[i]Se ha realizado la siguiente observación de las notas correspondientes a una determinada prueba sobre 30[br]alumnos, obteniendo los resultados siguientes:[/i][br][br]            4          5          6          4          7          2          4          5          7          1[br][br]            4          8          7          9          6          5          6          3          6          1          [br][br]            5          2          6          10       3          2          8          6          4          6[br][br][i]A partir de los datos anteriores construye la tabla de frecuencias y representa los datos en un diagrama de barras.[/i]           [br][br]Una vez realizada cualquier observación, el siguiente paso es la organización de los datos, por lo que contaremos las veces que aparece cada una de las notas para determinar las frecuencias absolutas.[br]En esta ocasión lo haremos de forma manual, aunque como comprobaremos más adelante la hoja de cálculo podría devolver los datos correspondientes a las frecuencias de cada uno de los valores de la variable.[br]Una vez contabilizados todos los datos tendríamos la tabla de frecuencias.[br]Introducimos los datos anteriores en la hoja de cálculo, situando en la primera columna los valores de las notas y en la segunda los valores obtenidos para las frecuencias absolutas.[br]Cada una de las casillas de la hoja de cálculo se denomina [i]celda[/i] que estará determinada por la columna y la fila que ocupa. En la imagen siguiente aparece representada la celda B3 (columna B, fila 3).[br]Al introducir los valores en la hoja de cálculo aparecerán en la forma siguiente:[br][br][img 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[/img][br][br]Ahora deseamos que la hoja de cálculo nos devuelva la suma de todas las frecuencias absolutas. Para que ello, nos situamos en la casilla B12, justo debajo de la última frecuencia, la que corresponde a la nota 10.[br][br][img 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[/img][br][br]Como vamos a introducir una fórmula es necesario comenzar pulsando sobre la herramienta [b]Suma[/b].[br][br][img 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[/img][br][br]Aparecerá el signo de interrogación en la celda B12 ya que no hemos seleccionado las celdas de las que deseamos obtener su suma. Una vez seleccionadas, arrastrando con el ratón, obtendremos el valor de la suma tal y como aparece en la imagen siguiente:[br][br][img 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[/img][br][br]Podemos observar que como valor en celda B12 aparece la siguiente expresión [b]=Suma[B2:B11][/b], lo que[br]indica que hemos sumado todas las celdas comprendidas entre las dos celdas indicadas.[br][br][img width=218,height=45]data:image/png;base64,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[/img][br][br]Ya hemos obtenido que el valor de la suma de las frecuencias es igual a 30.[br][br]

Para obtener una gráfica de los datos anteriores es conveniente convertir los datos de la hoja de cálculo a listas que son las estructuras de datos que maneja GeoGebra como argumentos en la mayoría de los comandos disponibles para estadística.[br]Para convertir una serie de datos de la hoja de cálculo en una lista es necesario seleccionarlos previamente.[br][br][img 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[/img][br][br]A continuación, seleccionamos la herramienta [b]Crea lista[/b].[br][br][img 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el siguiente cuadro de diálogo para establecer algunas características de la lista que deseamos crear.[br][br][img 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[/img][br][br]Las opciones disponibles son fáciles de entender. Por un lado, establecer el nombre de la lista que puede ser [i]notas[/i]; por otro si deseamos que sean objetos dependientes o libres y la ordenación de los elementos.[br]Al seleccionar objetos libres ya no se actualizarán al modificar algún valor en la hoja de cálculo, por lo que nos interesa que sean objetos dependientes. Y en este caso, el orden será por fila por lo que no es necesario cambiar nada.[br]Al pulsar sobre el botón [b]Crea [/b]aparecerá la lista de valores correspondiente a las notas en la vista algebraica en la que podemos observar que los datos aparecen entre llaves separados por comas.[br][br][img 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[/img][br][br]Repetimos el proceso con la lista de frecuencias para obtener una nueva lista que en este caso denominamos [i]alumnos[/i].[br][br][img 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[/img][br][br]Para obtener un gráfico de barras utilizaremos el comando [b]Barras[/b], escribiendo en la línea de entrada los argumentos siguientes:[br][br][b]Barras[notas,alumnos][/b][br][br]