1.1

1 Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions. In addition, statistics is about providing a measure of confidence in any conclusions..

2 type answer here.

3 An (individual) is a person or object that is a member of the population being studied…

4 type answer here.

5 Statistic; Parameter.

6 type answer here.

7 Parameter.

8 type answer here.

9 Statistic.

10 type answer here.

11 Parameter.

12 type answer here.

13 Statistic.

14 type answer here.

15 Qualitative.

16 type answer here.

17 Quantitative.

18 type answer here.

19 Quantitative.

20 type answer here.

21 Qualitative.

22 type answer here.

23 Discrete.

24 type answer here.

25 Continuous.

26 type answer here.

27 Continuous.

28 type answer here.

29 Discrete.

39 Population: teenagers 13 to 17 years of age who live in the United States. Sample: 1028 teenagers 13 to 17 years of age who live in the United Sates.

40 Population: Coca Cola bottles that were filled on October 15. Sample: 50 bottles of Coca Cola that were filled on October 15..

41 Population: Entire soybean crop. Sample: 100 plants selected. .

42 Population: Current population report of all households within the U.S. Sample: Current population report based on a survey of 50,000 households in the U.S.

43 Population: Women 27 to 44 years of age with hypertension. Sample: 7373 women 27-44 years of age with hypertension..

1.2

9 Observational Study.

10 Experimental Study.

11 Experimental Study.

12 Observational Study.

13 Observational Study.

14 Experimental Study.

17

  1. Cohort since people were followed for 10 years.

  2. Whether the individual has heart disease or not; whether the individual is happy or not.

  3. Confounding due to lurking variables.

20

  1. This is an observational study because it measures whether young couples who marry or cohabitate are more likely to gain weight than those who stay single without attempting to influence either response variable or explanatory variable; Cohort study.

  2. Response Variable: Gaining weight. Explanatory Variable: Being married or living with a romantic partner.

  3. Lurking Variables: age, health status…

  4. Yes, it could mean that getting married or cohabiting causes one to gain weight since the study showed results leading to that. However there are many other lurking variables to consider that may have falsely affected the study.