1.5 - Statistical Tests 1 Flashcards

(16 cards)

1
Q

normal distribution

A

mean and standard deviation independent of one another

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2
Q

standard normal distribution

A

mean of 0and standard deviation of 1

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3
Q

compare normal distributions to standard normal distribution calculation

A

Z = (Y - Y)
/S
Z = probability with which value lies in a range
Y = Y value
Y
= mean
S = standard deviation

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4
Q

null hypothesis

A

statement about world that can be falsified; no signal

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5
Q

alternative hypothesis

A

signal (often research hypothesis)

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6
Q

P-valueVariables that determine what statistical test to do? (5)

A
  1. what type of response variable
  2. what type of explanatory variable
  3. interested in differences or trends/ relationships
  4. paired or independent sample
  5. distribution
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7
Q

different types of response variable (4)

A
  1. continuous
  2. discrete/count
  3. proportion
  4. binary
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8
Q

different types of explanatory variables (5)

A
  1. continuous
  2. discrete/count
  3. proportion
  4. binary
  5. categorical
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9
Q

different types of distribution (2)

A
  1. normal
  2. non-normal
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10
Q

paired sample

A

first and second measurement of the same individual are not independent of each other

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11
Q

normal distribution (6)

A
  1. parametric tests
  2. powerful, easy to interpret
  3. use means
  4. require data (or residuals) to be normally distributed
  5. often require similar variance in groups
  6. can be used to answer complicated questions
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12
Q

non-normal distribution (6)

A
  1. non-parametric tests
  2. less powerful, more conservative
  3. use medians (data usually ranked before test)
  4. usually no assumptions about distribution of data
  5. robust
  6. often restrictive, cannot answer more complex Qs
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13
Q

how to check for normal distribution (2)

A
  1. graphically (does it look normal)
  2. formal tests (shapiro-wilk test)
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14
Q

shapiro-wilk test in R

A

shapiro.test(variable name)
H0 = no deviation from normal distribution
P = < 0.05 = reject H0, >0.05 = dont reject (normal)

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15
Q

chi-squared response variable/explanatory variable (2)

A
  1. response variable = count (observations)
  2. explanatory variable = categorical
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16
Q

chi-squared

A

look at one note