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*2.2. (The frequency distribution you will construct for this problem is a little different. The scores are names and thus nominal data.) A political science

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*2.2. (The frequency distribution you will construct for this problem is a little different. The "scores" are names and thus nominal data.) A political science student traveled on every street in a voting precinct on election day morning, recording the yard signs (by initial) for the five candidates. The five candidates were Attila (A), Bolivar (B), Gandhi (G), Lenin (L), and Mao (M). Construct an appropriate frequency distribution from her observations. (She hoped to find the relationship between yard signs and actual votes.) GAMMMGGL AGBA A G G BL MM AGG B G LMAALMGGMG LGA A B LG GA GA ML MG BAG LGMA *2.4. An experimenter read 60 related statements to a class. He then asked the students to indicate which of the next 20 statements were among the first 60. Due to the relationships among the concepts in the sentences, many seemed familiar but, in fact, none of the 20 had been read before. The following scores indicate the number (out of 20) that each student had "heard earlier." (See Bransford and Franks, 1971.) Arrange the scores into a simple frequency distribution. Based on this description and your frequency distribution, write a sentence of interpretation. 14 11 10 8 12 13 11 10 16 11 10 11 6 11 9 9 7 14 12 9 8 11 11 9 8 13 16 10 11 13 9 9 8 12 11 10 9 7 10 2.7. The average hourly workweek varies from country to country for industrial workers. In 2009 the most recent figures available were: Brazil, 43.9; Canada, 38.5; Finland, 37.7; India, 46.8; Japan, 38.7; Korea, 45.4; Mexico, 45.5; United Kingdom, 40.9; United States, 41.2. What kind of graph is appropriate for these data? Create a graph and execute it. 2.15. For each frequency distribution listed, tell whether it is positively skewed, negatively skewed, or approximately symmetrical (bell-shaped or rectangular). a. Age of all people alive today b. Age in months of all first-graders c. Number of children in families d. Wages in a large manufacturing plant e. Age at death of everyone who died last year f. Shoe size

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