Practice Statistical Testing of Adjusted Data - 13.7 | 13. Errors and Adjustments | Geo Informatics
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

13.7 - Statistical Testing of Adjusted Data

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the formula for the Chi-Square test?

💡 Hint: Focus on the role of residuals and their variances.

Question 2

Easy

Define an outlier.

💡 Hint: Think about unusual data points that don't fit well.

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 does a Chi-Square test evaluate?

  • The difference between means
  • Goodness-of-fit
  • Variances between groups

💡 Hint: Think about fitting data to models.

Question 2

True or False: The t-Test is used for comparing the variances of two groups.

  • True
  • False

💡 Hint: Remember the primary function of each test.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have an adjusted dataset with residuals showing: [0.5, 0.6, -0.3, -0.1, 0.2]. Calculate the Chi-Square statistic and determine if it's within an acceptable range under hypothesis testing.

💡 Hint: Start with the squared residuals and ensure you adjust the sum correctly.

Question 2

Given two groups: Group A with samples [2, 3, 4] and Group B with [4, 5, 6], perform a t-Test to determine if their mean values are significantly different.

💡 Hint: Pay attention to sample size as it influences the critical values.

Challenge and get performance evaluation