Which Python method in statsmodels module is used to perform a hypothesis test for a population proportion?
proportions_ztest(counts, nobs, value) is used to perform hypothesis test for a population proportion.
proportions_ztest can be imported from the statsmodels.stats.proportion library using the following command:
from statsmodels.stats.proportion import proportions_ztest
proportions_ztest(counts, nobs, value)
Output
(1.134556764847714, .53258567853367)
proportions_ztest returns the z-score and the two-tailed p-value for the z-test.
Which Python scipy.stats submodule is used to calculate a confidence interval based on the Student’s t-distribution?
Form the scipy.stats submodule, st.t.intervals is used to calculate a confidence interval for a variable based on the t-distribution
Example
import scipy.stats as st
print(st.t.interval(confindenece_level, degrees_of_freedon, mean, standard_error))
Output
(425.85746575867464, 432.98768674649464)
st.t.intervals returns the confidence interval for the variable based on the t-distribution
What are the inputs to proportions_ztest method?
proportions_ztest can be imported from the statsmodels.stats.proportion library using the following command:
from statsmodels.stats.proportion import proportions_ztest
proportions_ztest(counts, nobs, value)
The inputs for proportions_ztest are count, nobs, and value
Which Python method from the scipy.stats submodule is used to calculate a confidence interval based on the Normal Distribution?
st.norm.interval is the method used from scipy.stats submodule to calculate a confidence interval based on the Normal Distribution
Example
import scipy.stats as st
print(st.norm.interval(confidence_level, sample_mean, standard_error))Output
(425.85746575867464, 432.98768674649464)
st.norm.intervals returns the confidence interval for the variable based on the a normal distribution.
What are the inputs to ztest method in Python?
The inputs to ztest are dataframe and population_mean
Example
from statsmodels.stats.weightstats import ztest
import pandas as pd
dataframe = pd.read_csv(some_url)
print(ztest(x1 = dataframe, value = pupulation_mean))ztest returns the z-score and the t-tailed p-value
Which Python module is used to create confidence intervals
The Pythong scipy is used to create confidence intervals.
Example
import scipy.stats as st
print(st.norm.interval(confidence_level, sample_mean, standard_error))
print(st.t.interval(confindenece_level, degrees_of_freedon, mean, standard_error))st.norm.intervals returns the confidence interval for the variable based on the a normal distribution.
st.t.intervals returns the confidence interval for the variable based on the t-distribution
Which Python method is used to perform hypothesis testing for a population mean when the population standard deviation is unknown
ttest_1samp(dataframe, null hypothesis value) is used to perform hypothesis testing for a population mean when the population standard deviation is unknown
Example
import scipy.stats as st
import pandas as pd
datafram = pd.read_csv(some_url)
print(st.stats.ttest_1samp(dataframe, hypothesized_population_mean))ttest_1samp returns the t-statistic and two-tailed p-value.
Which Python method is used to perform hypothesis testing for a population mean when the population standard deviation is known
ztest(dataframe, null_hypothesis_value) is used to perform hypothesis testing for a population mean when the population standard deviation is known
Example
import statsmodels.stats.weightstats import ztest
import pandas as pd
datafram = pd.read_csv(some_url)
print(ztest(dataframe, hypothesized_population_mean))ztest returns the z-score and the two-tailed p-value.
What are the inputs to ttest_ind method in the scipy module?
st.ttest_ind(dataFrame['One'], dataFrame['Two']) takes two DataFrame columns of equal length as input.
st.ttest_ind(dataFrame['One'], dataFrame['Two']) returns the calculated t-statistic and the p-value.
Which Python method is used to perform a hypothesis test for the difference in two population proportions
The proportions_ztest() is imported from the statsmodels.stats.proportion submodule and is used to perform a hypothesis test for the difference in two population proportions
Example
from statsmodels.stats.proportion import proportions_ztest
proportions_ztest(array_of_samples_meating_condition, array_of_number_of_samples_in_each_group)The function returns the z-score and the two-tailed p-value
Which Python method is used to perform an unpaired t-test for the difference in two population means?
st.ttest_ind(x, y) is used to perform an unpaired t-test for the difference in two population means
Example
import scipy.stats as st
import pandas as pd
dataframe = pd.read_csv(some_url)
st.ttest_ind(dataframe['One'], dataframe['Two'])