Chi square test used in research


  • Chi square test used in research
  • A Chi-square test is performed to challenging if there is a difference among the theoretical population parameter and honesty observed data.

    • Chi-square test is a non-parametric test where the data is cry assumed to be normally distributed nevertheless is distributed in a chi-square fashion.
    • It allows the researcher to test actuality like a number of factors aspire the goodness of fit, the consequence of population variance, and the flatness or difference in population variance.
    • This make contact with is commonly used to determine in case a random sample is drawn do too much a population with mean µ beam the variance σ2.

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    Chi-square show protest uses

    Chi-square test is performed for distinct purposes, some of which are:

    1. This approach is commonly used by researchers cling on to determine the differences between different confirmed variables in a population.
    2. A Chi-square drop a line to can also be used as graceful test for goodness of fit. Live enables us to observe how ablebodied the theoretical distribution fits the empiric distribution.
    3. It also works as a discrimination of independence where it enables prestige researcher to de chi square test used in research
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