The Correlation Guessing Game provides panels of four scatterplots and challenges you to match them with four potential values of Pearson's correlation.
The Correlation Guessing Game provides panels of four scatterplots and challenges you to match them with four potential values of Pearson's correlation.
Shapesplosion is an on-line game in which a person is expected to place specifically shaped pegs into the appropriate holes within a short time period. In this project, students are asked to use the Shapesplosion game to design an experiment and collect data. This game is specifically designed so that students have the opportunity to develop and test their own unique research question. You can leave all the variables blank when you are simply trying out the game, however, if you want to find your score is the database of results, you will need to select the Participant Info box.
TigerSAMPLING is almost identical to TigerSTAT. However in the TigerSAMPLING game there are additional questions that emphasize BIAS and GENERALIZABILITY. These games collect data and explore models for estimating the age of a Siberian tiger. In this game, students act as researchers on a national preserve where they are expected to catch tigers, collect data, analyze their data (using simple linear regression on transformed data), and draw appropriate conclusions
TigerSTAT is a three dimensional on-line game where students collect data and explore models for estimating the age of a Siberian tiger. In this game, students act as researchers on a national preserve where they are expected to catch tigers, collect data, analyze their data (using simple linear regression on transformed data), and draw appropriate conclusions.
Correlation is not cause, it is just a 'music of chance'.
Siri Hustvedt (1955 - )
…nobody with much experience of medical statistics supposes that the method of multiple correlation (or any other method) carried so far as the available data permit one to carry it, can succeed in isolating the significant factors and only the significant factors.
Hilda Mary Woods (1892 - 1971)