Consider the following table. Following is the graphic representation of the tab
ID: 3234250 • Letter: C
Question
Consider the following table.
Following is the graphic representation of the table above, using six side-by-side dotplots. The mean commute time for each city has been visually estimated and located with an X.
(a) Does it appear that the city has an effect on the average amount of time spent by workers who commute to work during the 8:00 AM rush hour? Explain.
No. The means are basically the same value.
Yes. Not all of the means are the same value.
Yes. The means are basically the same value.
No. Not all of the means are the same value.
(b) Does it visually appear that the city has an effect on the variation in the amount of time spent by workers who commute to work during the 8:00 AM rush hour? Explain.
Yes. Boston and St. Louis have larger spreads to their datasets
Yes. The variances are the same value.
No. Boston and St. Louis have larger spreads to their datasets
No. Philadelphia and Seattle have smaller spreads to their datasets.
identify: 1) the dependent variable, 2) the independent variable and 3) state the Null Hypothesis as it applies to these two variables.
One-Way Travel to Work(in minutes) Atlanta Boston Dallas Philadelphia Seattle St. Louis 29 18 42 30 15 20 21 37 25 19 54 33 20 37 36 31 42 15 25 32 39 23 37 30 37 32 20 33 35 26 34 26 48 35Explanation / Answer
Since all means are approximately same, the correct option is “No. The means are basically the same value.” There are outliers in Boston and St. Louis cities. Therefore, the correct option is “Yes, Boston and St. Louis have larger spreads to their datasets.”