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Degrees of Freedom is the number of values in the final calculation of a statistic that are free to vary. It varies based on the specific statistical test or analysis being conducted. Check FAQs
DF=NGroups-1
DF - Degrees of Freedom?NGroups - Number of Groups?

Degrees of Freedom in Chi-square Goodness of Fit Test Example

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Here is how the Degrees of Freedom in Chi-square Goodness of Fit Test equation looks like with Values.

Here is how the Degrees of Freedom in Chi-square Goodness of Fit Test equation looks like with Units.

Here is how the Degrees of Freedom in Chi-square Goodness of Fit Test equation looks like.

8Edit=9Edit-1
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HomeIcon Home » Category Math » Category Statistics » Category Errors, Sum of Squares, Degrees of Freedom and Hypothesis Testing » fx Degrees of Freedom in Chi-square Goodness of Fit Test

Degrees of Freedom in Chi-square Goodness of Fit Test Solution

Follow our step by step solution on how to calculate Degrees of Freedom in Chi-square Goodness of Fit Test?

FIRST Step Consider the formula
DF=NGroups-1
Next Step Substitute values of Variables
∴ DF=9-1
Next Step Prepare to Evaluate
∴ DF=9-1
LAST Step Evaluate
∴DF=8

Degrees of Freedom in Chi-square Goodness of Fit Test Formula Elements

Variables
Degrees of Freedom
Degrees of Freedom is the number of values in the final calculation of a statistic that are free to vary. It varies based on the specific statistical test or analysis being conducted.
Symbol: DF
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Formulas to find Degrees of FreedomOpen Variable
Number of Groups
Number of Groups is the count of distinct categories, classes, or levels in a dataset. It represents the different divisions used to classify or group data points for analysis.
Symbol: NGroups
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Formulas to find Number of GroupsOpen Variable

Credits

Creator Image
Created by Nishan Poojary LinkedIn Logo
Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Udupi
Nishan Poojary has created this Formula and 500+ more formulas!
Verifier Image
Verified by Mona Gladys LinkedIn Logo
St Joseph's College (SJC), Bengaluru
Mona Gladys has verified this Formula and 1800+ more formulas!

Other Formulas to find Degrees of Freedom

​Go Degrees of Freedom in Independent Samples t Test
DF=NX+NY-2
​Go Degrees of Freedom in One Sample t Test
DF=N-1
​Go Degrees of Freedom in Simple Linear Regression Test
DF=N-2
​Go Degrees of Freedom in One-way ANOVA Test within Groups
DF=NTotal-NGroups

How to Evaluate Degrees of Freedom in Chi-square Goodness of Fit Test?

Degrees of Freedom in Chi-square Goodness of Fit Test evaluator uses Degrees of Freedom = Number of Groups-1 to evaluate the Degrees of Freedom, Degrees of Freedom in Chi-square Goodness of Fit Test formula is defined as the number of values in the final calculation of a statistic that are free to vary. It varies based on the specific statistical test or analysis being conducted in the chi-square goodness of fit test of given data sample. Degrees of Freedom is denoted by DF symbol.

How to evaluate Degrees of Freedom in Chi-square Goodness of Fit Test using this online evaluator? To use this online evaluator for Degrees of Freedom in Chi-square Goodness of Fit Test, enter Number of Groups (NGroups) and hit the calculate button.

FAQs on Degrees of Freedom in Chi-square Goodness of Fit Test

What is the formula to find Degrees of Freedom in Chi-square Goodness of Fit Test?
The formula of Degrees of Freedom in Chi-square Goodness of Fit Test is expressed as Degrees of Freedom = Number of Groups-1. Here is an example- 4 = 9-1.
How to calculate Degrees of Freedom in Chi-square Goodness of Fit Test?
With Number of Groups (NGroups) we can find Degrees of Freedom in Chi-square Goodness of Fit Test using the formula - Degrees of Freedom = Number of Groups-1.
What are the other ways to Calculate Degrees of Freedom?
Here are the different ways to Calculate Degrees of Freedom-
  • Degrees of Freedom=Size of Sample X+Size of Sample Y-2OpenImg
  • Degrees of Freedom=Sample Size-1OpenImg
  • Degrees of Freedom=Sample Size-2OpenImg
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