3016

Question 1

Frequency claim

Answer 1

particular rate or degree of a single variable

Question 2

association claims

Answer 2

argues that one level of a variable is likely to be associated with a particular level of another variable

Question 3

casual claims

Answer 3

arguing that one of the variables is responsible for changing another

Question 4

3 criteria of casual claim

Answer 4

-covariance( as A changes B changes)
-temporal precedence(A comes before B)
-internal validity( no alternative for the change in B)

Question 5

Joint probability

Answer 5

If A then B

Question 6

Person who statistics

Answer 6

Someone who defies the statistical odds it is a fallacy that people use

Question 7

cognitive illusions

Answer 7

-failure to use sample size
-relative vs absolute percentages

Question 8

gamblers fallacy

Answer 8

people link events n the past to the events in the future that are completely independent

Question 9

conditional probability

Answer 9

whether event A will occur is even B has occurred

Question 10

bayesian view

Answer 10

the degree of belief that the event will occur

Question 11

bayesian cognitive illusions

Answer 11

-failure to take base info