Terms Flashcards

1
Q

Sample space:

A

Is the collection of all possible outcomes of the experiment and is denoted by S

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2
Q

Simple event

A

Is an event that consists of exactly one outcome

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3
Q

Compound event:

A

Is an event that consist of more than one outcome

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4
Q

Event space:

A

The collection of outcomes that correspond to the event of interest and is denoted by A

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5
Q

Theoretical probability:

A

When all the outcomes of an event are equally likely, the probability is the ratio of the number of outcomes that make up that event the total number of possible outcomes

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6
Q

Random variable:

A

A quantity that can have a range of values designated as X, with individual values as x

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7
Q

Discrete random variable:

A

A variable that can only have certain values within a given range, such as the sum of two dice. Must be countable

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8
Q

Continuous random variable:

A

A variable that could have an infinite number of possible values within a given range, often measurements such as volume or time

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9
Q

Population:

A

A group of individuals that is the focus of study

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10
Q

Sample:

A

A selection of individuals taken from a population

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11
Q

Census:

A

Information gathered about an entire population

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12
Q

Cross-sectional study:

A

A study that considers individuals from different groups at the same time

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13
Q

Longitudinal study:

A

A study that considers individuals over a long period of time

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14
Q

Quantitative variable:

A

Variables that can be measured numerically

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15
Q

Qualitative:

A

Variables that cannot be measured numerically

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16
Q

Discrete data:

A

Data that can be described using whole numbers (a count)

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17
Q

Continuous data:

A

Data only measurable with real numbers (measure of quantity)

18
Q

Inference:

A

A conclusion about the population that is made from the sample

19
Q

Simple random sampling

A

All selections are equally likely

20
Q

Systematic random sampling

A

The starting point is randomly chosen; and the every nth individual is chosen

21
Q

Stratified random sampling

A

Population is divided into groups called strata (geographic, age, etc)
A simple random sampling of the members of each strata

22
Q

Cluster random sampling

A

Population divided into groups
a random sample of groups has chosen
all members of the chosen groups are surveyed

23
Q

Multistage random sampling

A

Population survey into groups
a random sample of groups is chosen
a random sample of members from the chosen groups are taken

24
Q

Destructive sampling

A

Samples, however chosen, are eventually destroyed

25
Q

Primary data

A

Data collected by the researcher

26
Q

Secondary data

A

Data collected from other sources

27
Q

Open question style

A

Questions answered in the respondents own words

28
Q

Closed question style

A

Questions that require the respondent to pick from a given list of options

29
Q

What are the four types of survey questions?

A

Information
checklist
ranking
Rating

30
Q

What are the four characteristics of a good survey question?

A

Simple
Relevant
Specific
Readable

31
Q

What are the five things survey question should avoid?

A
Jargon
Abbreviations
Negatives
Leading respondents 
Insensitivity
32
Q

Bias

A

And unintended influence on a data gathering method

33
Q

Treatment group

A

The group that receives treatment being studied

34
Q

Control group

A

The group that does not receive the treatment being studied. Instead they are given no treatment, the currently excepted treatment, placebo

35
Q

Placebo

A

A treatment given to the control group that has no therapeutic value

36
Q

Double-blind test

A

A study in which neither the researcher norther study participants know until the conclusion of the study which group they were in

37
Q

Sampling bias

A

When the sample does not represent the population accurately. It rises when random sampling techniques are not used

38
Q

Non-response bias

A

Bias that occurs because not all surveys are returned. When a survey is concluded, the sample consist of only people who can be contacted and are also willing

39
Q

Household bias

A

Bias that occurs when one type of respondent is over represented because groupings of different sizes are polled equally

40
Q

Response bias

A

Bias that is a result of how the questions are designed an asked. This may be a result of many factors including: poor question design, leading a miss leading questions, interviewer tone