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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!


What is the range of your independent variable?

The range of an independent variable refers to the set of values that the variable can take in a given study or experiment. It is determined by the experimental design or the specific conditions under which the data is collected. For example, if the independent variable is temperature, the range might be from 0°C to 100°C, depending on the context. Understanding the range is crucial for analyzing the effects of the independent variable on the dependent variable.


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


When analyzing data how is frequency determined?

Frequency in data analysis is determined by counting the number of times each unique value or category appears within a dataset. This involves organizing the data into a frequency distribution, which lists each distinct value alongside its corresponding count. Frequency can be presented in different forms, such as absolute frequency, relative frequency (proportion of total), or cumulative frequency, depending on the analysis requirements. Analyzing frequency helps identify patterns, trends, or anomalies within the data.


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 is the range of data between 345678?

The range of a single data point, such as 345678, cannot be determined because the range typically requires a set of values. The range is calculated as the difference between the maximum and minimum values in a dataset. If you have a dataset that includes multiple values, please provide them for a specific range calculation.


What comes before analyzing data in the scientific method?

collecting the data