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# AMDM U3 Graphs

Term | Definition |
---|---|

Line Plot | Quick and easy way to organize the data so that the distribution of the data can be easily seen |

Line plot | Every piece of data is available |

Line plot | Mean median and mode and range are easily determined |

Line plot | A working draft that can be easily used to create a pictograph or bar graph |

Line plot | Not practical for very large data sets |

Line plot | Not practical for for data with a large number or data values |

Bar graph | Similar to line plot but more practical for large data sets with few data values |

Bar graph | Exact data can be reconstructed if data have not been grouped into categories |

Bar graph | Distribution of data can be easily seen clusters of data gaps in data or bell shaped distribution |

Bar graph | Range or spread of data is easily determined |

Bar graph | Mode can be easily seen |

Bar graph | Mean and median can be determined with some effort |

Bar graph | Can be used to represent numerical or categorical data |

Bar graph | Not practical for data with a large number of data values |

Bar graph | Two coordinates must be read to fully understand the graph |

Bar graph | Data have to be tallied prior to creating graph |

Bar graph | Scaling , labeling , and readability need to be considered when creating this graph |

Stem-and-Leaf Plot | Exact data can be reconstructed |

Stem-and- Leaf Plot | Easier to see the shape of the data when the number of data values and size of data set are about the same |

Stem-and-Leaf Plot | Groups data values using their digits |

Stem-and-Leaf Plot | Distribution of data can easily be seen (i.e., clusters of data, gaps in data, gaps in data, or bell-shaped distribution) |

Stem-and-Leaf Plot | Range or spread of data is easily determined |

Stem-and-Leaf Plot | Mean, median, and mode can be calculated |

Stem-and-Leaf Plot | Back-to-back graphs of this kind can compare two different sets of data |

Stem-and-Leaf Plot | Not practical for very large data sets since sorting and reorganizing data can be time-consuming |

Stem-and-Leaf Plot | More restrictive data can histograms are since the size of their classes (groups) is based on their last digits. Histograms are not restricted to any class length |

Histogram | Convenient for representing large quantities of data |

Histogram | General distribution of data can be quickly seen |

Histogram | Similar to stem-and-leaf plots but without the specific data values |

Histogram | Size of classes is not restricted |

Histogram | Specific data values are lost-- data cannot be reconstructed |

Histogram | Appearance of the datas distribution can be manipulated depending on numbers used |

Histogram | Exact mean median and mode cant be determined |

Pie chart | Shows the part to whole relationship between data |

Pie chart | Clusters numerical data into groups |

Pie chart | Easier to see the fraction of the data satisfying certain conditions |

Pie chart | Specific data values are lost data cannot be reconstructed |

Pie chart | Exact mean median mode and range of original numerical data cannot be determined |

Box & whisker plot | Effective representation for large quantities of data |

Box & whisker plot | Range con be determined |

Box & whisker plot | Outliers can be revealed |

Box & whisker plot | Median and interquartile ranges are easily identified |

Box & whisker plot | Plots using different sets of data can be easily compared when graphed on the same scale |

Box & whisker plot | Specific data values are lost data cannot be reconstructed |

Box & whisker plot | Mean and mode cannot be determined |

Scatterplot | Shows relationship between two different variables . |

Scatterplot | If a pattern or trend exist within the relationship , generalizations and/or predictions can be made |

Scatterplot | Exact data cannot always be determined -- only approximate values will be possible at times |

Scatterplot | Given there are two values represented at any given point , measures of center are not informative |

Line graph | Shows the change between two different variables ( where often one variable may be time ) |

Line graph | Can be misleading due to scale sensitivity |

Line graph | Only appropriate for displaying two variables with one an independent variable being observed exactly at one consistent intervals |

Created by:
Deigh