LECTURE 1 basics Flashcards

1
Q

null hypothesis

A

n0

no effect will be found

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2
Q

alternative hypothesis

A

n1
effect will be found

direction - one tailed ie reading will be better
no direction = 2 tailed by less significant or accurate

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3
Q

define IV

A

variable being manipulated

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4
Q

define DV

A

variable being measured

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5
Q

define population

A

whole population refers to the whole group of people aiming to find out about

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6
Q

define sample

A

subset of the population aimed to represent the population as a whole so can generalise results - approximates the population - multiple trials and re sampling provide differing estimates of the population that are used to get a whole idea

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7
Q

what is variation that is not produced as a result of iv manipulation between two groups

A

unsystematic variation (variation due to iv manipulation called systematic variation) - must be controlled for by randomisation of participants and counterbalance of conditions

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8
Q

describe measures of central dendency

A

mode - most frequent score
median - middle score
mean - average by add up and divide by no. scores

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9
Q

define categorical variable

A

nominal - no mathematic meaning ie country or birth, gender etc
mode measure of central tendency

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10
Q

define ordinal variable

A

differenced between scores may not be equal ie 1st and 2nd place - cant use arithematic
use ranks
median central tendency

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11
Q

define continuous variable

A
scale - difference between points are equal 
0 indicates absence = ratio level
0 not indicate absence  = interval 
arithematic possible
mean as measure of central tendency
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12
Q

define range

A

difference between top and bottom score

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13
Q

define variance

A

subtraction of each score from mean, squares added and divided by no. scored -1

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14
Q

box plot

A

summarise data on median and interquartile range containing 50% value

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15
Q

STDV

A

SQRT of variance - standardised measurement

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16
Q

STDERROR

A

STDV / SQRT of sample size

17
Q

confidence interval

A

95% CI to look at nromal distribution - 95% fall within +/-1.96 SD either side of the mean

18
Q

define the p value

A

probability that the observed difference between two sample means would have occured if both samples were randomly selected from the same population - probability of finding the observed data if the null hypothesis were true

small - reject null (p

19
Q

define type 1 error

A

probability that something is declared significant when NOT

20
Q

define type 2 error

A

probability that failed to reject null even though there is a real effect - two samples actually from different populations