Statistics Flashcards

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
Q

cluster

A

break population into groups called clusters, use simple random sampling to select clusters and study all individuals in the selected clusters

26
Q

systematic sampling

A

put the population in order, the choose the kth individual

27
Q

convenience sampling

A

self-selected

28
Q

bias

A

sample whose results do not represent the entire population

29
Q

sampling bias

A

when technique is used to create the sample naturally results in bias ex: unrepresented

30
Q

non-response bias

A

occurs when individuals who choose not to respond have different opinions than those who do respond

31
Q

response bias

A

occurs when answers given do not accurately represent the individuals

32
Q

causes of response bias

A

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
Q

frequency distribution table

A

provides all possible values of a variable and how many times that value occured

34
Q

frequency

A

occurrences

35
Q

relative frequency distribution

A

a table including all values of a variable and their relative frequencies

36
Q

bar graphs

A

put each category of data value on one axis and frequency on other SPACES LEFT

37
Q

Pareto chart

A

bar graph where the bars are put in descending order

38
Q

side by side bar graph

A

bar graph where multiple studies are represented by their own colors

39
Q

pie chart

A

circle broken into sectors which represent a percent of the area corresponding to relative frequencies of variable values

40
Q

histograms

A

bar charts where rectangles have the same widths TOUCH

41
Q

lower class limit

A

smallest value in class

42
Q

upper class limit

A

largest value in class

43
Q

tables for continuous variables

A

create classes which are intervals of values

44
Q

class width

A
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
Q

stem and leaf plot

A

for any number the leaf is the right most digit and stem is the number leftover if you erase the leaf

46
Q

dot plots

A

place dots above each category for each piece of data

47
Q

shape: uniform

A

every category has the same frequency

48
Q

shape: bell shaped

A

one highest “peak” frequency in the middle of the data and freq gets smaller as you get further from the peak