4.3.1 Classification and Evolution – Statistical Analysis Flashcards

(15 cards)

1
Q

Why do we use statistical tests?

A

It can help to determine whether a difference that is observed is a significant difference or simply natural variation (chance).

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2
Q

What is the formula for Standard deviation?

A
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3
Q

What is the standard deviation?

A

It is a measure of variation. It measures the amount of variation of spread from the mean.

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4
Q

What does a low standard deviation indicate?

A

That the observed data has a narrow range and the points are closely grouped to the mean. The data will therefore be reliable.

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5
Q

What is this the formula for Paired t-test?

A
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6
Q

What is a null hypothesis?

A

A prediction that there is no statistically significant difference between the means of two sets of data.

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7
Q

What is the purpose of a student’s t-test?

A

It is used to compare two means to test whether there is a significant difference between them.

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8
Q

How do we determine whether our results of a t-test are significant?

A

We check our t-value against a table of t-values assigned at the 5% significance level based on the degrees of freedom for the data.

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9
Q

What does x̅ represent in equations?

A

The mean of a set of data.

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10
Q

A t-value that is greater than the 5% value indicates what?

A

That there is a significant difference between the two data sets at the 95% confidence limits.

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11
Q

If we had a t-value greater than the 5% value would we reject or accept the null hypothesis?

A

We would reject the null hypothesis.

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12
Q

What is the spearman rank correlation coefficient used for?

A

It is used to consider the relationship between two sets of data and whether they are correlated.

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13
Q

What is this the formula for Spearman’s rank?

A
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14
Q

What does the term ‘degrees of freedom’ mean?

A

The number of values in a calculation which are free to vary.

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15
Q

If you have ten results for each of two data sets what is the number of degrees of freedom?

A

(n1+n2) – 2 = 18

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