Question

Which is not true about the degrees of freedom (df) of a chi-square distribution?

Answer 1

Option (A): "As the degrees of freedom increases the shape of the Chi-Square Distribution becomes more skewed" is a false statement.

What is Chi-Square Distribution?

• The Chi-Square Distribution is a type of probability distribution that is skewed rightward.
• The Chi-Square Distribution is used for both the confidence interval and hypothesis testing. The confidence interval is used mainly for variances and the hypothesis testing is used for the goodness of fit test and the test of independence.

Now, amongst the considered options, "As the degrees of freedom increases the shape of the Chi-Square Distribution becomes more skewed." (Option A) is not true, because:

As the degrees of freedom increases, the shape of the Chi-Square Distribution approaches a normal distribution and the graph of the Chi-Square Distribution looks more symmetrical.

To learn more about Chi-Square Distribution, refer to the link: brainly.com/question/4543358

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