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

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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 140, 101, 43, 76, and 140, usint table A. Then compute the expected number for each interval for a sample of 500. Finally, preform the goodness-of-fit test and summarize your results 

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