Here is a [b]dot plot [/b]for a data set.[br][img]data:image/png;base64,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[/img][br][br]Determine if each of the following would be an appropriate label to represent the data in the dot plot?
Explain your reasoning. [br]
Write it below the scale of the dot plot. Be sure to include the unit of measurement.[br]
In your scenario, what does one dot represent?
In your scenario, what would a data point of 0 mean?
What would a data point of [math]3\frac{1}{4}[/math] mean?
How long does it usually take you to travel to school? Answer to the nearest minute.
[list][*]Walk[/*][*]Bike[/*][*]Scooter or skateboard[/*][*]Car[/*][*]School bus[/*][*]Public transport[/*][*]Other[/*][/list]
How tall are you without your shoes on? Answer to the nearest centimeter.
What is the length of your right foot without your shoe on? Answer to the nearest centimeter.
What is your arm span? Stretch your arms open, and measure the distance from the tip of your right hand’s middle finger to the tip of your left hand’s middle finger, across your back. Answer to the nearest centimeter.
How important is the following issue to you? Rate each on a scale from 0 (not important) to 10 (very important): Reducing pollution
How important is the following issue to you? Rate each on a scale from 0 (not important) to 10 (very important): Recycling
How important is the following issue to you? Rate each on a scale from 0 (not important) to 10 (very important): Conserving water
Do you have any siblings?
How many hours of sleep per night do you usually get when you have school the next day? Answer to the nearest half hour.
How many hours of sleep per night do you usually get when you do not have school the next day? Answer to the nearest half hour.
[list][*]Have a snack[/*][*]Do homework[/*][*]Read a book[/*][*]Talk on the phone[/*][*]Practice a sport[/*][*]Do chores[/*][*]Use the computer[/*][*]Participate in an extracurricular activity[/*][/list]
[list][*]A city or state leader[/*][*]A champion athlete[/*][*]A movie star[/*][*]A musical artist[/*][*]A best-selling author[/*][/list]
[list][*]Playing sports or doing outdoor activities[/*][/list]
[list][*]Using a screen for fun (watching TV, playing computer games, etc.)[/*][/list]
[list][*]Doing homework[/*][/list]
[list][*]Reading[/*][/list]
The first survey question about travel [i]time[/i] produces [b]numerical data[/b]. Identify [b][u]two [/u][/b]other questions that produce numerical data. For each, describe what was measured and its unit of measurement.[br][br][table][tr][td]Question #: ______[/td][td]What was measured:[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][tr][td][/td][td]Unit of measurement:[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][tr][td]Question #: ______[/td][td]What was measured:[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][tr][td][/td][td]Unit of measurement:[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][/table]
The second survey question about travel [i]method[/i] produces categorical data. Identify [b][u]two [/u][/b]other questions that produce [b]categorical data[/b]. For each, describe what characteristic or feature was being studied.[br][table][tr][td]Question #: ______ [/td][td]Characteristic being studied: [/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][tr][td][br][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][tr][td]Question #: ______[br][/td][td]Characteristic being studied:[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr][/table]
How many pets do you have?
How many years have you lived in this state?
What is your favorite band?
What kind of music do you like best?
What is the area code of your school’s phone number?
How much does your backpack weigh?
Name two characteristics you could investigate to learn more about your classmates. Make sure one would give categorical data and the other would give numerical data.
This list shows Priya’s records: [br][br]Jan Apr Jan Feb Oct May June July Aug Aug Sep Jan Feb Mar Apr Nov Nov Dec Feb Mar[br][br][br]This list shows Han’s records: [br]1 4 1 2 10 5 6 7 8 8 9 1 2 3 4 11 11 12 2 3[br][br][br]How are their records alike? How are they different?
What kind of data—categorical or numerical—do you think the variable “birth month” produces? Explain how you know.