WITH SOLVED QUESTIONS GRADED A+
◉ Research Examples . Answer: Does caffeine improve memory?
Is Olympic Performance realted to a country's GDP?
Say an example now ___
◉ Anecdotal Evidence . Answer: Informal Observation:
It's a single story that is not representative of the population of interest
◉ Research Questions . Answer: How is an outcome of interest related
to an entire population?
How does xbar determine mu?
◉ Examples of Broad and Focused Research Questions . Answer:
Broad:
Are violent crimes related to violent video games?
Focused:
Does the rate of criminals who play violent video games differ from the
rate of non-criminals who play violent video games?
,Give me an example of each now ____
◉ Focused Research Question . Answer: Identify
Two groups of interest
The response of interest
*Foreshadowing: a hypothesis of significance tests
◉ Population . Answer: A greater selection of people's that compromis
an entire set of interested subjects
mu = mean
You can't always use population as data because a census can be difficult
to obtain, for it is expensive, time consuming, complex, non-dymanic
(like a pop. is), and it's difficult to locate individuals.
◉ Sample . Answer: A subcategroy of population that you collect data
on to represent the greater majority
◉ ~Clicker Question~ . Answer: Sixteen, 10 month old infants....
helper/hinderer
,sample =
population =
◉ Descriptive Statistics . Answer: Describe the characteristics of your
sample data to make an inference about the population of interest.
Summarize collective mathematical averages and percentages
Highlights, collects, and summarizes info
ex) mean/median/mode, range, sd
◉ Inferential Statistics . Answer: Draw conclusion about population
based on a sample of the population
Infering about the greater population
Ex) 2 sample t test, ANOVA, Chi Sq, Correlation
◉ ~Clicker Question~ . Answer: Researches find that 14 out fo 16
(87.5%) of infants prefer the helper toy and conclude that 63-98% of
infants in general would select the help toy.
- Which is a descriptive statistic and which is an inferential statistic?
, ◉ Summary! . Answer: * Sample data are an imperfect approximation
of the population data
* Desriptive data doesn't exaclty predict what is in the population
* Statistical inference is about describing what you think is in the
population
* In order to describe a population (or predict even), we need to
understand variation within the data.
◉ Variables . Answer: Any characteristic observed in a study
◉ Quantitative Variable . Answer: Obervations take on numeric values
◉ Discrete Quantitative Variable . Answer: Takes on a finite number of
possible values
ex) I cannot be 18.24 years old
Continuous it as a continuum of infinetly possible values
ex) track times (6.24, 5.68)
◉ Categorical Variables . Answer: Each observation belongs to one of a
set of categories. Contain descriptive words or phrases
◉ Types of Categorical Variables . Answer: Dichotomous - one or the
other