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5 cards from this section. Quick, good the night before a test.
What is the formula for the Chi-Square test?
Focus on the role of residuals and their variances.
Define an outlier.
Think about unusual data points that don't fit well.
What does a Chi-Square test evaluate?
Think about fitting data to models.
True or False: The t-Test is used for comparing the variances of two groups.
Remember the primary function of each test.
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.
Start with the squared residuals and ensure you adjust the sum correctly.
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.
Pay attention to sample size as it influences the critical values.
6 more questions in this section. Enroll free to practise them all.
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