Data Managment Unit 5 Flashcards

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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
Q

aggregate data

A

data which has been pooled so that individuals are not distinguishable

25
Q

price index

A

measurement of the change in cost over time of an item

26
Q

response bias

A

when respondents change their answers to influence the results, to avoid embarrassment, or to give answer they think the questioner wants

27
Q

sampling bias

A

when the sample does not closely represent the population

28
Q

measurment bias

A

when the collection method is such that the characteristics are consistently over or under represented

29
Q

non response bias

A

when the opinions of respondents differ in meaningful ways from those of non-respondents