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Explain Stats with Python

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Descriptive Statistics

Descriptive Statistics summaries a dataset, which helps in gaining insights, and making inferences about a dataset.

In general, we compute statistical measures of one or more samples, related to a population, and draw conclusions about the population.

Descriptive Statistics involves estimating centrality measures and measures of dispersion.

Centrality Measures

Centrality measures determine the center of a dataset.

The three major centrality measures are: mean, median, and mode.

Mean

Mean is the sum of all values divided by a total number of values, of a data set.

mean function of numpy is used to compute mean marks obtained by five students in a subject s1.

Example

import numpy as np

s1 = np.array([86, 47, 45, 47, 40])

print(np.mean(s1))

Output

53.0

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