x²0.05.10 i .249

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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The image displays a statistical notation often used in hypothesis testing related to the chi-square distribution. The notation is:

\[ \chi^2_{0.05, 10} \]

This corresponds to the chi-square critical value with a significance level of 0.05 and 10 degrees of freedom. The critical value is shown as:

\[ 0.249 \]

In a chi-square test, this value is essential for determining whether to reject a null hypothesis based on your calculated chi-square statistic. If your test statistic exceeds this critical value at the 0.05 significance level, you would reject the null hypothesis, indicating that your observed data significantly deviate from what was expected.
Transcribed Image Text:The image displays a statistical notation often used in hypothesis testing related to the chi-square distribution. The notation is: \[ \chi^2_{0.05, 10} \] This corresponds to the chi-square critical value with a significance level of 0.05 and 10 degrees of freedom. The critical value is shown as: \[ 0.249 \] In a chi-square test, this value is essential for determining whether to reject a null hypothesis based on your calculated chi-square statistic. If your test statistic exceeds this critical value at the 0.05 significance level, you would reject the null hypothesis, indicating that your observed data significantly deviate from what was expected.
Expert Solution
Step 1: Given that

chi squared subscript 0.05 comma 10 end subscript

significance level (alpha right parenthesis is 0.05

degrees of freedom is 10

To use the chi-square critical value table.

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