1.1
1 Statistics is the science of collecting and working with data/information to make conclusions or answer questions. It helps to interpret information observed under uncertainty.
3 individual
5 statistic
7 parameter
9 statistic
11 parameter
13 statistic
15 qualitative/categorical
17 quantitative
19 quantitative
21 qualitative/categorical
23 descrete
25 continuous
27 continuous
29 descrete
39 population: US teenagers aged 13-17 sample: 1028 US teens aged 13-17
40 population: all coca cola bottles filled on October 15 sample: 50 bottles processed on October 15th
41 population: all soybean crop sample: 100 soybean plants
42 population: all US households sample: 50,000 US households
43 population: women aged 27-44 with hypertension sample: 7373 women aged 27-44 with hypertension
1.2
9 observational
10 experiment
11 experiment
12 observational
13 observational
14 observational
17
cohort study - they continue to check on their individuals without giving a specific time-frame
response: heart disease explanatory: happiness/daily hassle
what the researchers are suggesting is that there could be a lurking variable that is influencing both the response variable AND the explanatory variable.
20
this is an observational study because researchers aren’t interfering with the participants lives or ways of being, but just watching. It is cross-sectional due to its definitive time-frame.
response variable: weight gain explanatory variable: relationship status
lurking variables: dietary habits, exercise habits, metobolic health and speed.
due to the amount and varying types of lurking variables, and the size of the sample vs. the sie of the population, you cannot fairly and safely conclude the relationship between weight gain and relationship status.