lecture 2 - chi squared and t test Flashcards

1
Q

tests which measure bivariate relationships

A

chi squared

2 sample t test

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2
Q

what does chi squared do

A

measures the difference between observed and expected values if there is no pattern / tells you if there is a pattern or just random

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3
Q

variables in chi squared

A

categorical - cannot be scalar

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4
Q

what is a contingency table?

A

a type of table that displays the frequency distribution of the variables

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5
Q

what does chi squared NOT do?

A

tells you what the pattern in the data is

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6
Q

the result is significant if the chi squared output is equal to or more than…?

A

5

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7
Q

how to calculate the expected value

A

(row total * column total) / grand total

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8
Q

requirements

A

each respondent can only be in one cell

each cell must have an expected value more than 5

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9
Q

what is a binary variable

A

variable that only takes 2 values e.g. male and female

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10
Q

what does a 2 sample t-test do?

A

assesses whether the means of 2 groups are statistically significant from each other

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11
Q

what variables are needed for a t test?

A

categorical - binary variable

scalar

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12
Q

what are the assumptions for a 2 sample t test?

A
  1. population needs to be normally distributed
  2. if population is not normally distributed, a large sample size is needed
  3. homogeneity of variance - same amount of variation in each of the 2 groups is similar
  4. cannot be carried out if the 2 groups are small and non-parametric
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