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Vrushali Kheur
on Nov 23, 2024

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To determine the critical values in the chi-square distribution table, the process requires the following:

A) degrees of freedom
B) probability of Type I error
C) probability of Type II error
D) degrees of freedom and probability of Type I error
E) degrees of freedom and probability of Type II error

Degrees Of Freedom

The number of independent values or quantities that can vary in the analysis without violating any constraints.

Type I Error

The incorrect rejection of a true null hypothesis, also known as a "false positive."

Critical Values

Thresholds or boundaries in statistical tests that define the region where the null hypothesis can either be rejected or not rejected.

  • Analyze chi-square values and critical values to determine the decision about the null hypothesis in chi-square assessments.
  • Compute the degrees of freedom and comprehend their significance in chi-square testing.
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Ramakrishna dileep KotagiriNov 27, 2024
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