FAQs of Critical Value
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Frequently Asked Questions

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A critical value is a point on the t-distribution that is compared the test statistic hypothesis in hypothesis testing.

FAQs
What is the significance level, and how is it used in hypothesis testing?
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The significance level is a pre-determined threshold that is used to determine whether the P value is statistically significant or not. The most commonly used significance level is 0.05, which means that there is a 5% chance that the observed result occurred by chance.

What is a P value, and what does it measure?
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A P value is a probability that measures the level of significance of an observed result. It measures the likelihood of obtaining a result as extreme as the one observed, assuming that the null hypothesis is true.

What is the differnce between Chi-square and T-test?
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   Chi-square

   T-test

    For Two Independent Variables

    For one independent variable

    Check the difference between the two

    Groups

    It also checks the difference between

    the two groups

    Formula:

              Chi square formula

    Formula:

                T test formula

 

What are the Null hypothesis and alternate hypothesis?
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A null hypothesis (H0) shows there is no significant difference between the two parameters in growth, weight, and any other effect. On the other hand, the alternate hypothesis (H1) shows the significant difference between the two parameters in growth, weight, and any other effect.