IM 6.8.8 Lesson: Describing Distributions on Histograms

Which histogram does not belong? Be prepared to explain your reasoning.
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[/img]
Here is a set of histogram cards. In your group, sort them into two piles—one for histograms that are approximately symmetrical, and another for those that are not.
Discuss your sorting decisions with another group. Do both groups agree which cards should go in each pile? If not, discuss the reasons behind the differences and see if you can reach agreement. Record your final decisions.[br][list][*]Histograms that are approximately symmetrical:[br][/*][*]Histograms that are not approximately symmetrical:[/*][/list]
Histograms are also described by how many major peaks they have. Histogram A is an example of a distribution with a single peak that is not symmetrical.[br][br]Which other histograms have this feature? [br]
Some histograms have a gap, a space between two bars where there are no data points. For example, if some students in a class have 7 or more siblings, but the rest of the students have 0, 1, or 2 siblings, the histogram for this data set would show gaps between the bars because no students have 3, 4, 5, or 6 siblings.[br][br]Which histograms do you think show one or more gaps?
Sometimes there are a few data points in a data set that are far from the center. Histogram A is an example of a distribution with this feature.[br][br]Which other histograms have this feature?
Your teacher will provide you with some data that your class collected the other day. Use the data to draw a histogram that shows your class’s travel times.
Describe the distribution of travel times. Comment on the center and spread of the data, as well as the shape and features.
Use the data on methods of travel to draw a bar graph. Include labels for the horizontal axis.
Describe what you learned about your class’s methods of transportation to school. Comment on any patterns you noticed.
Compare the histogram and the bar graph that you drew. How are they the same? How are they different?
Use one of these suggestions (or make up your own). Research data to create a histogram. Then, describe the distribution.
[list][*]Heights of 30 athletes from multiple sports[/*][*]Heights of 30 athletes from the same sport[/*][*]High temperatures for each day of the last month in a city you would like to visit[/*][*]Prices for all the menu items at a local restaurant[/*][/list]

IM 6.8.8 Practice: Describing Distributions on Histograms

The histogram summarizes the data on the body lengths of 143 wild bears. Describe the distribution of body lengths. Be sure to comment on shape, center, and spread.
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[/img]
Which data set is more likely to produce a histogram with a symmetric distribution? Explain your reasoning.
[list][*]Data on the number of seconds on a track of music in a pop album.[/*][*]Data on the number of seconds spent talking on the phone yesterday by everyone in the school.[br][/*][/list]
Evaluate the expression 4x³ for each value of x.
[math]x=1[/math]
[math]x=2[/math]
[math]x=\frac{1}{2}[/math]
Decide if each data set might produce one or more gaps when represented by a histogram. For each data set that you think might produce gaps, briefly describe or give an example of how the values in the data set might do so.
The ages of students in a sixth-grade class.
The ages of people in an elementary school.
The ages of people eating in a family restaurant.
The ages of people who watch football.
The ages of runners in a marathon.
Jada drank 12 ounces of water from her bottle. This is 60% of the water the bottle holds.
Write an equation to represent this situation. Explain the meaning of any variables you use.
How much water does the bottle hold?

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