Yes because they organize data in a way that somebody can read it.
Yes, in the sense that each leaf represents a frequency of one.
Yes, a stem-and-leaf plot shows the frequency distribution of a variable.
It shows how data changes over time
Line plots are used to figure out how much of one value is in a set of data. Histograms are used to show/compare data in what seems like a bar graph, but instead it used to compare data over a period of time, number of a value, ect. ( intervals)
Also called the box plots, see: http://mathworld.wolfram.com/Box-and-WhiskerPlot.html Many other excellent references can be found on the internet. The intent is to visually show graphically the mean (or median) of the data and the variability of data in terms of first quartile (Q1) and third quartile (Q3). Typically, it is applicable when there is sufficient and related data for a particular interval of time and the variability (range) of this data is of interest. The focus in generally is a time trend in the data. Changes in stock market prices or other economic/ financial analyses can use box plots. An example can be the selling price of automobiles per month because perhaps the median price is going down, but the high priced cars (Q3) is going up.
Dotplots and stem-and-leaf displays both show every data value.
Yes, in the sense that each leaf represents a frequency of one.
Yes, a stem-and-leaf plot shows the frequency distribution of a variable.
Shows Frequency In A Set Of Data With X's.
to show the relationship between 2 sets of data
It shows how data changes over time
the data set is simply the most frequently occurring value.
Line plots primarily display trends over time or continuous data rather than individual data points. While they can show specific values at particular intervals, the focus is on the overall pattern and relationship between the variables. Individual data points may be less emphasized, making line plots more suitable for illustrating changes rather than detailing every single observation.
Line plots are best used to show trends over time or to display continuous data points. They are useful for visualizing how one variable changes in relation to another. Line plots are effective in highlighting patterns or fluctuations in data and are commonly used in data analysis and research.
A line plot displays data points along a number line, connecting them with lines to show trends or changes over time, making it useful for visualizing continuous data. In contrast, a dot plot represents individual data points as dots above a number line, which helps in displaying the frequency of values and comparing distributions within a dataset. While both can show the same data, line plots emphasize trends, whereas dot plots focus on the distribution and frequency of individual values.
A statistical graph that plots three or more related quantities simultaneously is often referred to as a multivariate plot. One common type of multivariate plot is a scatter plot matrix, where multiple scatter plots are arranged in a grid to show relationships between pairs of variables. Other types include 3D scatter plots and parallel coordinate plots, which can help visualize complex data sets with multiple dimensions.
experiment to show the presence of in a leaf