population),
(expected_output + 1)) # negative test
def test_confidence_interval(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_confidence_interval.csv")
try:
self.assertEqual(self.calculator.confidence_interval(my_population), expected_output) # positive test
self.assertNotEqual(self.calculator.confidence_interval(my_population), (expected_output + 1)) # negative test
except AssertionError as e:
print("Confidence Interval has Assertion Error:", e)
assert 0
def test_variance(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_variance.csv")
try:
self.assertEqual(self.calculator.variance(my_population),
expected_output) # positive test
self.assertNotEqual(self.calculator.variance(my_population),
expected_output + 1) # negative test
except AssertionError as e:
print("Variance has Assertion Error:", e)
assert 0
def test_variance_popu_proportion(self):
my_population = read_population("population.csv")
# expected_output = read_answer("answer_variance_popu_proportion.csv")
self.assertEqual(
self.calculator.variance_popu_proportion(my_population),
read_answer(
"answer_variance_popu_proportion.csv")) # positive test
self.assertNotEqual(
self.calculator.variance_popu_proportion(my_population),
(read_answer("answer_variance_popu_proportion.csv") +
1)) # negative test
def test_z_score(self):
my_population = read_population("population.csv")
expected_output = read_answer_list("answer_zscore.csv")
try:
self.assertListEqual(self.calculator.z_score(my_population),
expected_output) # positive test
self.assertNotEqual(
self.calculator.z_score(my_population),
(list(map(lambda x: x + 1, expected_output)))) # negative test
except AssertionError as e:
print("Z Score has Assertion Error:", e)
assert 0
def test_csv_reader(self):
my_population = read_population("population.csv")
expected_output = read_answer_list("answer_csv_reader.csv")
try:
self.assertListEqual(my_population,
expected_output) # positive test
self.assertNotEqual(
my_population,
(list(map(lambda x: x + 1, expected_output)))) # negative test
except AssertionError as e:
print("Csv Reader has Assertion Error:", e)
assert 0
def test_pop_correlation_coefficient(self):
my_population = read_population("population.csv")
expected_output = read_answer("answer_pop_correlation_coefficient.csv")
try:
self.assertEqual(
self.calculator.pop_correlation_coefficient(my_population),
expected_output) # positive test
self.assertNotEqual(
self.calculator.pop_correlation_coefficient(my_population),
(expected_output + 1)) # negative test
except AssertionError as e:
print("Population Correlation Coefficient has Assertion Error:", e)
assert 0
