Introduction Flashcards

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1
Q

define statistics

A

describing event amthematically

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2
Q

define observation

A

entity to be measured

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3
Q

define measurement

A

act of assigning numbers of observations systematically

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4
Q

define datum and data

A

a single measurement and plural

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5
Q

define constant

A

observations that have uniform values

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6
Q

define varaible

A

observations that have non-uniform values

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7
Q

define quantitative variable

A

observation that can be counted; values reflect difference in degree, ex. reaction time

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8
Q

define qualitative varaible

A

observations that can be categorized; values reflect difference in kind, ex. gender

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9
Q

define discrete variable

A

observations take separated values only, no values exist between, ex. family members

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10
Q

define continuos variable

A

infinite numbers of values exist between any two observations; where the number of decimals determines precision, ex. weight

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11
Q

define real limits

A

boundaries of intervale for scores from a continuous variables located between two adjacent scores
upper: 150.5
real: 150
lower: 149.5

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12
Q

define nominal scale

A
  • grouping into categoires with equal attributes
  • numbers are arbitrary
  • qualitative and discrete
  • unique
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13
Q

define ordinal scale

A
  • observations are rank ordered
  • numbers can have more or less of some attribute (intervals between = irregular differences)
  • quantitative and discrete
    ex. social economic status (low, med, high)
  • unique and order
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14
Q

define interval scale

A
  • different magnitude of an attribute (equal distance between number = equal distance in attribute)
  • arbitrary zero
  • quantitative and continuos
  • ex. degrees celsuis
  • unique, order and equal intervals
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15
Q

define ratio scale

A
  • equal amount of attribute from absolute zero
  • true zero
  • quantitative and continuos
  • ex. degrees Kelvin
  • unique, order, equal intervals and true zero
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16
Q

what are the 4 properties of numbers?

A

unique, order, equal intervals (add/subtract) and true zero (multiply/divide)

17
Q

can you go from a ratio scale to ordinal and vice versa?

A

You can go from ratio to ordinal because you are going from high precision to low precision, but you cannot go the other way become you cant make something precise without it being precise to begin with.

18
Q

define description statistics

A

used to describe, summarise and simplify a set of observations
- central tendency: typical score
- variability: spread of score
- correlation: the relationship between variables

19
Q

define inferential statistics

A

used to infer characteristics about the population from a sample

20
Q

what is the difference between population and sample?

A

the population is the complete set of observations where the sample is a subset of observations taken to represent the population

21
Q

what is the difference between parameters and statistics?

A

the parameter describes the characteristics of the population using Greek letters, and statistics describes the corresponding characteristics of the sample using Roman letters

22
Q

define sampling error

A

discrepancy between sample statistics and its corresponding population parameter. it varies from sample to sample but there will always be error no matter what

23
Q

define commutative property of algebra

A

property of + and x, changing the order of terms does not change the sum or product

24
Q

define associative property of algebra

A

property of + and x, changing the grouping of terms doesn’t change the sum or product

25
Q

describe what Xij represents

A

Xij is the score for the iTH person on the jTH measure
- subscript i represents difference persons, ranges from 1 to n
- subscript j represents different observations, ranges from 1 to J