Practice Interpolation methods for missing data - 15.6.2.2 | 15. Rainfall Data in India | Hydrology & Water Resources Engineering - Vol 1
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15.6.2.2 - Interpolation methods for missing data

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is interpolation?

💡 Hint: Think about how you fill in gaps between two known numbers.

Question 2

Easy

What is linear interpolation?

💡 Hint: Remember 'linear' relates to 'line.'

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main purpose of using interpolation methods?

  • To visualize data
  • To estimate missing values
  • To analyze trends

💡 Hint: Consider why complete data is important.

Question 2

True or False: Linear interpolation can only be used with evenly spaced data.

  • True
  • False

💡 Hint: Consider the straight path of a line.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the rainfall data for the hours: 8 AM - 10 mm, 9 AM - 15 mm, and unknown for 10 AM, employ linear interpolation to estimate the missing value.

💡 Hint: Calculate the average value based on adjacent known values.

Question 2

You have three rainfall points: 2 PM (20 mm), 3 PM (25 mm), and 4 PM (unknown). Describe how you would use spline interpolation to estimate the value at 4 PM.

💡 Hint: Focus on fitting a curve rather than connecting with a straight line.

Challenge and get performance evaluation