statistical testing Flashcards

1
Q

define statistical testing

A

used to establish if a significant difference or correlation exists

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2
Q

what descriptive statistics show

A

allows us to summarise quantitative data

tables, charts as well as a measure central tendency and dispersion to identify trends and analyse data

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3
Q

what are the 3types of central tendency

A

mean
median
mode

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4
Q

what are the 2 measures of dispersion

A

range
standard deviation

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5
Q

what correlation coefficient is associated with a significant difference

A

0.8

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6
Q

what 3 factors does the choosing of a statistical test depend on

A
  • difference or a correlation
    ( if study is looking for a relationship/association/ done on a scatter gram = correlation
    if you can establish IV and DV will be a test for difference)
  • check on experimental design
    ( unrelated design - independent groups
    related design - matched pairs, repeated measures)
  • types/ levels of data
    ( ordinal, interval, nominal)
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7
Q

define an alternative hypothesis

A

a hypothesis stating we expect to find a difference or a relationship

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8
Q

define null hypothesis

A

states there will be no difference or correlation

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9
Q

give the 3 levels of measurement

A

nominal data
ordinal data
interval data

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10
Q

define nominal data

A

level of measurement where data are in seperate categories

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11
Q

define ordinal data

A

level of measurement where data are ordered (e.g: highest to lowest)

IN STEM WILL REFERENCE RANK or SCALE

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12
Q

if the level of measurement is ordinal what will it reference in the stem

A

scale
rank

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13
Q

define interval data

A

level of measurement where units of equal intervals are used

HAS TO BE CALIBRATED/UNIVERSAL

(e.g: time, weight, height in cm)

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14
Q

for the level of measurement to be interval what are you looking for in the stem

A

a calibrated/ universal measurement

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15
Q

what is the probability level in psychology

A

0.05

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16
Q

what is the results from conducting a statistical test called

A

the observed/ calculated value

17
Q

what are the 4 steps to finding the right critical value

A
  1. pick a stats test
  2. 1 or 2 tailed hypothesis
  3. what P level are you testing at 0.05
  4. how many participants/degrees of freedom do you have
18
Q

what does P ≤ 0.05 mean

A

less than or equal to 5% probability that the results have occurred due to chance

19
Q

what are the 2 justifications for changing the P level

A
  1. the first test at 0.05 level doesn’t produce significant results

SO use a LENIENT LEVEL like 0.10

  1. make it a more STRINGENT TEST at 0.01 (1%) level in DRUG trials to make sure results are due to drugs