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Q 1/26
Score 0
Before the event. Usually refers to a theoretical expectation of the outcome of an experiment.
30
A priori
Q 2/26
Score 0
Without negative numbers, for example |-10| equals 10.
30
Absolute
26 questions
Q.
Before the event. Usually refers to a theoretical expectation of the outcome of an experiment.
1
30 sec
Q.
Without negative numbers, for example |-10| equals 10.
2
30 sec
Q.
The samples/observations do not come from the same populations, or the mean between populations are bigger or smaller.
3
30 sec
Q.
When a distribution has two high points (peaks).
4
30 sec
Q.
May be obtained if each item examined can have only one of two possible states.
5
30 sec
Q.
The ratio between the mean and the standard deviation expressed as a percentage.
6
30 sec
Q.
Observations that do not fall into a series of distinct categories and may take any value in the scale of measurement, e.g. height.
7
30 sec
Q.
The point on the x axis where the extreme values are divided from the common values in a distribution using mathematical relationships.
8
30 sec
Q.
A measure that reflects the number of observations in your calculation and the experimental design.
9
30 sec
Q.
Observations measured on a discontinuous scale or a variable that falls into a series of distinct categories.
10
30 sec
Q.
The shape seen on a graph when data are plotted.
11
30 sec
Q.
A mathematical or biological model of the outcome of an experiment against which the observations can be compared.
12
30 sec
Q.
The middle value of an ordered set.
13
30 sec
Q.
The category that contains the greatest frequency of observations.
14
30 sec
Q.
Data that is not normally distributed (and the distribution is unknown).
15
30 sec
Q.
A bell shaped distribution with a single central peak, which can be described by the Gaussian equation.
16
30 sec
Q.
An assumption that two or more samples or observations are derived from the same population.
17
30 sec
Q.
When the hypothesis testing is such that only one end of a distribution is being considered.
18
30 sec
Q.
An observation that is noticeable different from all other observations.
19
30 sec
Q.
A unimodal distribution, which is often very assymetrical with a protracted tail either to the right or to the left.
20
30 sec
Q.
An indicator of how effective a statistical test is in not detecting a difference when one is not present as a result of the action of the factors under investigation.
21
30 sec
Q.
The difference between the highest and the lowest observations.
22
30 sec
Q.
A measure of the variation in data where the distribution is known.
23
30 sec
Q.
If we reject the null hypothesis when it is really true.
24
30 sec
Q.
If we not reject the null hypothesis, even when it is false.
