Two 1. types of categorical variables are types of program they watch and language of program they watch. Two types quantitative variables is the number of hours they watch and the GPA of the students. 2. Refer to. 3. Refer to. 4. (a) Refer to. The main feature of the data is to show movie attendance rate of each set of age groups (b) No it wouldn't be correct to make a pie chart because (c) It's not possible because this set of data does not show the age group for 18 to 24 years ratio compared to total audience. It only tells you that 83% of people aged 18 to 24 attended a movie in the past 12 months. 5. (a) Knowing the number of doctors in a state is pointless unless you also know the amount of population in that state. What we want to know is the ratio of number of doctors when compared to the population of the state. For example health care would be better in a state that has 500 doctors per 100,000 people compared to another state with 200 doctors per 100,000 people, the however state with 200 doctors per 100,000 people might have 10,000 doctors in total. Even so, it would be safe to say that the state with 500 doctors per 100,000 people probably has better healthcare. Finally, large numbers are hard to handle and the amount of doctors in a given state is simply too large, therefore we simplify it so it's easier to read and understand. (b) Refer to. 6. Refer to. 7. ? 8. Refer to. 9. (a) Because the height is 1 and it's taken place in an interval from 0 to 1 (b) 0.2 (c) 0.6 (d) 0.5 10. (680-518)/114 = 1.421 is Eleanor's standardized SAT score (27-20.7)/5.0 = 1.26 is Gerald's standardized ACT Eleanor has the higher score 11. (70-100)/15 = -2 100% - 95% = 5%
5%/2 = 2.5% of adults are retarded 12. (1287-1026)/209 = 1.248 is standardized score 1.248 x 4.8 = 5.99 5.99 + 20.9 = 26.89 Jose must score 26.89 in ACT to get equivalent mark as SAT 13. 0.4 x 209 = 83.6 83.6 + 1026 = 1109.6 Scores above 1109.6 makes up top 10% of all scores