Today students examined their own data from their Metric Olympic event, along with classmates' data and other unrelated data sets to practice conducting data analysis.
Basic measures of central tendency (arithmetic mean, median, and mode) were reviewed, along with range and patterns of distribution (including normal, or "bell curve" distribution as compared to distributions that are more skewed, such as long-tail distributions). The concept of outliers, best value, uncertainty and margin of error were all discussed, along with the distinction between accuracy and precision.
Upper-level students practiced calculating standard deviation and younger students began work on best values and uncertainty. (Note: You must be logged-in with a BCPS account to access.)
Students were asked to use this tool hosted by the BBC which compiles data on over 10,500 Olympians in order to compare their own "biometrics" (age, weight, and height) to identify their Olympic athlete twin, and then complete this sheet examining the data.
Basic measures of central tendency (arithmetic mean, median, and mode) were reviewed, along with range and patterns of distribution (including normal, or "bell curve" distribution as compared to distributions that are more skewed, such as long-tail distributions). The concept of outliers, best value, uncertainty and margin of error were all discussed, along with the distinction between accuracy and precision.
Upper-level students practiced calculating standard deviation and younger students began work on best values and uncertainty. (Note: You must be logged-in with a BCPS account to access.)
Students were asked to use this tool hosted by the BBC which compiles data on over 10,500 Olympians in order to compare their own "biometrics" (age, weight, and height) to identify their Olympic athlete twin, and then complete this sheet examining the data.