onesample

import pandas as pd
import numpy as np
from scipy import stats

# Step 1: Load dataset
df = pd.read_csv(r"C:\Users\thami\Downloads\weather (1).csv")

# Step 2: Select column (example: temperature)
data = df["Data.Temperature.Avg Temp"].dropna()

# Step 3: Sample statistics
mean = data.mean()
std = data.std(ddof=1)
n = len(data)

print("Sample Mean:", mean)
print("Standard Deviation:", std)
print("Sample Size:", n)

# Step 4: Hypothesis testing (One-sample t-test)
popmean = 56   # assumed value
t_stat, p_value = stats.ttest_1samp(data, popmean)

print("\nt-statistic:", t_stat)
print("p-value:", p_value)

# Step 5: Decision
alpha = 0.05
if p_value < alpha:
    print("Reject Null Hypothesis")
else:
    print("Fail to Reject Null Hypothesis")