Statistics

Explain what is meant by the terms "parametric" and "non-parametric" in statistics, and describe the key differences between these two approaches?

Data Scientist

Google

Yelp

Tinder

Rackspace

Zulily

Venmo

Did you come across this question in an interview?

  • Explain what is meant by the terms "parametric" and "non-parametric" in statistics, and describe the key differences between these two approaches?
  • How would you differentiate between parametric and non-parametric statistical approaches, and what implications do these differences have in data analysis?
  • What do the terms parametric and non-parametric mean in statistics, and how do these methodologies differ in their statistical modeling techniques?
  • In layman's terms, what is the difference between a parametric and non-parametric statistical approach, and what are the advantages and disadvantages of using each method in data analysis?
  • Could you explain the fundamental concepts of parametric and non-parametric statistics and describe how they are applied in practice in statistical analysis?
  • What is meant by the concepts of parametric and non-parametric approaches in statistical analysis, and how do these two methods differ in their assumptions and applicability?
  • How would you compare and contrast the parametric and non-parametric statistical approaches, and why might one approach be preferred over the other in certain research situations?
  • What are the primary distinctions between parametric and non-parametric statistical techniques, and how do these differences influence statistical inference and decision-making?
  • What is the significance of the terms parametric and non-parametric in data analysis, and how do these approaches diverge in their underlying assumptions and methodologies?
  • Could you elucidate on the differences between parametric and non-parametric statistical approaches, and provide some examples of research scenarios where each method would be most appropriate?
  • Could you define the contrasting concepts of parametric and non-parametric in statistics, and elaborate on the primary dissimilarities between these two methods?

Interview question asked to Data Scientists interviewing at Takeaway, Rackspace, Zulily and others: Explain what is meant by the terms "parametric" and "non-parametric" in statistics, and describe the key differences between these two approaches?.