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Aaron Zhu
Aaron Zhu

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Welcome! My Top Articles

Here are some related posts you can explore if you’re interested in Linear Regression and Causal Inference. Causal Inference: Econometric Models vs. A/B Testing Linear Regression vs. Logistic Regression: OLS, Maximum Likelihood Estimation, Gradient Descent Linear Regression with OLS: Unbiased, Consistent, BLUE, Best (Efficient) Estimator Causal Inference with Linear Regression…

Linear Regression

2 min read

Linear Regression

2 min read


Published in Geek Culture

·Jan 12

What is Hypothesis Testing in Statistics: Motivation and Interpretation

The Power of Evidence-Based Decision Making — Are you curious about how statisticians determine whether a claim is true or false? Do you want to know how statisticians make decisions based on data instead of just gut feeling? Look no further, because today we’re diving into the world of hypothesis testing! What is Hypothesis Testing in Statistics? In statistics, hypothesis testing is a…

Hypothesis Testing

5 min read

What is Hypothesis Testing in Statistics: Motivation and Interpretation
What is Hypothesis Testing in Statistics: Motivation and Interpretation
Hypothesis Testing

5 min read


Published in Geek Culture

·Jan 8

List Comprehension in Python (With Examples)

Alternative ways to write for-loop in Python — Have you ever needed to create a list in Python, but didn’t want to use a loop to do it? List comprehension is a concise way to create a list using a single line of code. But how does it work, and when should you use it? …

Python

3 min read

List Comprehension in Python (With Examples)
List Comprehension in Python (With Examples)
Python

3 min read


Published in Geek Culture

·Jan 7

How do Outliers Affect Statistical Inference?

Have you ever encountered an outlier in your data — a data point that is significantly different from the majority of the other points? …

Outliers

5 min read

How do Outliers Affect Statistical Inference?
How do Outliers Affect Statistical Inference?
Outliers

5 min read


Published in Geek Culture

·Jan 7

Precision and Accuracy: What is the Difference?

Precision and accuracy are two important concepts in the field of measurement and are often used interchangeably, but they do have different meanings. …

Precision

4 min read

Precision and Accuracy: What is the Difference?
Precision and Accuracy: What is the Difference?
Precision

4 min read


Published in Geek Culture

·Jan 5

What are Sampling Methods?

How to properly collect samples for a statistical analysis — Sample methods in statistics are techniques that are used to collect and analyze data from a subset of a population in order to make inferences about the population as a whole. …

Sampling Methods

5 min read

What are Sampling Methods?
What are Sampling Methods?
Sampling Methods

5 min read


Jan 5

What are Degrees of Freedom?

Degrees of freedom is a term used in statistics to describe the number of independent observations in a sample or a statistical test. It is an important concept because it determines the precision and reliability of the sample estimates and statistical tests. What are degrees of freedom? The degrees of freedom are defined as the…

Degrees Of Freedom

3 min read

What are Degrees of Freedom?
What are Degrees of Freedom?
Degrees Of Freedom

3 min read


Published in Geek Culture

·Jan 4

Random Error vs Systematic Error: What is the Difference?

Random error and systematic error are two types of measurement errors that can occur when collecting and analyzing data. Understanding the difference between these two types of error is crucial in order to properly interpret and analyze the data.

Random Error

4 min read

Random Error vs Systematic Error: What is the Difference?
Random Error vs Systematic Error: What is the Difference?
Random Error

4 min read


Published in Geek Culture

·Jan 4

Parametric vs Non-Parametric Tests: Advantages and Disadvantages

Nonparametric tests and parametric tests are two types of statistical tests that are used to analyze data and make inferences about a population based on a sample. Nonparametric tests are used when the data do not follow a normal distribution or when the assumptions of parametric tests are not met…

Parametric Tests

3 min read

Parametric vs Non-Parametric Tests: Advantages and Disadvantages
Parametric vs Non-Parametric Tests: Advantages and Disadvantages
Parametric Tests

3 min read


Published in Geek Culture

·Jan 3

Statistical Significance vs Practical Significance: What is the Difference?

Tips for Hypothesis Testing — Statistical significance and practical significance are two important concepts in statistical analysis that are often misunderstood or conflated. Understanding the distinction between these two concepts is crucial for the proper interpretation and application of research findings. What is the statistical significance? Statistical significance refers to the likelihood that an observed result or relationship between variables…

Statistical Significance

3 min read

Statistical Significance vs Practical Significance: What is the Difference?
Statistical Significance vs Practical Significance: What is the Difference?
Statistical Significance

3 min read

Aaron Zhu

Aaron Zhu

911 Followers

Senior Data Analyst | Always looking for new and exciting ways to turn complex data into actionable insights | https://www.linkedin.com/in/aaron-zhu-53105765/

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