1. The X2 goodness-of-fit test cannot show that your data fits the hypothesized distribution. What can it show?2. In Problem 6.2.23 we reported a study by the sociologist Phillip R. Kunz who found that only 8% of a sample of 747 persons had died in the three months prior to their birthday. In fact, his data was more complete than that; he also found that 46% died within three months after their birthday and 31% within the next three months. Now what do you think?Problem 6.2.23:On March 6, 1978, Newsweek reported on a study by Brigham Young University sociologist Philip R. Kunz. He found that for a random sample of 747 persons whose obituaries were published in one year in Salt Lake City, only eight percent had died in the three months prior to their birthdays. From this we can see that dying people succeed in holding out until after their birthday before giving up the ghost. (a) Carry out an appropriate test of significance for this data to see if the claim seems believable. (b) In what ways would this seem to be more appropriate as a test of significance than as an hypothesis test?
1. The X 2 goodness-of-fit test cannot show that your data fits the hypothesized distribution….
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