Exam 1 Flashcards

1
Q

define what statistics is

A

procedures used for analyzing and interpreting data.
can also refer to the outcomes of the procedures

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2
Q

what are the two main subcomponents of statistics?

A

descriptive
inferential

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3
Q

describe what descriptive statistics is

A
  • procedures used for organizing and summarizing data
  • important characteristics, details
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4
Q

describe what inferential statistics is

A

procedures used for making a judgement/guess/decision about the characteristics of the population based on characteristics of the sample

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5
Q

is “population” known or unknown

A

the unknown

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6
Q

is “sample” known or unknown

A

the known

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7
Q

what is a parameter

A

measurement obtained from a population
denoted by Greek alphabet symbols

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8
Q

what is a statistic

A

measurement obtained from a sample
denoted by English letters

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9
Q

what is a representative sample

A

sample that accurately reflects the characteristics of the population

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10
Q

what is a random sample

A

every member of population has an equal chance of being selected into the sample

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11
Q

define “data”

A

refers to the collection of numbers or other pieces of information to which meaning has been attached

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12
Q

what is measurement data

A

obtained by measuring the objects events, etc.

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13
Q

what is categorical data

A

frequency data, count data… how often something occurs

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14
Q

what are the 4 subsets of categorical data referred to?

A

scales of measurement
(nominal scale, ordinal scale, interval scale, ratio scale)

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15
Q

define scales of measurement

A

the set of possible numbers that may be obtained through measurement process

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16
Q

what is nominal scale

A

place items into categories
ex. gender, political affiliation, academic major

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17
Q

what is ordinal scale

A

simplest true scale, order items along a continuum, order of magnitude
**don’t know how much more or less
ex. Fresh, Jr, Soph, Sr… small, med, large, XL

18
Q

what is interval scale

A
  • each score indicates an actual amount
  • equal unit of measurement separating each score
  • you can have a score of zero, but it is NOT an absolute zero… therefore it allows for negative numbers
  • ex. Farenhiet scale
19
Q

what is ratio scale

A
  • each score indicates an actual amount
  • equal unit of measurement separating each score
  • a score of zero is an absolute zero. NO NEGATIVES
  • ex. num er of calories consumed, number of pets
20
Q

define variable

A

anything that can take on more than one specific value

21
Q

what are discrete variables

A

variable that results in a whole number

22
Q

what are dichotomous variables

A

a subset of discrete variables, these result in 2 amounts or 2 categories.
ex. yes/no, true/false

23
Q

what are continuous variables

A

variable that allows for fractional or decimal amounts

24
Q

what is an independent variable

A
  • the variable manipulated by the experimenter
  • the variable thought to influence the dependent variable
25
what is a dependent variable
- the variable that is being measured
26
in experimental design, what are the three main groups
- experimental group - control group - random assignment
27
what is the experimental group
group that receives 1 version of the independent variable
28
what is the control group
treated just like an experimental group, but receive 0 amount of the independent variable
29
what is the random assignment
everyone has an equal chance of being in either experimental group or control group
30
list the 7 critical components to a good news report of statistical studies
1. source of research and funding 2. researchers who had contact with participants 3. individuals or objects studied & how they were selected 4. exact nature of the measurements made or questions asked 5. setting in which the measurements were taken 6. extraneous differences between groups being compared 7. magnitude of any claimed effects or differences
31
define a random sample
a sample chosen from a larger set, chosen randomly and entirely by chance. each individual has the same probability of being chosen for the sample as any other
32
define stratified random sample
divide the population into groups (strata) and then take a random sample from each group
33
define cluster sample
divide population into groups (clusters). select a random sample of clusters, and measure *each member* of selected clusters
34
define systematic sampling
divide list into as many consecutive segments as you need, randomly choose a starting point in the first segment, then sample at that same point in each segment
35
list the problems in sampling
- using the wrong sampling frame - not reaching the individuals selected - getting only a volunteer response
36
list the aspects of an experimental study
- researcher manipulated one of the variables & tries to determine how the manipulation influences other variables - researcher creates a difference in Independent Variable, and sees if the Dependent Variable was affected
37
what are the advantages of an experimental study
more control, cause-effect relationship
38
what are the disadvantages of an experimental study
unnatural behavior, Hawthorne effect, experimenter effects
39
list the aspects of an observational study
- researcher observes what is happening, or what has happened in the past, and tries to draw conclusions based on these observations
40
what are the advantages of an observational study
usually occurs naturally, study variables that can't be manipulated
41
what are the disadvantages of an observational study
no cause-effect interpretations, expensive, time consuming