STAT (4th Quarter) Flashcards

1
Q

is a type of observational
study design. In this study, the
investigator measures the
outcome and the exposures
in the study participants at
the same time. (compared at the same time)

A

Cross-sectional study design

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2
Q

researchers repeatedly
examine the same individuals
to detect any changes that
might occur over a period of
time. (Compared over the time)

A

longitudinal study,

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3
Q

Types of Longtidunal Study

A

Panel Study
Cohort study
Retrospective study

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4
Q

involves a sample of people from a more significant population
and is conducted at specified intervals for a more extended period.

A

panel survey

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5
Q

Its essential features is that researchers collect data
from the same sample at different points in time.

A

panel study’s

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6
Q

are designed for quantitative analysis, though they may also be used to collect qualitative data and analysis.

A

panel studies

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7
Q

researchers use __________ to accurately measure
specific parameters and human behaviors

A

panel surveys

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8
Q

samples a cohort (a group of people who typically
experience the same event at a given point in time). Medical
researchers tend to conduct cohort studies. Some might consider
clinical trials similar to cohort studies.

A

cohort study

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9
Q

researchers merely observe participants without
intervention, unlike clinical trials in which participants undergo
tests.

A

cohort studies,

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10
Q

They are planned in advance and carried out in a future period of
time. In this study, individuals do not have the disease, but it is
observed over a period of time to observe the frequency of its
manifestation in different groups.

A

Prospective study

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11
Q

uses already existing data, collected during previously
conducted research with similar methodology and variables.

A

retrospective study

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12
Q

Possible sources of biases in a sample surveys
that one should be cautious about:

A
  • Wording of questions
  • Sensitivity of the survey topic
  • Interviewer biases
  • Non-response biases
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13
Q

which can influence the response enormously

A

Wording of questions

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14
Q

income, sex, illegal behavior, etc.

A

Sensitivity of the survey topic

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15
Q

in selecting respondents or in the responses generated because of the
appearance and demeanor of the interviewer.

A

Interviewer biases

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16
Q

which happens when targeted respondents opt not to provide information
in the survey

A

Non-response biases

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17
Q

Type of survey errors

A

Sampling Error
Non-Sampling Error

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18
Q

It results from chance variation from sample to sample in a probability sample.
It is roughly the difference between the value obtained in a sample statistic and
the value of the population parameter that would have arisen had a census
been conducted.

A

Sampling Error

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19
Q

Types of Non-Sampling Error

A

Coverage error or selection bias

Non-response error or bias occurs

Measurement error

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20
Q

results if some groups are excluded from
the frame and have no chance of being selected.

A

*Coverage error or selection bias

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21
Q

occurs when people who do not respond may
be different from those who do respond.

A
  • Non-response error or bias occurs
22
Q

It is how likely something is to happen. “chance”

A

Probability

23
Q
  • A context wherein possible outcomes are well defined and can
    be specified, at least in principle, beforehand.
A

Random Process

24
Q

We do not know which of the possible outcomes will occur,
but we do know what is on the list of possible outcomes.

A

Random Process

25
It is a way to map outcomes of a statistical experiment determined by chance into number
Random Variable
26
is an activity that will produce outcomes, or a process that will generate data. The outcomes have a corresponding chance of occurrence.
Statistical Experiment
27
are random variables that can take on a finite number of distinct values.
Discrete Random Variables
28
are random variables that take an infinitely uncountable number of possible values, typically measurable quantities.
Continuous Random Variables
29
The collection of information from a sample of individuals through their responses to questions.
Survey
30
is a method of systematically gathering information on a segment of the population such as individuals, families, wildlife, farms, business firms, and unions of workers, for the purpose of quantitative descriptors of the attributes of the population.
A sample survey
31
A sample often provides useful and reliable information at a much lower cost than a census.
Cost
32
A sample usually provides more timely information because fewer data are to be collected and processed. This attribute is particularly important when information is needed quickly.
Timeliness
33
A sample often provides information as accurate, or more accurate, than a census, because data errors typically can be controlled better in smaller tasks.
Accuracy
34
More time is spent in getting detailed information with sample surveys than with censuses.
Detailed information
35
When a test involves the destruction of an item, sampling must be used.
Destructive testing
36
involves random selection, allowing you to make strong statistical inferences about the whole group
Probability sampling
37
involves non-random selection based on convenience or other criteria, allowing you to easily collect data.
Non-probability sampling
38
is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected. Data is then collected from as large a percentage as possible of this random subset.
Simple random sampling
39
the population is divided into two or more strata based on common characteristics.
Stratified sampling
40
It is an extension of simple random sampling which allows for different homogeneous groups,
strata,
41
Elements are selected from the population at a uniform interval that is measured in time, order, or space. There is firstly, a decision on a desired sample size.
Systematic sampling
42
It is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.
Cluster Sampling
43
It is a type of nonprobability sampling in which people are sampled simply because they are "convenient" sources of data for researchers. Under this method, researcher does not take special efforts to select the sample, but simply selects those who are immediately available
Haphazard or accidental sampling
44
, participant volunteer rather than being chosen.
volunteer sampling
45
pertains to having an expert select a representative sample based on his own subjective judgment.
Purposive sampling
46
sample units are picked for convenience but certain quotas (such as the number of persons to interview) are given to interviewers. This design is especially used in market research.
Quota Sampling,
47
is a statistical term that describes a division of observations into four defined intervals based on the values of the data and how they compare to the entire set of observations.
quartile
48
is a term used in statistics to express how a score compares to other scores in the same set.
percentile
49
indicates the percentage of scores in the distribution that falls less than or equal to that score.
percentile rank
50
is equal to the median.
The second quartile