Statisitcal Skills Flashcards

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1
Q

How to work out standard deviation

A

First value-mean of data squared (do this for each value in the set) / no. of sets of data -1
- square root entire fraction

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2
Q

What does standard deviation tell us

A

To what extend does each piece of data deviate from the mean

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3
Q

In standard deviation what does the size of the bars tell us

A

The reliability of the mean

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4
Q

Is a smaller or a larger standard deviation bar more reliable

A

A smaller SD bar is more reliable

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5
Q

what results are most accurate

A

ones with little variation

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6
Q

to what dp do you answer standard deviation

A

1d.p

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7
Q

what can we conclude if standard deviation bars of different sets of data overlap

A

that there is not a significant difference between the means of the data (eg. cannot conclude X is more effective than Y)

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8
Q

what can we conclude if standard deviation bars of different sets of data don’t overlap

A

there is a significant difference between the means of the data (eg. can conclude X is more effective than Y

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9
Q

what is the P value

A

the probability of a result occuring by chance

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10
Q

what does p<0.05 mean

A

there is less than a 5% probability the results are obtained by chance, therefore it is significant

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11
Q

what probability is required for data to be statistically significant

A

p<0.05

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12
Q

what does p<0.5 mean

A

there is less than a 50% probability that results are obtained by chance, therefore it is not significant (probability of getting a result by chance is greater than 5%)

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13
Q

what significance is p<0.01

A

highly significant

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14
Q

what are the three statistical tests

A

student t-test
Chi^2
spearmans rank

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15
Q

what value does a t-test produce

A

t-value

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16
Q

what value does Chi^2 produce

A

X^2

17
Q

what value does spearmans rank produce

A

r value

18
Q

when do we use a student t-test

A

when comparing 2 sampled means (means generated from 2 samples of data)

19
Q

when do we use Chi^2

A

when dealing with categorical data (e.g. dry dark/ dry light/ wet dark/ wet light)

20
Q

when do we use spearmans rank

A

when finding correlations between two seperate variables (e.g. amount of milk drunk/height of person)

21
Q

describe how to carry out a student t-test

A
  1. obtain two sets of data (describe means of what, what is used to measure, is there enough measured to ‘represent the population’)
  2. create a null hypothesis
  3. -work out normal distribution (e.g. through a bar chart)
    -work out means of data and standard deviation
    -calculate t-value
  4. work out critical value using p=0.05 unless stated otherwise
    - calculate degrees of freedom (n1-1)+(n2-1)
    - n1= no of sets of the first data
  5. closing comment
    - is t value greater or lesser than critical value at p=0.05
    - so is there a less than 5% chance the results are obtained by chance
    - so is there a significant difference between the two means
    - finally can we reject the null hypothesis
22
Q

what is the closing comment in a t-test if t value (4.0) is more than critical value and p=0.05

A
  • the t-value of 4.0 is greater than the critical value of 2.08 at p=0.05
  • there is a less than 5% probability that the result is obtained by chance
  • so there is a significant difference between the means of….
  • so we can reject the null hypothesis