1.1

1.) Statistics: a numerical summary of a sample

3.) subject

5.) statistic, parameter

7.) parameter

9.) statistic

11.) statistic

13.) parameter

15.) qualitative

17.) quantitative

19.) quantitative

21.) quantitative

23.) quantitative

25.) quantitative

27.) quantitative

29.) quantitative

39.) population: all teenagers 13-17 y.o. in the US; sample: 1028 teenagers

40.) population: all bottle of Coca-Cola; sample: 50 bottles filled on Oct. 15th

41.) population: entire soy bean crop; sample: 100 soy bean plants

42.) population: all U.S. households; sample: 50,000 U.S. households

1.2

13.) experiment

14.) experiment

15.) experiment

16.) observational

17.)

    a)longitudinal study
    
    b)response: heart disease; explanatory: happiness
    
    c)this means that there is not necessarily causation if there is a correlation, but possibly a confounding variable