By David M Diez, Christopher D Barr, Mine Çetinkaya-Rundel
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Sample text
We call the distance of an observation from its mean its deviation. Below are the deviations for the 1st , 2nd , 3rd , and 50th observations in the num char variable. For computational convenience, the number of characters is listed in the thousands and rounded to the first decimal. 6 .. 2 30 There might be two height groups visible in the data set: one of the students and one of the adults. That is, the data are probably bimodal. 6. 24: In the num char data, 41 of the 50 emails (82%) are within 1 standard deviation of the mean, and 47 of the 50 emails (94%) are within 2 standard deviations.
While the proportions would probably be close to each other, it would be unusual for them to be exactly the same. We would probably observe a small di↵erence due to chance. ” The participants in this study are 48 male bank supervisors attending a management institute at the University of North Carolina in 1972. They were asked to assume the role of the personnel director of a bank and were given a personnel file to judge whether the person should be promoted to a branch manager position. The files given to the participants were identical, except that half of them indicated the candidate was male and the other half indicated the candidate was female.
B) Intensity map of poverty rate (percent). 6. 32: (a) Intensity map of homeownership rate (percent). (b) Intensity map of median household income ($1000s). 42 CHAPTER 1. 37 What interesting features are evident in the fed spend and poverty intensity maps? The federal spending intensity map shows substantial spending in the Dakotas and along the central-to-western part of the Canadian border, which may be related to the oil boom in this region. There are several other patches of federal spending, such as a vertical strip in eastern Utah and Arizona and the area where Colorado, Nebraska, and Kansas meet.