Inferential stats

Question 1

What is inferential stats?

Answer 1

Probability estimates

Question 2

Conditional probability calculation is A and B are independent

Answer 2

p(A) x p(B)

Question 3

Conditional probability calculation if not independent

Answer 3

p(a) x p(BIA)

Question 4

Conditional probability calculation is not mutually exclusive

Answer 4

p (AorB) = p(A) + p(B) - p(AandB)

Question 5

Gamblers fallacy

Answer 5

It’s happening a lot now so won’t happen in future

Question 6

Law of small numbers

Answer 6

Exagerated confidence in small numbers e.g. winning the lottery

Question 7

COnjunction of the inverse

Answer 7

probabilty of A given B does not equal probability of B given A

Question 8

95% of population fits in what z score value

Answer 8

+/- 1.96

Question 9

Calculation of z score

Answer 9

x - mean / SD

Question 10

Calculation for statistical model

Answer 10

outcome = (model) + error

Question 11

What alters a model?

Answer 11

Design, type of data and hypothesis

Question 12

Whats the simpliest model

Answer 12

Mean

Question 13

Sum of sqaured error =

Answer 13

total deviation of scores from the mean (good accuracy measure)

Question 14

What are degrees of freedom?

Answer 14

Number of variables free to vary

Question 15

What is good about standard deviation?

Answer 15

Can be compared because it’s standardised

Question 16

What improves with more ppts?

Answer 16

Sampling distribution and frequency distribution approach normality

Question 17

How can you measure how closely a sample compares to the mean?

Answer 17

Standard error of the mean or SD of sampling distribution

Question 18

Central limit theroem

Answer 18

As sample size increases normal distribution will be reached (above sample size of 30)

Question 19

If a sample size is smaller than 30 what distribution is used?

Answer 19

t-distribution