STATISTICS Flashcards

(29 cards)

1
Q

A branch of mathematics that deals with scientific collection, organization, presentation, analysis, and interpretation of numerical data

A

Statistics

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2
Q

A set of procedyres and rules for reducing large masses of data into manageable proportions allowing us to draw conclusions from those data

A

Statistics (McCarthy definition)

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3
Q

A person who is trained in collecting numerical information (data), evaluating it and drawing conclusions from it

A

Statistician

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4
Q

Assignment of a number to something

A

Measurement

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5
Q

Characteristics or attribute that can assume different values

A

Variable (data)

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6
Q

Values (measurements or observations) that variables can assume

A

Data Values

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7
Q

Consists of all sibjects that are being studied

A

Population

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8
Q

A group of subjects selected from a population

A

Sample

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9
Q

Measure used to describe the population

A

Parameter

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10
Q

Measure computed from sample data

A

Statistic

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11
Q

Consists of the collection, organization, summarization, and presentation of data

A

Descriptive statistics

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12
Q

Consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions

A

Inferential statistics

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13
Q

Variables that can be placed into distinct categories, according to some characteristic or attribute

A

Qualitative data

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14
Q

Numerical and can be ordered or ranked

A

Quantitative data

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15
Q

Quantitative data that are countable using a finite count

A

Discrete Data

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16
Q

Quantitative data that can take on any value within a range of values on a numerical scale in such a wat that there are no gaps, jumps, or other interruptions; real valued

A

Continuous Data

17
Q

Lowest level of data; applied to data that are used for category indentification

A

Nominal Scale

18
Q

Next higher level of data; characterized by data that applies to categories that can be ranked

A

Ordinal Scale

19
Q

Applied to data that can be arranged in some order and for which differences in data values are meaningful; results from counting or measuring

A

Interval Scale

20
Q

Highest level of measurement; applied to data that can be ranked and for which all arithmetic operations including division can be performed; results from counting or measuring

21
Q

The process of selecting the individuals from the population that makes up our sample

22
Q

Sample sizes can be computed by applying

A

n = N/1+Ne^2

n= number of samples
N= number of population
e= margin of error

23
Q

The research participants recruit other participants for a test or study; used when potential participants are hard to find

A

Snowball Sampling

24
Q

Collected in the most convenient manner

25
Based on judgments about who in the population would be most likely to provide the needed information
Judgment or Purposive Sampling
26
Every possible sample of a given size has an equal chance of being selected
Simple Random Sampling
27
Divide population into subgroups
Stratified Random Sampling
28
Randomly select ine individual from the 1st group and select every kth individual
Systematic Random Sampling
29
Divide population into several clusters
Cluster Sampling