Using the table answer these questions.   Decide whether the following statement is true or false. The total units earned in the row for Total is not significantly different between students employed off- or on-campus.    Based on the effect size (AKA Cohen’s d) for total units earned in the row for Total(d = .15), how would you describe the magnitude of Cohen’s d? a. Small b. Medium c. Large d. Cannot determine based on the information available.

A survey of 1520 Americans adults asked "Do you feel overloaded with too much information?" The results indicate that 80% of females feel information overload compared to 65% of males. The results are given in table. Overloaded Yes Gender Male Female Total 480 624 1104 a. Construct contingency tables based on total percentages, row percentages, and column percentages. b. What conclusions can you reach from these analyses? No 260 156 416 Total 740 780 1520 ... a. Construct contingency tables based on total percentages, row percentages, and column percentages. Start with the table based on total percentages. Gender Overloaded Male Female Total Yes % % No % % % Total % (Round to two decimal places as needed.) Construct the table based on row percentages. Gender Overloaded Male Female Total % % Yes % No % % Total % % %

I use excel. I do not know what data anlysis toolpak to use, however, to find the answer, t stat, df, P, etc. I also don't know how to word Ho and Ha. Thanks!   The data shown below are the initial weights and gains in weight (in grams) of female rats on a high protein diet from 24 to 84 days of age. The point of interest in these data is whether the gain in weight is related to (dependent on) the initial weight. If so, then feeding experiments on female rats can be made more precise by adjusting for differences in initial weights of the rats. Statistically test this with a regression analysis.   Rat Number Initial Weight (gms) Weight Gain (gms) 1 50 128 2 64 159 3 76 158 4 64 119 5 74 133 6 60 112 7 69 96 8 68 126 9 56 132 10 48 118 11 57 107 12 59 106 13 46 82 14 45 103 15 65 104   What is the equation for the multiple regression? What is the best estimate of the amount of variance in Y which is due to its regression on the independent variables?

Please explain