Practice Statistical Testing Of Adjusted Data (13.7) - Errors and Adjustments
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Statistical Testing of Adjusted Data

Practice - Statistical Testing of Adjusted Data

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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