exam 1 Flashcards
Range
The difference between the lowest and highest
- provide rough estimate of variation
- if have couple of extreme scores, will create a false large range / variation
- better method: standard deviation
Skewed Distributions
Happens due to few extreme data points
- this is why if the mean is reported, the report can be inaccurate
ex) Income data – billionaires skew the data
Scatterplots
A graphed cluster of dots – good for showing correlation between two variables
- slope represents the relationship between two variables
- amount of scatter shows strength of correlation
- perfect positive correlation, no relationship, perfect negative correlation
Bar charts
- compare categories
- show variation in subgroups
Histograms
- shows distribution of numeric values of variables
- shows frequency of variables
Mean
Arithmetic average; total sum / number of scores
Median
Midpoint; 50th percentile
Mode
Most frequently occurring score or scores
Standard Deviation
A computed measure of how much scores vary around the mean score
- useful standard for measuring how much scores deviate from one another
- can know if data packed together or dispersed
Normal curve
Bell shaped distribution
- most cases fall near mean, fewer in either extreme
- 68 percent fall within one standard deviation
- 95 percent fall in two standard deviations
- 97.5 = 3 standard deviation
Regression to the mean
Tendency for extreme or unusual scores or events to fall back toward the average
- since unusual scores can be a combination of different factors, if tested again, the score will likely be more regular
- can lead to illusionary correlation ( ex. after a poor performance, coach will think the scolding actually worked when the team preforms okay again in the next game)
Statistical significance
Statistical statement of how likely it is that result occurred by chance, assuming there is no difference between the populations being studied (doesn’t mean it’s a big effect though)
- difference is statistically significant: If sample’s difference reflects a true population difference
- multiple observations have low variability = statistically significant
- p-value: number describing how likely it is that your data would have occurred by random chance
Sample size
Large sample size minimize chance of extreme outcomes
Representativeness of sample
Random and representative samples; not just from exceptional and memorable cases
- research rarely randomly samples whole population ; hard to do
Empirical approach
Evidence-based method that draws on observation and experimentation
- Not introspection
- requires scientific attitude
- James Randi
- Hume
Descartes
Dualism
Believes physical body was container for non physical (the mind)
Hard problem of consciousness
Scientific Attitude
curiosity: can prediction be confirmed
skepticism: sift reality from fantasy
humility : be willing to be surprised by new ideas
Critical thinking
examine assumptions, appraise source, discerns hidden biases, evaluates evidence, assesses conclusions
Nagel
What is it like to be a bat?
Hobbes
Materialism
- everything is a mechanical system
- the mind is what the brain does
Structuralism
Used introspection to reveal the structure of the human mind
Wundt
- structuralist
- created first psychology experiment / lab (reaction time)
- wanted to measure “atoms of the mind”
- used analytic introspection to try to find building blocks of the mind
- experience is combination of sensations
James
- functionalist
- influenced by Darwin’s theory of evolution
- adaptive processes
- studied emotions, memories, willpower, habits, stream of consciousness
Functionalism
Exploration of how mental and behavioral processes function – how they enable the organism to adapt, survive, and flourish