1.1

1.) numerical summaries of data from a sample

3.) individual

5.) statistic, parameter

7.) parameter

9.) statistic

11.) parameter

13.) statistic

15.) Qualitative

17.) Quantitative

19.) Quantitative

21.) Qualitative

23.) Discrete

25.) Continuous

27.) Continuous

29.) Discrete

39.) population: all US teenagers between the ages of 13 and 17 sample: the 1028 teenagers between 13 and 17 who were contacted

40.) population: all Coca Cola bottles filled on October 15th sample: the randomly selected 50 bottles filled on October 15th

41.) population: the crop of soybeans from the farmer sample: the 100 samples of soybeans from the farmer’s crop

42.) Population: all households in the United States sample: 50,000 homes in the US that are surveyed

1.2

13.) observational study

14.) observational study

15.) experiment

16.) observational study

17.)

    a) a cohort study because it was a large amount of time that the people undergo during the study with periodic check ins
    
    b) response: the individual experiencing, or not experiencing heart disease
    explanatory: whether the individuals were happy or not
    
    c) This introduces a confounding variable because now there are two explanatory variables that could both be affecting the response variable.