user133466
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 Nov 21 comment I don't understand why $X = \sum_{i=1}^n X_i$ and $Y = \sum_{i=1}^n Y_i$ i've been told that capital X and Y are random variables, I never knew you can obtain the actual value of X and Y by summing $X_k$ and $Y_k$. This summation method to obtain X and Y would not work if X and Y are, say, binomially distributed correct? Nov 21 comment I don't understand why $X = \sum_{i=1}^n X_i$ and $Y = \sum_{i=1}^n Y_i$ i've been told that capital X and Y are random variables, I never knew you can obtain the actual value of X and Y by summing $X_k$ and $Y_k$. This summation method to obtain X and Y would not work if X and Y are, say, binomially distributed correct? Nov 16 comment Does SSTR (sum of squares for treatments) = SSR (regression sum of squares)? hold on a sec, your statement $SSR=\sum\nolimits_{i=1}^{N}(\hat{Y_{i}}-\bar{Y})^{2}=\sum\nolimits_{j=1}^{q}n_{‌​j}(\bar{Y}_{j\cdot}-\bar{Y})^{2}=SST$. means $SSR = SST$??!!! Oct 25 comment What is the $P( |X-10| > 2)$ of a normal distribution when the mean is 10, and the standard deviation is 6? for the second term are you sure it's $P(X<8)$ not \$P(2