Repetimos el estudio para los mismos datos del ejemplo anterior.[br][br][i]Se ha realizado la siguiente observación de las notas correspondientes a una determinada prueba  sobre 30 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 representar los datos en un diagrama de barras.[/i]           [br][br]Comenzamos introduciendo todos los datos en una nueva hoja de cálculo.[br][br][img 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[/img][br][br]Antes de utilizar el comando para representar los datos, seleccionamos todas las celdas que contienen los datos para crear la lista de notas, siguiendo el proceso expuesto en el ejemplo anterior, para lo que utilizaremos la herramienta  [img width=33,height=32]data:image/png;base64,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[/img].[br]La lista aparecerá en la vista algebraica. Para obtener los valores de las frecuencias podemos utilizar el comando [b]Frecuencia[/b], escribiendo [b]Frecuencia[lista de datos][/b] en la línea de comandos.[br][br]

Para obtener la representación gráfica de los datos anteriores, podemos seleccionar todos los datos en la hoja de cálculo, pulsando a continuación sobre la herramienta [b]Análisis una variable[/b] [img width=35,height=35]data:image/png;base64,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[/img].[br]Aparecerá una nueva ventana con los datos que previamente se han seleccionado.[br][br][img 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[/img][br][br]Al pulsar el botón [b]Analiza[/b] aparecerá un histograma. Bastará con cambiar el tipo de gráfico para obtener el diagrama de barras.[br][br]