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CA (650,000)

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Psychology (9,000)

PSYB07H3 (50)

Dwayne Pare (30)

Lecture 6

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

by OC1224795

Department

PsychologyCourse Code

PSYB07H3Professor

Dwayne PareLecture

6This

**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

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