Gem2901 Stats in Media summary
Table of Contents
Chap1: The Benefits and Risks of Using Statistics 2
Chap2: Reading the News 5
Chap3: Measurements, Mistakes, Misunderstandings 10
Chap4: How to Get A Good Sample 17
Chap5: Experiments & Observational Studies 22
Chap6: Getting the Big Picture 26
Chap7: Summarising & Displaying Measurement Data 28
Chap10: Relationships Between Measurements Variables 31
Chap11: Relationships Can Be Deceiving 32
Chap12: Relationships Between Categorical Variables 33
Chap14: Understanding Probability & Long Term Expectations 35
Chap16: Psychological Influences on Personal Probability 37
Chap17: When Intuition Differs From Relative Frequency (TB Chap18) 37
Chap1: The Benefits and Risks of Using Statistics
Statistics (Defi): collection of procedures and principles or gaining and analysing information in order to help people make decisions when faced with uncertainty
Sample: people who are actually studied.
Population: larger group where the sample was chosen from
Convenience sample: samples that are obtained conveniently and not representative of population cant extend the results obtained to whole population
Representative sample: Sample that is representative of population
Observational study: merely to observe things about our sample, can conclude a presence of relationship, cant conclude causal connections (because experiment can only do this) (cant say that one thing causes another)
Randomised experiment: randomised assignment of participants into one of the various treatment groups. All statistical experiments must be randomised.
Result variable: variable that the explanatory variables explain
Explanatory variable: variable that explains a particular result
Real treatment group: Real drugs are given and eaten
Placebo: dummy treatment, treatment without the active ingredient
Blinding: when the subjects did not know which group they assigned to
Double blinding: both surveyors and respondents don’t know which whether the respondents are assigned to which group
Chap1: The Benefits and Risks of Using Statistics 2
Chap2: Reading the News 5
Chap3: Measurements, Mistakes, Misunderstandings 10
Chap4: How to Get A Good Sample 17
Chap5: Experiments & Observational Studies 22
Chap6: Getting the Big Picture 26
Chap7: Summarising & Displaying Measurement Data 28
Chap10: Relationships Between Measurements Variables 31
Chap11: Relationships Can Be Deceiving 32
Chap12: Relationships Between Categorical Variables 33
Chap14: Understanding Probability & Long Term Expectations 35
Chap16: Psychological Influences on Personal Probability 37
Chap17: When Intuition Differs From Relative Frequency (TB Chap18) 37
Chap1: The Benefits and Risks of Using Statistics
Statistics (Defi): collection of procedures and principles or gaining and analysing information in order to help people make decisions when faced with uncertainty
Sample: people who are actually studied.
Population: larger group where the sample was chosen from
Convenience sample: samples that are obtained conveniently and not representative of population cant extend the results obtained to whole population
Representative sample: Sample that is representative of population
Observational study: merely to observe things about our sample, can conclude a presence of relationship, cant conclude causal connections (because experiment can only do this) (cant say that one thing causes another)
Randomised experiment: randomised assignment of participants into one of the various treatment groups. All statistical experiments must be randomised.
Result variable: variable that the explanatory variables explain
Explanatory variable: variable that explains a particular result
Real treatment group: Real drugs are given and eaten
Placebo: dummy treatment, treatment without the active ingredient
Blinding: when the subjects did not know which group they assigned to
Double blinding: both surveyors and respondents don’t know which whether the respondents are assigned to which group