Data Managment Unit 5 Flashcards

1
Q

Numerical (Quantitative) Data

A

data that involves numbers

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2
Q

Continuous Data (Numerical)

A

Measurements of any data that can be any number in a range

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3
Q

Discrete Data (Numerical)

A

Can only have certain values

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4
Q

Categorical (Qualitative) Data

A

Information about something that sorted into groups

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5
Q

Ordinal Data (Categorical)

A

Numerical data which can be ranked

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6
Q

Nominal Data (Catergorical)

A

Data which cannot be ranked

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7
Q

Population

A

All the individuals in a group being studied

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8
Q

Sample

A

A portion of the population used to represent

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9
Q

Variability (in samples)

A
  • how samples are different from each other
  • The more similar the samples are to each other, the lower the variability
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10
Q

Simple Random Sample

A

Individuals are chosen at random
- Easy
- Might not be representative if the sample is too small
- Phone survey where #’s are randomly chosen

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11
Q

Systematic Random Sample

A

A mathematical rule used to generate a sample
- The rule ensures that people are chosen from the whole list
- the list must be complete
- Ex. every 5th person in line

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12
Q

Stratified Random Sample

A

A random sample is taken from groups that have been seperated
- If the stratification is representative then the sample can be good.
- If the groups are not representative then the results can be biased
- Choose 20 people per grade. Choose a representative sample of each grade based on the relative population

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13
Q

Cluster

A

Divide the population into groups, randomly choose a number of the groups, and sample each member of the chosen groups
- Good data if enough samples are taken
- Can exclude parts of a population grouped together
- Survey classes within a school board

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14
Q

Multistage Random Sample

A

1st divide the population evenly. 2nd randomly sample each group
- can be representative
- can amplify
- Divide the alphabet equally and choose a letter rom each group

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15
Q

Convenience

A

Sample those individuals easily accessible
- easy
- easy to have a non-representative sample
- ask people in line at a store

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15
Q

Voluntary

A

send a survey for response
- easy and cheap
- generally biased by responses of only people who care deeply
- send a survey to every house

16
Q

Experimental study

A

a study conducted where an independent variable is changed and the dependent variable is measured

17
Q

Observational study

A

observing the relationship between z variables. “examaning 2 sets of data”

18
Q

Primary Data

A

Data which is collected to answer a specific question

19
Q

secondary data

A

data used that was originally collected for another purpose

20
Q

bias

A

the data representative of the population as a whole

21
Q

primary data source

A

data generated based on a testable question

22
Q

secondary data source

A

data used from a source which generated it for another purpose

23
Q

microdata

A

statistics which are separated by individual or group

24
aggregate data
data which has been pooled so that individuals are not distinguishable
25
price index
measurement of the change in cost over time of an item
26
response bias
when respondents change their answers to influence the results, to avoid embarrassment, or to give answer they think the questioner wants
27
sampling bias
when the sample does not closely represent the population
28
measurment bias
when the collection method is such that the characteristics are consistently over or under represented
29
non response bias
when the opinions of respondents differ in meaningful ways from those of non-respondents