Statistics in Python - Day 3/30
Dr. Mamta Kapoor

Statistics in Python - Day 3/30

How can we calculate the Pearson correlation coefficient between two variables using NumPy?

Article content
Dr. Mamta Kapoor


To view or add a comment, sign in

More articles by Dr. Mamta Kapoor

  • Statistics in Python Day 18/30

    Key Python Libraries for Statistics NumPy: Offers fast array operations and basic statistical functions. Pandas:…

  • Binomial distribution in Python

    Question: Simulate 1000-coin tosses, where the coin has a 70% chance of landing heads. Plot the distribution and…

    1 Comment
  • Bernoulli distribution in Python

    import numpy as np from scipy.stats import bernoulli import matplotlib.

  • Statistics in Python - Day 15/30

    Question - How can I perform a one-way ANOVA test to determine if there is a significant difference between the means…

  • Statistics in Python - Day 14/30

    Question: Apply K-means clustering on a 2D dataset and visualize the clusters. Dr.

  • Statistics in Python - Day 13/30

    Question: Perform a chi-square test to check if two categorical variables are independent. Dr.

  • Statistics in Python - Day 12/30

    Question: Perform a two-sample t-test to determine if there is a significant difference between the means of the two…

    1 Comment
  • Statistics in Python - Day 11/30

    Question: Generate a normal distribution and plot it using Matplotlib. Dr.

  • Statistics in Python - Day 10/30

    Question: Provided a dataset representing the relationship between years of experience and salary. The data suggests a…

  • Statistics in Python - Day 9/30

    Question: You are given a dataset about students' academic performance, which includes features like , , and . The…

Insights from the community

Others also viewed

Explore topics