Here are the essential concepts you must grasp in order to answer the question correctly.
Chi-Squared Distribution
The Chi-Squared distribution is a probability distribution that arises in statistics when estimating the variance of a population from a sample. It is used primarily in hypothesis testing and confidence interval estimation for variance and standard deviation. The shape of the distribution depends on the degrees of freedom, which are determined by the sample size.
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Critical Values
Critical values are the threshold points that define the boundaries of the acceptance region in hypothesis testing. They are determined based on the desired level of confidence (c) and the distribution being used. For the Chi-Squared distribution, critical values are found using statistical tables or software, corresponding to the specified confidence level and degrees of freedom.
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Degrees of Freedom
Degrees of freedom refer to the number of independent values or quantities that can vary in an analysis without violating any constraints. In the context of the Chi-Squared distribution, degrees of freedom are typically calculated as the sample size minus one (n - 1). This concept is crucial for determining the appropriate critical values and understanding the distribution's shape.
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