statistical testing Flashcards

(22 cards)

1
Q

what does a low standard deviation indicate

A

greater precision in data collection

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2
Q

whats the formula for standard deviation and what does each bit mean

A

S= square root of= E(x_x-)^2 over n-1
x= individual value
x- = the mean value
n= number of data points

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3
Q

how many data points lie within one and two standard deviations of the mean

A

68% lie within one standard deviation
95% lie within two standard deviations

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4
Q

what is the spread

A

the mean +- standard deviation

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5
Q

what is data beyond two standard deviations classified as

A

anomalous

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6
Q

what can u use standard deviation for on a graph

A

error bars

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7
Q

what are error bars

A

-bars which are on either a bar or line graph
-they extend 1st above and below your mean
-the longer the bar, the more spread out data is from the mean

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8
Q

what is the t-test used for

A

identifying if there is a significant difference between two means

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9
Q

what does the t-test begin with

A

a null hypothesis that can later be accepted/rejected

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10
Q

what’s an unpaired t-test used for

A

if the data is not paired i.e. it doesn’t come from the same individual

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11
Q

what can you not say if you haven’t done a stats test

A

that there’s a “significant” difference

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12
Q

what do the different parts in an unpaired t-test mean

A

x- is the mean
s is the standard deviation
n is the number of data sets
the brackets are straight to show if there is a negative number u should ignore

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13
Q

steps to doing an unpaired t-test

A
  1. calculate standard deviation for each data set
  2. use the formula to calculate the t-value
  3. compare your t value to the value in the table of critical values using the correct degree of freedom
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14
Q

how to find the degree of freedom

A

sample size (of both data sets) - number of data sets (e.g. if A and B then its two)

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15
Q

when do u reject the null hypothesis

A

if t> critical value (t test)

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16
Q

when do you accept the null hypothesis

A

if t< critical value (t test)

17
Q

what does the 5% significance level actually mean

A

it means that the apparent difference between the two data sets is down to pure chance only 5% of the time

18
Q

what could you do to reach a more powerful conclusion

A

use a 1% or 0.5% significance level

19
Q

what does each part of the pared t test stand for

A

d- is the mean of differences
root n is square root of number of individuals
s is standard deviation

20
Q

when is the paired T-test used

A

if pairs of measurements are collected from the same individual

21
Q

steps of doing a paired T test

A

1) calculate the mean of differences in before and after data
2) calculate the standard deviation of the data
3) use the t-test formulae to calculate the T value
4) compare the value to one from critical value table using correct degree of freedom

22
Q

degree of freedom for paired T test

A

number of categories (e.g. number of individuals) minus one