You can estimate the median and the mean.
You can estimate them both.
You can estimate them both.
mode
I'm unable to see the histogram you're referring to. However, to describe a data distribution, you can look for characteristics such as its shape (normal, skewed, bimodal), center (mean or median), spread (range or standard deviation), and any outliers. If you provide details about the histogram, I can help you analyze it!
Mean, median and mode are ways to find averages. The mode is the most common answer in a set of data. The median the number that is in the middle when the numbers are put in order. The mean is the statical average.
You can estimate them both.
You can estimate them both.
mode
You can always find measures of central tendency, such as the mean, median, and mode, in a histogram. A histogram visually represents the distribution of data and allows for easy identification of central tendencies. Additionally, these measures can also be found in other graphs like box plots and bar charts, but histograms are particularly effective for continuous data.
I'm unable to see the histogram you're referring to. However, to describe a data distribution, you can look for characteristics such as its shape (normal, skewed, bimodal), center (mean or median), spread (range or standard deviation), and any outliers. If you provide details about the histogram, I can help you analyze it!
Mean, median and mode are ways to find averages. The mode is the most common answer in a set of data. The median the number that is in the middle when the numbers are put in order. The mean is the statical average.
when there are extreme values in the data
100
To find the mean, you all them all up and divide by how many ever there are. To find the median, you put them in order and the middle one is the median. If there are an even number of data, you take the two in the middle, add them together, then divide by 2.
Yes.
No, not all data sets have a mode but all data sets have a mean and median.
Analyzing the mean, median, and range of your experimental data helps establish patters present in the data set. Analyzing the mean will define the quantitative average, analyzing the median will find the number that is center most, and analyzing the range will find the difference between the largest and smallest number in the data set. Good luck!