IM 6.8.10 Practice: Finding and Interpreting the Mean as the Balance Point

On school days, Kiran walks to school. Here are the lengths of time, in minutes, for Kiran’s walks on 5 school days: 16, 11, 18, 12, 13. Create a dot plot for Kiran’s data.
Without calculating, decide if 15 minutes would be a good estimate of the mean. If you think it is a good estimate, explain your reasoning. If not, give a better estimate and explain your reasoning.
Calculate the mean for Kiran’s data.
In the table, record the distance of each data point from the mean and its location relative to the mean.
Calculate the sum of all distances to the left of the mean, then calculate the sum of distances to the right of the mean. Explain how these sums show that the mean is a balance point for the values in the data set.
Noah scored 20 points in a game. Mai's score was 30 points. The mean score for Noah, Mai, and Clare was 40 points. What was Clare's score? Explain or show your reasoning.
Compare the numbers using >, <, or =.
Select [b]all [/b]the expressions that represent the total area of the large rectangle.[br][img]data:image/png;base64,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[/img]
Is [math]\frac{2}{3}<\frac{3}{4}[/math], or is [math]\frac{3}{4}<\frac{2}{3}[/math]? Explain how you know.
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Information: IM 6.8.10 Practice: Finding and Interpreting the Mean as the Balance Point