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you subtrackt the biggest to the smallest piece of data.

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Related Questions

How can determining the mean and median and range help to analyze your experimental data?

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 data analyzing data?

tools for collecting scientific data....one tool for recording,collecting, and analyzing data is a microscope :)))


What is the math tools scientists use when analyzing data?

Mode,range,anomalous data,percent error,mean,precision,meddian,estimate,accuracy,and maybe significant figures


What is manipulating analyzing and interpreting data?

The process of manipulating, analyzing, and interpreting data could be considered statistics. This could also be considered to be data analysis.


How is data anylazed?

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.


The reason for organizing analyzing and classifying data is?

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.


What does analyzing data in graphs or charts allow you to do?

visualize the data


What do scientists draw after analyzing data from experiment?

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.


What comes before analyzing data in the scientific method?

collecting the data


In the scientific method what step follows data collection?

analyzing the data


What should an experimenter do after analyzing data?

scientist analyes their experiment


When analyzing data which does a scientist look for?

Patterns