In: Statistics and Probability
The following data represent the amount of soft drink filled in a sample of 50 consecutive 2- liter bottles.
The results, listed horizontally in the order of being filled, were:
| 
 2.109  | 
 2.086  | 
 2.066  | 
 2.075  | 
 2.065  | 
 2.057  | 
 2.052  | 
 2.044  | 
 2.036  | 
 2.038  | 
| 
 2.031  | 
 2.029  | 
 2.025  | 
 2.029  | 
 2.023  | 
 2.02  | 
 2.015  | 
 2.014  | 
 2.013  | 
 2.014  | 
| 
 2.012  | 
 2.012  | 
 2.012  | 
 2.01  | 
 2.005  | 
 2.003  | 
 1.999  | 
 1.996  | 
 1.997  | 
 1.992  | 
| 
 1.994  | 
 1.986  | 
 1.984  | 
 1.981  | 
 1.973  | 
 1.975  | 
 1.971  | 
 1.969  | 
 1.966  | 
 1.967  | 
| 
 1.963  | 
 1.957  | 
 1.951  | 
 1.951  | 
 1.947  | 
 1.941  | 
 1.941  | 
 1.938  | 
 1.908  | 
 1.894  | 
a. At the 0.05 level of significance, is there evidence that the mean amount of soft drink filled is different from 2.0 liters?
b. Determine the p- value in ( a) and interpret its meaning.
c. In ( a), you assumed that the distribution of the amount of soft drink filled was normally distributed. Evaluate this assumption by constructing a boxplot or a normal probability plot.
d. Do you think that the assumption needed in order to con-duct the t test in ( a) is valid? Explain.
e. Examine the values of the 50 bottles in their sequential order, as given in the problem. Does there appear to be a pattern to the results? If so, what impact might this pat-tern have on the validity of the results in ( a)?