probability to ANOVA Flashcards

1
Q

random trial

A

any process that has multiple outcomes but where the result on any particular trial is unknown

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2
Q

sample space

A

the set of all possible outcomes form a raondom trial

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3
Q

discrete distributions

A

probability distribution for a discrete variable

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4
Q

continous variable

A

probabilty distribution for a continous variabe –> if the range is 0, so is the probability

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5
Q

standard normal distribution

A

is a special form of the normal distribuiton with a mean of 0 and a standard deviation of 1

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6
Q

sampling distributions

A

the probability distribution of a descriptive statisitc that would emerge if a statistical populatioon was sampled repeatedly a large number of times (narorwer than the statisitcal population)

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7
Q

central limit theorm

A

allows us to calculate the mean and standard deviation of the sampling distribution without the need to construct it

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8
Q

students t distribution

A

probability used to describe the sampling distributions when the parameters of the statisitcal population are estimated from a sample

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9
Q

confidence intervals

A

the range over a sampling distribution that brackets the centre-most probability of interest (derived from the sampling distributions, based on t-distributions)

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10
Q

null hypothesis

A

statement / positon that is the skeptical viewpoint of your research question

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11
Q

null distribution

A

sampling distribution from an imaginary statistical population where the null hypothesis is true

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12
Q

alternative hypothesis

A

statement / position that is the positive viewpoint (contains everything not in the null hypothesis)

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13
Q

directionality

A

whether there is direction in the null and alternative hypothesis

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14
Q

type I error rate

A

rejecting the null hypothesis when it is true

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15
Q

p value

A

probability of seeing your data, or something more extreme under the null hypothesis

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16
Q

type II error

A

the probabilty of failing to reject the null hypothesis when it is false

17
Q

single sample t test

A

evaluate whether the mean of your sample is different from some reference value
- compares a sample mean of a numerical variable to a reference value, the null distribution is a t-distribution

18
Q

paired sample t test

A
  • evaluate whether the difference in paired data is different from some reference value
  • ## compares the difference between paired measuremnents of a numerical variable to a reference value
19
Q

2 sample t test

A

evaluate whether the means of 2 groups are different from each other

20
Q

chi-square test interaction

A

refers to the cells in the table not having equal relative proportions across the levels of each variable

21
Q

chi-square test independent

A

cells having equal relative proportions across the levels of each variable

22
Q

chi-squared score

A

a measure of the distance between 2 contingency tables (squared difference between 2 table)

23
Q

chi-squared distributions

A

the distribution of chi-squared scores expected from repeatedly sampling a statisitcal population where the null hypothesis was true

24
Q

linear regression

A

stat test used to evaluate whether changes in one numerical variable can predict changes in a second numerical variable

25
slope
describes the amount that the response variable increases / decreases for every unit change in the predictor variable
26
shaprio-wilks test
test used to quantitatively evaluate the assumption that the reiduals are noramll distributed
27
F-test
statisitcal hypothesis test used to evaluate whether the variance of 2 groups are different
28
grouping variation
the variation between the group means and overall grand mean
29
residual variation
the variation between the sampling units ans the groups means
30
ANOVA
used to test for differences in means among categorical levels when there are more than 2 levels
31
Post HOC test
secondary tests used to evaluate what groups have different means in ANOVA
32
turkeyHSD
a type of test that evaluates all possible contrast statements
33
contrast statements
the difference in means between 2 groups in an ANOVA
34
family of contrast
the set of all contrast statments used for a set of data
35
2 facotr ANOVA
statisitcal test used to evaluate the change in a numerical variable acorss 2 categorical variables
36
interaction (two - factor ANOVA)
when the resposne to the combination of 2 levels is not the simple sum of 2
37