1.1

1 The science of collecting, organizing, summarizing and analyzing information to draw conclusions.

3 Individual

5 Statistic, parameter

7 Parameter

9 Statistic

11 Parameter

13 Parameter

15 Qualitative

17 Quantitative

19 Quantitative

21 Qualitative

23 Discrete

25 Continuous

27 Continuous

29 Discrete

39 Population: Teenagers 13-17 who live in U.S. Sample: 1028 teenagers who live in U.S.

40 Population: Bottles of Coca- Cola filled on October 15. Sample: The random 50 bottles selected.

41 Population: entire soy bean crop. Sample: 100 plants.

42 Population: Households. Sample: 50,000 households.

43 Population: women 27 to 44 years of age. Sample: 7373 cases of hypertension in women 27 to 44 years of age.

1.2

9 Observational

10 Experiment

11 Experiment

12 Observational

13 Observational

14 Experiment

17

  1. Observational

  2. Response variable is heart disease– Happiness is affecting heart disease, disease being the response.

  3. Genetics can be a confounding variable. Genetics can cause a perosn more likely to express certain emotions and more prone to getting heart disease. Because this is not the explanatory variable, but can effect the response variable, it can counfound the study– interfering with results but not the variable being studied.

20

  1. This is an observational study because researchers are not interfering with particpants behavior. It is a cohort study becauase it is over a long period of time.

  2. The response variable is weight gain. The explanatory variable is marriage or living with a romantic partner.

  3. Lurking variables could include happiness, mental illness, time available to exercize, and diet.

  4. Observational studies to not determine causation. Because of lurking variables, it is impossible to state their is a cause.