এসসিপি

from scipy import stats

data = [10, 12, 15, 18, 20, 22]

result = stats.describe(data)

print(result)

from scipy import stats

data = [2, 4, 8, 16]

result = stats.gmean(data)

print(result)

from scipy import stats

data = [2, 4, 8, 16]

result = stats.hmean(data)

print(result)

from scipy import stats

data = [2, 3, 3, 4, 5, 3, 6]

result = stats.mode(data)

print(result)

from scipy import stats

data = [10, 12, 15, 18, 20, 25, 30]

result = stats.iqr(data)

print(result)

from scipy import stats

data = [10, 12, 15, 18, 20]

result = stats.variation(data)

print(result)

from scipy import stats

data = [10, 12, 15, 18, 20]

result = stats.zscore(data)

print(result)

from scipy import stats

data = [30, 10, 20, 10, 40]

result = stats.rankdata(data)

print(result)

from scipy import stats

data = [10, 20, 30, 40, 50]

result = stats.percentileofscore(
    data,
    35
)

print(result)

from scipy import stats

first = [1, 2, 3, 4, 5]
second = [2, 4, 6, 8, 10]

result = stats.pearsonr(
    first,
    second
)

print(result)

from scipy import stats

first = [1, 2, 3, 4, 5]
second = [5, 4, 3, 2, 1]

result = stats.spearmanr(
    first,
    second
)

print(result)

from scipy import stats

first = [1, 2, 3, 4, 5]
second = [5, 4, 3, 2, 1]

result = stats.kendalltau(
    first,
    second
)

print(result)

from scipy import stats

x = [1, 2, 3, 4, 5]
y = [2, 4, 5, 8, 10]

result = stats.linregress(x, y)

print(result)

from scipy import stats

data = [48, 51, 49, 52, 50, 53]

result = stats.ttest_1samp(
    data,
    50
)

print(result)

from scipy import stats

first = [10, 12, 14, 16, 18]
second = [11, 13, 15, 17, 19]

result = stats.ttest_ind(
    first,
    second
)

print(result)

from scipy import stats

before = [70, 72, 68, 75, 71]
after = [65, 68, 66, 70, 67]

result = stats.ttest_rel(
    before,
    after
)

print(result)

from scipy import stats

first = [10, 12, 11, 13]
second = [15, 14, 16, 17]
third = [20, 19, 21, 22]

result = stats.f_oneway(
    first,
    second,
    third
)

print(result)

from scipy import stats

observed = [20, 30, 25, 25]

result = stats.chisquare(
    observed
)

print(result)

from scipy import stats

data = [
    [20, 30],
    [25, 25]
]

result = stats.chi2_contingency(data)

print(result)

from scipy import stats

data = [10, 12, 11, 15, 14, 13, 16, 18]

result = stats.normaltest(data)

print(result)

from scipy import stats

data = [10, 12, 11, 15, 14, 13, 16, 18]

result = stats.shapiro(data)

print(result)

from scipy import stats

data = [0.1, 0.2, 0.3, 0.4, 0.5]

result = stats.kstest(
    data,
    "uniform"
)

print(result)

from scipy import stats

data = [10, 12, 15, 18, 30]

result = stats.skew(data)

print(result)

from scipy import stats

data = [10, 12, 15, 18, 30]

result = stats.kurtosis(data)

print(result)

from scipy import stats

data = [0.2, 0.3, 0.5]

result = stats.entropy(data)

print(result)

from scipy import stats

data = [10, 12, 14, 16, 18]

result = stats.sem(data)

print(result)

from scipy import stats

data = [10, 12, 14, 16, 18]

result = stats.moment(
    data,
    moment=2
)

print(result)