the mean is the same as the average. for example the mean of the numbers 5, 6, 10, and 15 is 9 because all the numbers added together is 36 and 36 divided by 4 (which is the amount of numbers there is) equals 9.
The reason for organizing, analyzing and classifying data is find out the data relates. The relationship between the elements of a data will form the basis of the information.
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!
tools for collecting scientific data....one tool for recording,collecting, and analyzing data is a microscope :)))
Data compilation is taking survey or evaluation answers, gathering them into a database, and analyzing the results for further suggestions, improvements, and/or recommendations.
The process of manipulating, analyzing, and interpreting data could be considered statistics. This could also be considered to be data analysis.
It depends on the type of data you are analyzing. For research, common methods for analyzing data are t-tests, ANOVA, MANOVA, and chi-square.
visualize the data
After analyzing data from their experiments, scientists will draw conclusions. They will consider whether their hypothesis was correct and what the observable trends were in the data.
The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is also called knowledge dicovery.
It means your trying to figure something out like for exampleyour doing a math question , so your over analyzing the dataand trying to search for the answer .
collecting the data
analyzing the data