From a dot plot, measures of center include the mean and median, which provide insights into the average and the middle value of the data set, respectively. Measures of spread can be identified through the range, which is the difference between the maximum and minimum values, as well as the interquartile range (IQR), which indicates the spread of the middle 50% of the data. Additionally, the distribution shape observed in the dot plot can highlight variability and potential outliers.
box-and-whisker plot
To find measures of variability, you typically calculate the range, variance, and standard deviation of a dataset, which provide insights into how spread out the data points are. A box-and-whisker plot is then constructed by identifying the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values of the data. The box represents the interquartile range (IQR) between Q1 and Q3, while the "whiskers" extend to the minimum and maximum values, excluding outliers. Analyzing the plot allows you to assess the distribution, central tendency, and potential outliers in the data.
Find the number that is most to the right of the line plot.
To find the range of a dataset, a box plot (or box-and-whisker plot) is particularly useful. It visually displays the minimum, first quartile, median, third quartile, and maximum values, allowing you to easily identify the range, which is the difference between the maximum and minimum values. Alternatively, a simple line graph or scatter plot can also help visualize the spread of the data, but a box plot is more concise for specifically determining the range.
A frequency distribution plot.
No. You can do that from a bar graph, a stem and leaf chart, a scatter plot, a cumulative frequency chart.
box-and-whisker plot
The median.
A box plot may be used at a preliminary stage to determine the centre and spread of a set of data. The box [and whiskers] plot measures the central point by the median and the range from the maximum and minimum or the quartile points.
The box and whisker plot informs you of the 5 number summary, which comprises of the minimum and maximum, the median, and the first and third quartiles. The minumum and maximum give you the range, which is not given by measures of central tendancy. also, if it a modified box and whisker plot, outliers will be marked separatley from the rest of the plot, outliers are also not included in the measures of center.
The answer will depend on what PLOT A and PLOT B are. But since you have chosen not to provide that information the answer is
the plot the plot
A box plot summarises 5 key indicators of a distribution: the median, minimum, maximum and the lower and upper quartiles. The first of these is a measure of the central tendency whereas the others, in pairs, give measures of the spread as well as skewness.
center of it .
A box and whisker plot has four quartiles in which its data is spread across.
conflict
To find measures of variability, you typically calculate the range, variance, and standard deviation of a dataset, which provide insights into how spread out the data points are. A box-and-whisker plot is then constructed by identifying the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values of the data. The box represents the interquartile range (IQR) between Q1 and Q3, while the "whiskers" extend to the minimum and maximum values, excluding outliers. Analyzing the plot allows you to assess the distribution, central tendency, and potential outliers in the data.