Unit 2 Quiz Review Flashcards

0
Q

Inference

A

A conclusion about the population based on sample data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Cross-Sectional study

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Longitudinal Study

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Time series data

A

Data that have accumulated over a long time.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Quantitative

A

Numerical data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Qualitative

A

Non numerical data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Discrete data

A

Data that is in integral values (Easily countable).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Continuous Data

A

Data resulting from the measure of quantity (Decimals).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Simple random sampling

A

All selections must be equally likely

All combinations of selections must be equally likely

Everyone has a chance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Systematic random sampling

A

Fixed percent of population

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Stratified random sampling

A

Divided into groups called strata (geographic area, age)

A random sample of strata is take

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Cluster random sampling

A

Population organized into groups (schools , communities)

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Destructive sampling

A

Samples that can’t be reintroduced into the population

Example (lightbulb test)

To test products

Product is destroyed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
Q

Household Bias

A

When one type of respondent is overrepresented because groupings of different sizes are polled equally (or underrepresented)

25
Q

Response bias

A

Factors in the sampling method that influences the result.

26
Q

Spreadsheet

A

A list of colums and rows that contain data.

27
Q

Mind map

A

A set of rectangle or ovals that contain your thought processes on a specific topic.

28
Q

Thesis question

A
  1. State population
  2. variables must be stated
  3. correlation expected must be clear
  4. rational (reason you think what you think)
29
Q

Gender bias

A

Bias caused because one gender is more likely to answer a question correctly more than the other gender.