Goodness of fit to a standard Normal distribution. Computer software generated 500 random numbers that should look as if they are from the standard Normal distribution. They are categorized into five groups:
(1) less than or equal to -0.6;
(2) greater than -0.6 and less than or equal to -0.1;
(3) greater than -0.1 and less than or equal to 0.1;
(4) greater than 0.1 and less than or equal to 0.6; and
(5) greater than 0.6. The counts in the five groups are 139, 102, 41, 78, and 140, respectively.
Find the probabilities for these five intervals using Table A. Then compute the expected number for each interval for a sample of 500. Finally, perform the goodness-of-fit test and summarize your results.