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In a Chi-Squared Goodness-Of-Fit Test, If the Expected Frequencies eie _ { i }

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In a chi-squared goodness-of-fit test, if the expected frequencies eie _ { i } and the observed frequencies fif _ { i } were quite different, which of the following is the best conclusion?  A.  Null hypothesis is false, and reject HO B.  Null hypothesis is true, and retain HO. C.  Alternative hypothesis is false, reject HA D.  Chi-squared distribution is invalid, use t-distribution instead. \begin{array}{|l|l|}\hline \text { A. } & \text { Null hypothesis is false, and reject } \mathrm{H}_{O} \\\hline \text { B. } & \text { Null hypothesis is true, and retain } \mathrm{HO} . \\\hline \text { C. } & \text { Alternative hypothesis is false, reject } \mathrm{H}_{\mathrm{A}} \\\hline \text { D. } & \text { Chi-squared distribution is invalid, use } t \text {-distribution instead. } \\\hline\end{array}


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