Intro & Descriptive Stats Flashcards

1
Q

Data

A

the facts and figures collected, analyzed and summarized for presentation and interpretation

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2
Q

Data set

A

all the data collected in a study

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3
Q

elements

A

the entities on which data are collected

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4
Q

variable

A

characteristic of interest for the elements

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5
Q

observation

A

the specific data points collected for each element ; the set of measurements on the vars of interest

(obs are the rows in the data table)

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6
Q

Cross sectional data

A

various elements with measurements at a given point in time

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7
Q

time series data

A

given element with measurement repeated overtime

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8
Q

panel data

A

various elements with measurements repeated overtime (combo of cross sectional and time series)

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9
Q

nominal scale

A

the data for a var is either labels or names with no natural order of the values

used for categorical data

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10
Q

ordinal scale

A

data exhibits the properties of nominal data but the order/rank of the data is meaningful

used for categorical data

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11
Q

interval scale

A

exhibits properties of ordinal data, but the interval between 2 values is expressed in terms of a fixed unit of measure

used for quantitative data

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12
Q

ratio scale

A

exhibits properties of interval data but the ratio of the 2 values is meaningful

used for quantitative data

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13
Q

population

A

the set of all elements of interest in a study

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14
Q

sample

A

a subset of the population

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15
Q

statistical inference

A

using data from a sample to make estimates and test hypothesis about the pop of interest

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16
Q

frequency distribution

A

a tabular rep that gives the # of obs in each non overlapping class

17
Q

bar chart

A

graph with rectangle bars whose length is proportional to the values they represent

18
Q

pie chart

A

circular shaped graph divided into slices whose sizes are proportional to the values they represent

19
Q

cumulative frequency distribution

A

same as frequency distributions but we have to define the classes

20
Q

histogram

A

similar to bar charts, but we have to define the classes - useful to infer the shape of distribution (either skewed or symmetric)

21
Q

sample stats

A

data that comes from a sample

22
Q

pop. parameters

A

data that comes from a population

23
Q

variability

A

the extent at which the values in a given var is dispersed around its typical values

24
Q

range

A

largest val - smallest val; disadvantage of range is highly influenced by extreme values - interquartile range overcomes the dependency on extreme values (Q3-Q1)