stats tests Flashcards

1
Q

what is the null hypothesis

A

a hypothesis against a research question
claims no difference in result and difference is an error

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2
Q

what is the p- value

A

the probability that the null hypothesis is correct

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3
Q

what is an alpha-level

A

threshold level for a p-value usually 0.05 so is p-value is <0.05 reject null hypothesis if >0.05 accept null hypothesis

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4
Q

what is a type 1 error

A

false positive
reject null hypothesis when true

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5
Q

what is a type 2 error

A

false negative
accept null hypothesis when false

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6
Q

what kind of data is used in a binomial test

A

dichotomous, yes/ no

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7
Q

What are the three types of binomial test

A

one-tailed where observed is < expected
(cumulative probability 0 to observed)
one-tailed where observed is > expected
(1- cumulative probability from observed max)
two-tailed cumulative probability distance from mean

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8
Q

what is confidence level

A

a range of plausible values associated with confidence level (95%)

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9
Q

when do you use a chi-square goodness of fit test

A

proportions with more than two levels

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10
Q

when should chi-square test of association be used

A

comparing proportion across two or more groups

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11
Q

when should McNemar’s test be used

A

when there are two dichotomous variables e.g. 2by2 contingency table and paired samples measuring proportions

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12
Q

When should a one-sample t-test be used

A

comparing a measure to a fixed value

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13
Q

when should a two sample t-test be used

A

when comparing a measure across two groups independently

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14
Q

when should a paired t-test be used

A

when data can be paired between to groups and are comparing a measure

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15
Q

what is the difference between binomial test and chi squared goodness-of-fit

A

both compare proportions however chi-square can have more than two categories (not dichotomous)

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16
Q

What is chi-squared test of association also known as

A

test of independence

17
Q

what are t-tests used for

A

measure difference in groups of measure
compare means of populations

18
Q

what kind of data is used for t-tests

A

interval or ratio

19
Q

what nominal test does one-sample t-test correspond to

A

binomial
chi-square goodness of fit

20
Q

What nominal test does independent (unpaired) sample t-test correspond to

A

chi-square test of association

21
Q

what nominal test does paired samples t-test correspond to

A

McNemar’s test

22
Q

what does one sample t-test compare

A

compares mean of one sample group to a fixed value

23
Q

What do independent samples t-test compare

A

observed difference between the means of two independent samples or categories

25
Q

What doe paired sample t-test compare

A

mean difference of one group measure on two occasions

26
Q

What assumptions are made by t-tests

A

normality
equality of variance

27
Q

What is central limit theorem

A

one of the most important theorems in data science
if you take n sample from distribution and calculate means will still be normally distributed
shows sample is large enough

28
Q

what are parametric tests

A

statistical tests based on an assumption of normality

29
Q

how is normality tested

A

Shapiro-Wilk
Indicated by a low p-value

30
Q

what test should be used if variance isn’t equal

A

Welch’s test

31
Q

what is the t-score dependent on

A

degree of freedom and sample size

32
Q

what does a greater t score indicate

A

greater difference

33
Q

how is a one sample t-test result reported

A

mean, standard deviation then, t(x) = y, p= </> .z

34
Q

how is independent samples t-test reported

A

mean, SD, t(x) = y, p= z

35
Q

how is paired samples t-test reported

A

mean and SD, t(x) = y, p= z