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
Q

slope

A

describes the amount that the response variable increases / decreases for every unit change in the predictor variable

26
Q

shaprio-wilks test

A

test used to quantitatively evaluate the assumption that the reiduals are noramll distributed

27
Q

F-test

A

statisitcal hypothesis test used to evaluate whether the variance of 2 groups are different

28
Q

grouping variation

A

the variation between the group means and overall grand mean

29
Q

residual variation

A

the variation between the sampling units ans the groups means

30
Q

ANOVA

A

used to test for differences in means among categorical levels when there are more than 2 levels

31
Q

Post HOC test

A

secondary tests used to evaluate what groups have different means in ANOVA

32
Q

turkeyHSD

A

a type of test that evaluates all possible contrast statements

33
Q

contrast statements

A

the difference in means between 2 groups in an ANOVA

34
Q

family of contrast

A

the set of all contrast statments used for a set of data

35
Q

2 facotr ANOVA

A

statisitcal test used to evaluate the change in a numerical variable acorss 2 categorical variables

36
Q

interaction (two - factor ANOVA)

A

when the resposne to the combination of 2 levels is not the simple sum of 2