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1. One sample has a mean of M=4 and a second sample has a mean of M=9. The two samples are combined into a single set of scores. a. What is the mean for the combined set if the first sample has n=4 scores and the second sample has n=6? b. What is the mean for the combined set if the first sample has n=6 scores and the second sample has n=4? 2. For the following population of N = 8 scores: 1, 6, 1, 1, 1 a. Calculate the range and the standard deviation. (Use either definition for the range) b. Add 2 points to each score and compute the range and the standard deviation again. Describe how adding a constant to each score influences measures of variability. 3. After 2 points have been added to every score in a sample, the mean is found to be M=75 and the standard deviation is s=4. What were the values for the mean and standard deviation for the original sample? b. After every score in a sample has been multiplied by 2, the mean is found to be M=40 and the standard deviation is s=6. What were the values for mean and standard deviation for the original sample? 4. Calculate the SS, variance, and standard deviation for the following sample of n=6 scores: 6, 4, 6, 5, 4, 5 (Note: The computational formula for SS works well with these scores.) 5. Calculate the SS, variance, and standard deviation for the following population of N=8 scores: 8, 7, 7, 9, 8, 7, 9, 9 (Note: The computational formula for SS works well with these scores.)
Using regression as the procedure, produce the forecast of weekly sales for the periods Jan 27, 2014 through Jan 19, 2015 - show a graph of the historical and forecasted sales in one graph
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quantitative analysis for decision making class please write for each summarizing with highlights of the review items
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