Option (A): "As the degrees of freedom increases the shape of the Chi-Square Distribution becomes more skewed" is a false statement.
<h3>What is Chi-Square Distribution?</h3>
- 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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Answer:
lets divide the figure into two parts.
triangle base=2ft+2ft+6ft
triangle base=10ft
area of triangle = 1/2×base×height
area of triangle = 1/2×10ft×12ft
area of triangle =60ft²
area of square=side²
area of square=(6ft)²
area of square=36ft²
The answer is for the vertex is (7,1)
Answer:
Where is the graph? pls show graph so we can answer :)
Answer:
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