Unit 2 Quiz Review Flashcards

(30 cards)

0
Q

Inference

A

A conclusion about the population based on sample data.

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1
Q

Population vs Sample

A

The group being studied is called the population a selection of individuals taken from the population is the sample.

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2
Q

Cross-Sectional study

A

A study that considered individuals from different groups at the same time.

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3
Q

Longitudinal Study

A

A study of a single group (Sample) over a long time to recognize change over time.

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4
Q

Time series data

A

Data that have accumulated over a long time.

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5
Q

Quantitative

A

Numerical data

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6
Q

Qualitative

A

Non numerical data

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7
Q

Discrete data

A

Data that is in integral values (Easily countable).

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8
Q

Continuous Data

A

Data resulting from the measure of quantity (Decimals).

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9
Q

Simple random sampling

A

All selections must be equally likely

All combinations of selections must be equally likely

Everyone has a chance

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10
Q

Systematic random sampling

A

Fixed percent of population

Random starting point (individual household) they select every nth individual

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11
Q

Stratified random sampling

A

Divided into groups called strata (geographic area, age)

A random sample of strata is take

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12
Q

Cluster random sampling

A

Population organized into groups (schools , communities)

A random group is chosen and surveyed (All of them surveyed)

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13
Q

Multi-staged random sampling

A

A population out into groups

A random sample of groups is chosen then take info

50% 50% example

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14
Q

Destructive sampling

A

Samples that can’t be reintroduced into the population

Example (lightbulb test)

To test products

Product is destroyed

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15
Q

Primary data

A

Data that is collected on your own (Survey)

16
Q

Secondary data

A

Data collected from another source

17
Q

Open ended questions

A

Respondents reply in their own words

18
Q

Closed ended questions

A

Respondents are given a limited number of responses from which they choose

19
Q

Good questions

A

Relevant
Simple
Readable
Specific

20
Q

Good questions should avoid

A
Negative
Jargon
Abbreviations
Insensitivity
Leading respondent
21
Q

Bias

A

An unintended influence on data-gathering method.(Unfair)

22
Q

Sampling bias

A

When the chosen sample does not accurately represent the population.

23
Q

Non-response bias

A

When the results are influenced because surveyed are not returned.
Or the answer you provide is invalid.

24
Household Bias
When one type of respondent is overrepresented because groupings of different sizes are polled equally (or underrepresented)
25
Response bias
Factors in the sampling method that influences the result.
26
Spreadsheet
A list of colums and rows that contain data.
27
Mind map
A set of rectangle or ovals that contain your thought processes on a specific topic.
28
Thesis question
1. State population 2. variables must be stated 3. correlation expected must be clear 4. rational (reason you think what you think)
29
Gender bias
Bias caused because one gender is more likely to answer a question correctly more than the other gender.