The following data (in Drink) 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: 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 it 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 conduct the t test in (a) valid? Explain. e. Examine the value 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 pattern have on the validity of the results in (a)?
The following data (in Drink) 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: 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 it 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 conduct the t test in (a) valid? Explain. e. Examine the value 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 pattern have on the validity of the results in (a)?
The following data (in Drink) 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:
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 it 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 conduct the t test in (a) valid? Explain.
e. Examine the value 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 pattern have on the validity of the results in (a)?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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