Class Notes (1,100,000)
CA (650,000)
UTSC (30,000)
Psychology (9,000)
Lecture 6

PSYB07H3 Lecture Notes - Lecture 6: Standard Score, Standard Deviation, Sampling Distribution


Department
Psychology
Course Code
PSYB07H3
Professor
Dwayne Pare
Lecture
6

This preview shows half of the first page. to view the full 3 pages of the document.
Normal Distribution & Z scores
Normal distribution
- z-score
- z table
Z- score
Mario bros game
interested in how well is his sister performing in comparison to other
80 coins → stage 1
75 coins → stage 2
what if
stage 1: u = 85, o = 5
stage 2: u= 70, o= 5
Another example
- Ian took 2 tests and he got 75 in both tests
- test 1: u = 60, o = 15
- test 2: u = 60, o = 5
Z- score
standardize → convert to z-score
turn the score into something that we can compare with other scores
how many standard deviation a score is away from the mean
FÓRMULA
- z = (x-u)/o
raw score - mean divided by standard deviation
first example → (80-85)/5 = -1
this means her first stage score is 1 standard deviation below the mean
stage 2 → (75-70)/5 = 1
this means her second stage score is 1 standard deviation above the
mean
second example
test 1 → (75-60)/15 = 1
1 o above u
test 2 → (75-60)/5 = 3
3 o above u
You're Reading a Preview

Unlock to view full version