Lecture 22: Additional concepts to know about Flashcards

(35 cards)

1
Q

Covariance

A

unstandardized correlation

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2
Q

correlation in terms of the covariance

A

covariance adjusted for standard deviations

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3
Q

cor(x, y) formula

A

cov(x,y)/sd(x)sd(y)

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4
Q

cov(x,y) formula

A

cor(x,y)sd(x)sd(y)

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5
Q

Does Covariance depend on units?
Is covariance confined to values -1-1?

A

It does depend on units and isn’t confined to values between -1-1 because it’s not adjusted for the sd

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6
Q

Correlation is more/less useful for describing relationships between variables whilst covariance is used as a _________ ____ in some computations

A

More useful
Intermediate step

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7
Q

Anova stands for

A

Analysis of variance

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8
Q

ANOVA what is it?

A

a mean comprison test whose test statistic is called an F statistic

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9
Q

Anova is a generalization of the _____ ________

A

t-test

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10
Q

The t-test compares __ ______, whereas ANOVA is a ______ ____

A

2 mens
Omnibus test

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11
Q

Omnibus test

A

A test that can compare many means at once

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12
Q

If you’re using an ANOVA to compred 2 means it’s basically equivalent to a __-_____

A

t-test

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13
Q

What is the F statistic

A

The t statistic squared

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14
Q

The resulting p-value is ____ ______ as for the t-test

A

the same

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15
Q

If you’re comprig more than 2 means then ANOVA gives you a single _-_____ testing the omnibus null hypothesis

A

p-value

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16
Q

omnibus null hypothesis

A

All population means are equal

17
Q

If the p-value in ANOVA is statistically significant it means what?

A

We’re confident atleast one mean is different from the others but can’t specify which one’s or how many are different

18
Q

It’s good to do “_____ ___ _____” after a omnibus test

A

post hoc test

19
Q

post hoc tests

A

t tests of individual pairs of means –> omnibus test pretty pointless

20
Q

Types of ANOVA (4)

A
  1. One way ANOVA
  2. Factorial ANOVA
  3. MANOVA
  4. ANCOVA
21
Q

One way ANOVA is for designs with a ______ _____. It has ________- ________ and ______-__ versions just like the t-test does

A

Single factor
Between-subjects
Within-subjects

22
Q

Factorial ANOVA is for _______ designs. It has both _______-______ and ______-______ and also a “______” version

A

Factorial
Between-subjects
Within-subjects
Mixed

23
Q

“Two-way ANOVA” is for designs with _ ______, “three-way ANOVA” is for designs with ___ ______

A

2 factors
3 factors

24
Q

MANOVA stands for

A

Multivariate analysis of variance

25
MANOVA is for designs with a _____ factor but ________ dependent variables
Single Multiple
26
ANCOVA stands for
Analysis of covariance
27
ANCOVA is like ANOVA but adjusts for one or more "_______" which are also _______ _________ ______
covariance potential confounding variables
28
Linear regression
a type of correlational analysis in whcih we use one variable to predict another
29
Regression line 2 other names
1. Least squares line 2. Line of best fit
30
Formula for regression line
Y = intercept + slope*X or y=mx + c
31
What can we use the regression line for?
To estimate the average value of Y for given value of X eg. predicting college GPA from SAT score
32
In multiple linear regression, we use ______ predictor variables to predict Y
multiple
33
False discovery rate
The percentage of false positives you allow in a study It's less than or equal to the familywise Type 1 Error rate
34
FDR control is more/less strict thant the familywise Type 1 Error rate so adjustments (of alph levels and p-values) need to be more/ don't need to be as severe
Less Don't need to be as severe
35
FDR is sometimes used when the number of tests in the family is _______ _____ and it's considered tolerable for some proportion of those tests to produce _____ __ _____
extremely large Type 1 errors