stats chapter 1 Flashcards

1
Q

Descriptive Statistics

A

organizing and summarizing data

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2
Q

inferential statistics

A

formal methods to drawing conclusions from data

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3
Q

probability

A

a mathematical tool used to study randomness

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4
Q

population

A

whole group, group I want to know about, parameter is fixed

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5
Q

variable

A

a characteristic or measurement that can be determined for each member of a population (x or y or z), numerical or categorical

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6
Q

data

A

actual values of the variable, datum

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7
Q

qualitative data

A

the result of categorizing or describing attributes of a population
ex: hair color, eye color, type of car

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8
Q

quantitative data

A

always numerical from counting or measuring

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9
Q

quantitative discrete data

A

a variable that can only take specific numeric values

ex: number of needle punctures

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10
Q

quantitative continuous data

A

data involving numbers that could change over time

ex: height or temperature

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11
Q

sampling

A

a sample should have the same characteristics as the population its representing

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12
Q

simple random sample

A

a type of probability sampling where the researcher randomly selects a subset of participants from a population
ex: names of 25 employees being chosen from a hat with 150 employees names

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13
Q

convince sample

A

drawing from a population that is close at hand or convenient. it is a non probability type of sample

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14
Q

stratified sample

A

researchers divide subjects into subgroups based on characteristics they share, once divided each subgroup is randomly sampled using another probability sampling method.

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15
Q

cluster sample

A

When researchers divide population into small clusters and then randomly select some of the samples as they go

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16
Q

systematic sample

A

select a random starting point and then select every Nth subject in the population

17
Q

center

A

a rep. or average value that indicates where the middle of the data set is located

18
Q

variation

A

a measure of the amount that the values vary among themselves

19
Q

distribution

A

the nature or shape of data

20
Q

outliers

A

sample values that lie very far away from the majority of the other sample values