How do measures of central tendency and variation complement each other when describing data?
What will be an ideal response?
The two types of measures work together to give us a full picture of the characteristics of the data. Measures of central tendency provide a clear picture of the typical case in the data—the middle of the distribution on a frequency distribution. They do not tell us anything about the shape of the rest of the distribution. Measures of dispersion tell us about the shape of the rest of the distribution—how the data are distributed around the typical case. Without one or the other we would not have a complete picture.
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Which of the following descriptions best depicts a federal system of government?
A) The central government maintains all the power. B) The first-order subdivisions maintain all the power. C) Federal systems exist where there are no governments. D) Federal systems have divided power between a central government and first-order governments.
Following independence, the two main goals of American leaders were
a. nation building and territorial expansion. b. acquiring foreign colonies and nation building. c. containment of communism and the spread of liberalism. d. democracy promotion and multilateral institution building.