Psychology 202 - Test 1 Flashcards

1
Q

data

A

information

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2
Q

statistics

A

branch of mathematics focused on organization, analysis, and interpretation of a group of numbers

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3
Q

descriptive statistics

A

used to describe a group of numbers from a study

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4
Q

inferential

A

used to draw conclusions from collected data

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5
Q

variable

A

characteristic of something or someone that can have different vaules
i.e. people, [usually] mind

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6
Q

constant

A

if the characteristic does not/can not vary

- dependent on perspective

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7
Q

values

A

numbr or category

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8
Q

score

A

particular value on a variable

- tells how much there is of what is being measured

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9
Q

equal-interval variable

A

a variable in which the numbers stand for approximately equal amounts of what is being measured
i.e. in stress rating, difference between 4 & 6 is the same as the difference between 7 & 9

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10
Q

ratio scale

A

used if the equal-interval variable has an absolute zero point
i.e. number of siblings > zero means something and is important

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11
Q

absolute zero point

A

value of zero on the variable indicates complete absence of the variable
i.e. number of siblings > zero = no siblings

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12
Q

rank order variable

A

a variable where numbers stand ONLY for the relative ranking

  • ordinal variables
  • provides less info/less accurate than equal-interval but sometimes easier/only info available
    i. e. olympics (1,2,3) but 1 & 2 can be close while three was far behind them
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13
Q

nominal variable

A

variable in which the values differ as names or categories

i. e. favorite sports team
* can go from nominal to numeric but not the other way around

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14
Q

discrete variable

A

specific values and nothing in between

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15
Q

continuous variable

A

has infinite number of values in between any two values

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16
Q

population

A

the entire group of people that is studied

- can range from small to the entire world depending on the question

17
Q

sample

A

a subset of the population

  • small/more manageable group to study
  • (hopefully) identical to population > generalizability
18
Q

frequency table

A

table that lists all values that are possible along with the number of cases that have that value

19
Q

relative frequency table

A

tells frequency AND frequency relative to other scores

- divide number of cases in each value by total number of cases

20
Q

histogram

A

graphic representatio of frequency of scores

  • x = possible values
  • y = number of cases
21
Q

number of peaks (histogram)

A

1 peak = unimodal
2 peaks = bimodal
3+ peaks = multimodal

22
Q

symmetrical distributions

A

roughly equal scores on both sides of the peak

23
Q

skewed distributions

A

unequal scores on each side of the peak

  • positively skewed > more scores on left side
  • negatively skewed > more scores on the right side
24
Q

normal curve

A

symmetrical, bell shaped curve that has changes in curve direction at exactly 1 standard deviation above and 1 standard deviation below the mean

  • theoretical distribution
  • mode, median, and mean are all exactly the same number
  • Middle point = average point = most frequent point
  • more scores you have = closer you get to normal distribution
  • assume data would look like normal curve if we had enough
  • 68.2% = 1 SD
  • 95.4% = 2 SD
  • 99.7% = 3 SD
25
Q

platykurtic

A

most values have roughly the same frequency

- upside down plate

26
Q

leptokurtic

A

very few values have a high frequency

- tower

27
Q

measure of central tendency

A

single number that we use to describe a distribution of scores
- representative of all scores

28
Q

mean

A

mathematical average of a group of scores

  • μ = population, M = sample
  • mean = Σx/N
  • most stable measure of central tendency
  • takes all scores into account
  • can be value no one got
  • incredibly sensative to outliers
29
Q

mode

A

most frequent score in a distribution

  • only measure that can be used with nominal data
  • says nothing about other scores
  • doesn’t tell the placement of the score
30
Q

median

A

score in the middle of a distribution

  • scores in order from smallest to largest and find middle score
  • can be the same as mode
  • can be score no one has/received
  • does not mean there is equality in the range
31
Q

variability

A

the amount of variation in a distribution of scores

32
Q

range

A

the difference between the highest and lowest score

  • very unstable
  • no additional stats calculated
33
Q

variance

A

measure of variability that considers how different each score in a distribution is from the mean

  • extremely important in stats
  • population = δ
  • sample = SD
  • variance = Σ(x - M)²/N
  • SS = Σ(x - μ)²
34
Q

standard deviation

A

the average amount that a set of scores differ from one another (how much scores vary)

  • population =
  • sample = SD
  • standard deviation = √Σ(x - μ)²/N
35
Q

z-score

A

number of standard deviations above or below the mean an actual score is

  • standardizes scores
  • z = (x - M)/SD
36
Q

z-scores > percent to value

A
  • go to closest percent
  • find percent and look at corresponding z-score
  • invert z-score equation