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The 2017 Data Detectives Summer Camp
ACCEPTING APPLICATIONS IN MAY/JUNE

	Data Detectives Summer Camp 2017The NCHS Data Detectives Camp is a Science, Technology, Engineering, and Math (STEM) summer camp that focuses on statistics for rising 6th and 7th grade students. This one-week commuter day camp is an exciting opportunity for boys and girls to learn about statistics through a variety of fun, hands-on activities!

Statistics and probability concepts are included in K-12 curriculum standards, in particular the Common Core State Standards. Data Detectives Camp activities will specifically cover statistical concepts developed during grades 6th and 7th and will teach kids to think like a data detective by asking the right question, collecting the needed information, analyzing the data, and determining the answer.

The camp is conducted by the National Center for Health Statistics in collaboration with the American Statistical Association, University of Maryland’s School of Public Health, the CDC Museum, the Bureau of Justice Statistics and the Joint Programs in Survey Methodology.

View the camp flyer [PDF]

Camp Information

Dates: Monday, 07/31/2017 – Friday, 08/04/2017

Times: 9:00 am – 4:00 pm daily with drop off from 8:30-9:00 am and pick up from 4:00-4:30 pm

Eligibility: Children entering 6th or 7th grade in the fall of 2017

Cost: There is no fee for registering or attending the Camp

Location: University of Maryland campus, College Park, Maryland.

Contact Information: Email us at datadetectives@cdc.gov

 

 

Applying to Camp

The Data Detectives Camp will select 30 rising 6th and 7th graders to take part in the one-week summer camp. Those who have participated previously should not apply this year. Applications will be available online at the end of May.

 

What to Expect when Applying

  • A brief application for the parent/guardian to complete about the child,
  • A brief application for the child to complete about him or herself,
  • A short deadline for submitting your on-line application,
  • A complete application must include both the parent and child portions; and
  • Acceptance emails will be sent soon after submission.

Please Continue to Check our Website for Updates as They Become Available.

 

Sample Activities

Daily activities will revolve around statistical concepts that will be explored through a variety of activities, group projects, and computer programs.

	basketball team

Distributions and Outliers

Learn about distributions by measuring the height of fellow campers. See how a 7-foot tall basketball player throws off the average height of your class.

	children comparing arm span

Comparisons and Predictions

Collect data to draw comparisons. Compare the mean height of your class to the mean number of siblings. Can you draw any conclusions? Can you predict someone’s height by the number of siblings they have? What if you measured arm span? Which is a better predictor of height?

	girl with powerpoint

Visualizing Data

Learn to display your data through figures and charts. How does data visualization allow you to interpret your data and draw conclusions? What are its limitations?

	games

Game Show Friday

Review the concepts you learned on the last day of camp with fun, group trivia games.

Photos from 2016

	Campers record beam time at UMD gym

UMD Gym

Beam time and other data are collected to illustrate the concept of distributions

	Group of kids at 2016 Data Detectives Camp

Lunch Time Fun

Through group learning and activities, campers develop friendships over the course of the week

	Campers present a final project at 2016 Data Detectives Camp

Presentations

Weekly activities culminated in group presentations to solve a crime

	Group photo on last day of 2016 Data Detectives Camp

Closing Ceremonies

Campers receive certificates of completion from NCHS Director and staff

 

Supporting Organizations

	American Statistical Association

	The Joint Program in Survey Methodology

	CDC Museum Disease Detective Camp

	University of Maryland School of Public Health

	Bureau of Justice Statistics

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