Darryl Cosby

When using Avril Voghlan’s method of Holt-Winters Filtering function to produce a simple exponential smoothing model, notice the above plot shows the smoothed plot in red over the original time series plot in black. The forecast fits close to the observed values pretty well but appears to lag.

 

 

 

 

Compare the Mean and Standard deviation of your sample to the entire population of this set (8,14, 16, 10, 11).   x<-c (8, 14, 16, 10, 11)   Standard deviation (x) = 3.193744   The mean of the Sample is like the Mean of the entire population, the Sample is taken from the whole population. But because the ‘n’ the value of the Standard deviation varies. The sample standard deviation is 1.8439 and, Entire population standard deviation is 3.1937   Does the sample proportion p have approximately a normal distribution? Explain.   Yes, the Sample Proportion p is approximately a normal distribution. np= 100* 0.95 = 95 It is > = 10     What is the smallest value of n for which the sampling distribution of p is approximately normal?   np<= 10   10 is the smallest value of n for which the sampling distribution of p is about normal.     Simulated coin tossing is probably better done using a function called rbinom than using a function ...