1.1
1 Statistics: is a numerical summary of data. In addition, statistics is about providing a measure of confidence in any conclusions.
2 Population is a huge large number of indiviguals example: students at boston university, whereas, a sample is a subset of population example students in elementary stats class at boston university.
3 Individual
4 Descriptive, inferential
5 Statistic,Parameter
6 Variables
7 Parameter
8 Statistic
9 Statistic
10 Statistic
11 Parameter
12 Parameter
13 Statistic
14 Statistic
15 Qualitative
16 Quantitative
17 Quantitative
18 Qualitative
19 Qualitative
20 Quantitative
21 Qualitative
22 Qualitative
23 Discrete
24 Continuous
25 Continuous
26 Discrete
27 Continuous
28 Continuous
29 Discrete
39 Population: the total population of teenagers age 13-17 years, Sample:1028 teenagers contacted by the organization
40 Population:total bottles filled on october 15th, Sample: 50 bottles filled on october 15th
41 Population: soybean crop, Sample: random samples of 100 plants
42 Population: total population os U.S, Sample: Survey of 50,000 households
43 Population:Women(27-44 years of age), Sample:7373 cases they look at
1.2
9 Observational
10 Observational
11 Experiment
12 Observational
13 Observational
14 observational
17 a) Cohort
the response variable: whether or not they have a heart disease, the explantory variable is the level of hapiness.
lurking variable is an explantory variable that was not considered in the study, but affects the value of response variable thus, genetics in this study is the lurking variable
20 a) This is an observational study because theyre just measuring the response variable without attempting to influence either response or explantory variable; cohort study
response variable: young couples who marry or cohabitate more likely to gain weight than those who stay single; explanatory variable is their level of romantic life( being married, or cohabiting).
insecurity levels coming down,intake of food, commitment to a fitter body, once they found someone to settle down with they stopped caring?.
Yes, we can conclude that getting married or cohabiting casues one to gain weight because they stop caring about how their body appears, since theyve found that someone to settle down with; which leads to their insecurity levels about how they look come down.