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Stats Vocab
Stats Vocab
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Statistics Vocabulary (40 Words) #math #stats #statistics
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1
.. is when the effects of one cannot be distingushed from the effects of the other
Control Group
Confounded
Replication
Block
2
divide the entire population into pre-existing segments or clusters
Cluster Sampling
Random Sampling
3
..is a use of variety of sampling mathods to create successivlely smaller groups.
Sample
Experiment
Multistage Sampling
Block
4
measurements or observations from
part
pf the population are used
Census
Sample
5
people or objects incuded in the study
Parameter
Variable
Statistics
Individuals
6
used to assign individuals to the two treatment groups, helps prevent bias for each group
Replication
Control Group
Sample
Randomization
7
observations of individuals are conducted so it does not change the variable being measured
Sample
Census
Observational Study
Experiment
8
the data that consists of names, labels, or categories
Nominal Level of Measurement
Population Data
Simulation
Statistic
9
individuls sorted into blocks, then a random process used to assign each member to a treatment
Observational Study
Nonsampling Error
Randomized Block Experiment
Conventence Sampling
10
a random processis used to assign each individual to one of the treatments
Randomization
Randomized Block Experiment
Completely Randomized Experiment
Control Group
11
a list of individuals from which a sample is selected
Replication
Census
Sampling Frame
Individuals
12
can be ordered, by differences and ratios that are meaningful, including the value of zero
Interval Level of Measurement
Ratio Level of Measurement
13
group of individuals sharing some common features that might affect the treatment
Block
Sample
Nonsampling Error
Replication
14
characters of the individual to be measured or observed
Replication
Cluster Sampling
Observational Study
Variable
15
for which no data has been collected but nevertheless has influence on other variables involved
Observational Study
Nonsampling Error
Lurking Variable
Completely Randomized Experiment
16
a numerical facsimilie or representative for a real-world phenomenon
Simple Random Sample
Simulation
17
divide poulation into subgroups based of specific characteristics such as age, income, etc.
Systematic Sampling
Stratified Sampling
18
... is the difference between measurements from a sample and from the population
Observational Study
Placebo Effect
Confounded
Sampling Error
19
a subject recieves no treatment but (incorrectly) believes they are receiving correct treatment
Lurking Variable
Sample
Randomization
Placebo Effect
20
this group is recieved a "dummy treatment" enabling reaserchers a control for placebo effect
Control Group
Cluster Sampling
Individuals
Simulation
21
measurements from a population group selected in which each sample has a chance to me picked
Simple Random Sample
Simulation
22
involves methos of using info from a sample to draw conclusions reguarding the population
Descriptive Statistics
Inferental Satistics
23
data can be ordered, the differences of data values are meaningless
Nominal Level of Measurement
Ordinal Level of Measurement
24
poor sample design, sloppy data collection, faulty measuring instruments, bias questions
Nonsampling Error
Sampling Error
25
a treatment to observe a possible change in the response or variable being measured
Block
Replication
Experiment
Sample
26
Satistic is...
the data from only some of the individuals of interest
a numerical measure that describes an aspect of a sample
a numerical measure that describes an aspect of a population
the data from every individual of interest
27
Quantitative Variable
a numerical measure that discribes an aspect of a sample
the data are from every individual of interest
the variable is numerical,so adding and averaging make sense
people or obejects included in the study
28
reduces possibility of the differences in pain relief for the 2 groups occurred by chance alone
Replication
Lurking Variable
Randomization
Confounded
29
... is collecting, organizing, analizing, and interpreting data.
Simulation
Variable
Census
Statistics
30
Convenience Sampling
create a sample using data from population that is available
the data are from every individual of interest
use a simple random sample from the entire population
characters of the individual to be measured or observed
31
use a simple random sample from the entire population
Random Sampling
Stratified Sampling
32
the data from only some of the individuals of interest
Variable
Statistic
Sample Data
Descriptive Statistics
33
involves mehods of organizing, picturing, and summarizing info from samples the population
Descriptive Statistics
Inferential Statistics
34
measurements or observations from the
entire
population are used
Sample
Census
35
number each member of a population; from a starting point every
n
th
number is chosen at random
Cluster Sampling
Systematic Sampling
36
the variable describes and individual through grouping or categorization
Quantitative Variable
Variabe
Parameter
Qualitative Variable
37
Undercoverage is..
result from ommitting population of the sampling frame
measurements from the entire population are used
a list of individuals from which a sample is selected
meausrements from part of the population are used
38
data can be ordered and the differences of data values are meaningful
Interval Level of Measurement
Ratio Level of Measurement
39
the data is from every individual of interest
Simulation
Individuals
Ordinal Level of Measurement
Population Data
40
.. is a numerical measure that describes an aspect of a population
Parameter
Simulation
Random Sampling
Variable