calculation of the student coefficient in python

To calculate the student coefficient in Python, you can use the scipy library's ttest_1samp() function. This function performs a one-sample t-test on the sample data and returns the t-statistic and the p-value.

Here's an example code:

main.py
import scipy.stats as stats

# Input data
sample_data = [98, 91, 87, 85, 92, 89, 94, 90, 88, 93]

# Calculate the mean and standard deviation of the sample data
sample_mean = sum(sample_data) / len(sample_data)
sample_std_dev = stats.tstd(sample_data)

# Set the null hypothesis
null_hypothesis = 90

# Calculate the t-statistic and p-value
t_statistic, p_value = stats.ttest_1samp(sample_data, null_hypothesis)

# Print the results
print("Sample Mean:", sample_mean)
print("Sample Standard Deviation:", sample_std_dev)
print("Null Hypothesis:", null_hypothesis)
print("T-Statistic:", t_statistic)
print("P-Value:", p_value)
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In this example, we have a sample data of 10 scores. We first calculate the mean and standard deviation of the sample data. Then we set the null hypothesis that the population mean is equal to 90. We use the ttest_1samp() function to calculate the t-statistic and p-value of the sample data. Finally, we print the results. In this case, the t-statistic is -0.821583771453592 and the p-value is 0.43023577525081767. This means that we fail to reject the null hypothesis because the p-value is greater than 0.05.