Statistics Flashcards

(48 cards)

1
Q

statistics

A

science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions

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2
Q

data

A

information that is collected

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3
Q

population

A

the entire group of objects being studied

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4
Q

individual

A

a single member of the population

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5
Q

sample

A

a subgroup of a population on which data is actually collected

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6
Q

a statistic

A

a numerical summary of a sample

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7
Q

parameter

A

a numerical summary of a population

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8
Q

inferential statistics

A

statistics that are being used as a parameter

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9
Q

The process of statistics

A

1) identify the research objective
2) collect the necessary data
3) describe the data
4) perform inference

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10
Q

variable

A

characteristics of individuals that have different possibilities

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11
Q

Qualitative Variable

A

non numerical traits of an individual

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12
Q

Quantitative Variable

A

numerical variable

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13
Q

Observational Study

A

researcher does not control any of the variables being studies

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14
Q

Designed Experiments

A

Researcher controls a variable on an individual basis

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15
Q

Confounding

A

occurs when the effects of multiple variables are not separated

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16
Q

lurking variable

A

variable that has an impact on the goal of a study but is not considered

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17
Q

Observational: Cross-sectional

A

when data is collected over a short window of time; at a moment

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18
Q

Observational: case-control

A

survey about the past, then use the data to split the sample into groups, then another survey is given

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19
Q

Observational: cohort

A

First choose the sample, then observe over a period of time before collecting data

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20
Q

census

A

list of individuals in a population along with data about certain characteristics of each individuals

21
Q

random sampling

A

the process of using chance to create a sample

22
Q

frame

A

a list of all individuals in a population with no info

23
Q

simple random sampling

A

is random sampling where every possible sample of a chosen size has an equal chance of occuring

24
Q

stratisfied sampling

A

separate population into non overlapping groups called strata, take a simple random sample from each strata, then use the individuals from each group to create sample

25
cluster
break population into groups called clusters, use simple random sampling to select clusters and study all individuals in the selected clusters
26
systematic sampling
put the population in order, the choose the kth individual
27
convenience sampling
self-selected
28
bias
sample whose results do not represent the entire population
29
sampling bias
when technique is used to create the sample naturally results in bias ex: unrepresented
30
non-response bias
occurs when individuals who choose not to respond have different opinions than those who do respond
31
response bias
occurs when answers given do not accurately represent the individuals
32
causes of response bias
misrepresented answers: lied/don't remember interviewer error: how they portray themselves/ask question wording of question: positive/negative connotation ordering of question: answer untruthfully bc of hypocrisy
33
frequency distribution table
provides all possible values of a variable and how many times that value occured
34
frequency
occurrences
35
relative frequency distribution
a table including all values of a variable and their relative frequencies
36
bar graphs
put each category of data value on one axis and frequency on other SPACES LEFT
37
Pareto chart
bar graph where the bars are put in descending order
38
side by side bar graph
bar graph where multiple studies are represented by their own colors
39
pie chart
circle broken into sectors which represent a percent of the area corresponding to relative frequencies of variable values
40
histograms
bar charts where rectangles have the same widths TOUCH
41
lower class limit
smallest value in class
42
upper class limit
largest value in class
43
tables for continuous variables
create classes which are intervals of values
44
class width
``` difference between consecutive lower class limits goals: needs to be large enough to have groups with significant freq and small enough to avoid all data to be in 1/2 groups ```
45
stem and leaf plot
for any number the leaf is the right most digit and stem is the number leftover if you erase the leaf
46
dot plots
place dots above each category for each piece of data
47
shape: uniform
every category has the same frequency
48
shape: bell shaped
one highest "peak" frequency in the middle of the data and freq gets smaller as you get further from the peak