CONCEPTS Flashcards

1
Q

Used to infer effects from a set of numbers without knowing why the numbers are like they are

A

Statistics

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

Yields the same output when stimulated several times with the same input

A

Deterministic

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

Yields different output from the same input

A

Random

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

Partly deterministic and random

A

Stochastic

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

Deterministic is ________ because it has no uncertainty however it is _________

A

Superior; Rare

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

Numerical value assigned to an observation which reflects the magnitude or amount of some characterisitc

A

Measurement

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

Determines the type of analysis that can be made from the data

A

Scale of Measurement

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

Classification of observation into mutually exclusive categories of equal rank

A

Nominal

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

Ranked in hierarchy of states

A

Ordinal

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

Length of successive intervals in constant

A

Interval

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

Have a true zero point

A

Ratio

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

Type of probability that the outcomes are countable or finite

A

Discrete Probability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are the four properties of binomial distribution?

A

-There are only TWO POSSIBLE OUTCOMES (“success” or “failure”) for each trial.
-Each trial is INDEPENDENT of all the others.
-The probability of success DOES NOT CHANGE from trial to trial.
-The trials are performed on a FIXED number of times.

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

Type of probability distribution where the number of trials is not fixed

A

Negative binomial

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Type of probability distribution where the probability of success is very small

A

Poisson Distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

A special case of the negative binomial when the interest is the number of trials prior to the initial success

A

Geometric Distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

An extension of the binomial where more than two mutually exclusive outcomes are possible

A

Multinomial Distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Governs an experiment called sampling without replacement

A

Hypergeometric Distribution

19
Q

Variation in the measurements due to instrumental error becomes apparent with repeated measurements

A

Experimental error

20
Q

Variation due to experimental error and between members of a set are sometimes mixed with each other

A

Confounded error

21
Q

Statistical tests are based on the assumption that random variables are _________

A

Normally distributed

22
Q

Well-defined set (finite or infinite) of elements

A

Population

23
Q

Subset of elements taken from a population

24
Q

Deliberate or accidental exclusion of certain characteristics from a sample

25
Characteristics that describe a population
Paremeters
26
Characteristics that refer to samples
Statistics
27
Continuous variable is divided into discrete categories and the number or proportions of observations within each category is represented by the heights of each bars
Histogram
28
The vertical scale is the relative frequency
Relative frequency histogram
29
Successive categories show the cumulative numbers or proportions of observations
Cumulative plot
30
Successive divisions of a distribution (percentile, decile, quartile)
Quantiles
31
A five-number summary of the median, first and third quartiles, and the minimum and maximum
Box and whisker plot
32
Average squared deviations
Variance
33
Square root of variance; same as the units of the measurements
Standard deviation
34
Dimensionless measure of variability expressed as a fraction of the mean
Coefficient of variation
35
Joint variation of two variables about their common mean
Covariance
36
Ratio of the covariance of two variables to the product of their standard deviation (Between +1 and -1)
Correlation Coefficient
37
Some correlations between variables do not reflect the relationship between them, but are induced by an operation or transformation that has been performed on the variables
Induced Correlation
38
One in which all variables measured on an individual add to a fixed total such as 1.00 or 100%, which means the individual variables are proportions of a whole
Closed data
39
Measurements are not expressed as proportions
Open data
40
The process of computing variances and covariances of ratios can be simplified using logarithms
Logratio Transformation
41
States that if sets of random samples are taken from any population, and the means calculated for these samples, the sample means will tend to be normally distributed. This becomes more pronounced for larger size.
Central Limits Theorem
42
The probability of committing a type I error is called the
Level of significance
43
Null hypothesis and its alternative are mutually exclusive and not all inclusive (T or F)
False; all inclusive