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)?