Sir R. A. Fisher, a famous statistician, showed that the critical values of a chi-square distribution can be approximated by the standard normal distribution
chi Subscript k Superscript 2 Baseline equals StartFraction left parenthesis z Subscript k Baseline plus StartRoot 2 v minus 1 EndRoot right parenthesis squared Over 2 EndFraction
where v is the degrees of freedom and z Subscript k is the z-score such that the area under the standard normal curve to the right of z Subscript k is k. Use Fisher's approximation to find chi Subscript 0.99 Superscript 2 and chi Subscript 0.01 Superscript 2 with 90 degrees of freedom. Compare the results with those found in the table of the chi-square distribution.
Click here to view the standard normal distribution table.LOADING...
Click here to view the chi-square distribution table.LOADING...
Question content area bottom
Part 1
In Fisher's approximation the value of chi Subscript 0.99 Superscript 2 is
enter your response here. (Type an integer or a decimal.)
Mathbot Says...
I wasn't able to parse your question, but the HE.NET team is hard at work making me smarter.