Statistics Flashcards

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1
Q

What is the main objective of statistical tests?

A

To determine whether a set of data differs significantly from outcomes that may be produced by chance

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2
Q

What is a null hypothesis?

A

States there will be no significant difference / correlation between variables.

Investigations aim to disprove the null hypothesis

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3
Q

What is a significant difference / correlation?

A

One unlikely to have occurred due to chance.

Works on a significance level (probability it is due to chance) - usually 0.05.

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4
Q

How would you determine which statistical test to use?

A
  • If you are collecting frequencies (counting number of individuals in categories), use the Chi-Squared test
  • If collecting measurements, are you looking for correlations or differences between means?
  • If looking for a correlation between variables of the same sample, use the Correlation coefficient test
  • If looking for differences between two means, use the Student-t-test
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5
Q

What is the Student-t-test?

A

Determines if there is a significant difference between means of sets of measured data.

The number of subjects doesn’t need to be the same in each sample, but should be at least 15

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6
Q

How do you calculate degrees of freedom for the student-t-test?

A

(n1-1) + (n2-1)

where n1 is the number of subjects in sample one and n2 is the number of subjects in sample two

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7
Q

Describe what the Spearman’s rank correlation coefficient values mean?

A

1 = a strong positive correlation
-1 = a strong negative correlation
0 = no correlation

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8
Q

Describe the correlation coefficient graphs

A

A value of 1: y = x

A value of -1: a negative line in the positive quadrant

A value of 0: a horizontal line in the positive quadrant

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9
Q

What is the Chi-squared test?

A

Looks at differences in frequencies between groups / categories and determines whether they are statistically different to what you would expect.

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10
Q

Give the structure of a biological conclusion

A
  • The test statistic is (less/more) than the critical value
  • We (accept/reject) the null hypothesis
  • There is a (more/less) than 0.05 probability the difference is due to chance.
  • There (is not/is) a significant difference/correlation between (x) and (y)
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