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CHI 2 UNITED STATES DISTRICT COURT CENTRAL DISTRICT OF CALIFORNIA, WESTERN DIVISION LARRY BROWN, Individually and on Behalf of All Others Similarly Situated, Plaintiff, Case No. CV 11-02559-BRO (Play)
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How to fill out chi 2 - federman:

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Begin by gathering the necessary data for your chi 2 - federman analysis. This may include categorical variables or data organized in contingency tables.
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Choose a significance level for your analysis, typically represented by the Greek letter alpha (α). This determines the threshold for determining statistical significance.
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Calculate the expected frequencies for each cell of your contingency table. This can be done using the formula E = (row total * column total) / grand total, where E represents the expected frequency.
04
Next, calculate the chi-square statistic using the formula X^2 = ∑ [(O - E)^2 / E], where X^2 represents the chi-square statistic, O is the observed frequency, and E is the expected frequency.
05
Determine the degrees of freedom for your chi 2 - federman analysis. This is calculated as (number of rows - 1) * (number of columns - 1).
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Refer to a chi-square distribution table or use statistical software to find the critical value associated with your chosen significance level and degrees of freedom.
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Compare the calculated chi-square statistic to the critical value. If the calculated value is greater than the critical value, reject the null hypothesis and conclude that there is a significant relationship between the variables. If the calculated value is less than or equal to the critical value, fail to reject the null hypothesis and conclude that there is not enough evidence to suggest a significant relationship exists.

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