Me Myself and I Flashcards

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1
Q

What is the difference between samples and populations?

A

Samples are a subset of an entire population

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2
Q

What is sampling error?

A

Mistakes or random errors found within the sample making the sampling not representative of a population

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3
Q

How can sampling error arise?

A

Random variation/ misinterpretation/ sample size /

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4
Q

What is meant by a null hypothesise ?

A

A statement suggesting there is no relationship between the two variables.

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5
Q

What is meant by the alternative hypothesis?

A

Statement which opposes the null hypothesis and explains there is a relationship between two factors or variables.

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6
Q

What is the chi-squared test used for?

A

to find whether the difference between two variables is due to chance or is caused by something.

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7
Q

Describe the chi-squared test.

A

(sum of all observed values - sum of all expected values)^2 divided by expected

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8
Q

What is a biological parameter?

A

A way of measuring a biological component, e.g. Length/ mass…

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9
Q

What does the chi-squared test assume?

A

variables are categorised / observations are mutually exclusive and most expected values are greater than 5

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10
Q

What statistical test can be used for small samples in replacement of the chi-squared test?

A

Fisher test

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11
Q

What does the t-value tell us?

A

The size of difference between groups

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12
Q

What does the p-value tell us in a statistical test?

A

p<0.05 there is a statistical significance between the two values

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13
Q

What p-value do we need to reject the null hypothesis?

A

LOW P<0.05// As this tells us there is a significance between the data

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14
Q

What does the degrees of freedom tell us?

A

The number of independent variables involved in a test (1- number of variables)

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15
Q
A
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16
Q

What does a t-test measure?

A

If the mean of one group is statistically different from the mean of another group.

17
Q

What does standard error/ deviation tell us?

A

The variation between calculated mean of population and the actual

18
Q

What is the purpose of regression models?

A

To describe the relationship between a dependent and independent variable

19
Q

What are residuals?

A

The differences between observed values and those predicted by the regression line (line of best fit)

20
Q

What does the r^2 value tell us?

A

How ‘well’ the regression line represents the data

21
Q

What does the 95% coefficient tell us?

A

you are 95% confident in your data set

22
Q

What does a larger confidence interval suggest

A

There is a larger amount of uncertainty

23
Q

What is meant by a multivariate linear model?

A

measures multiple variables, to predict outcomes

24
Q

What is meant by longitudinal and cross-sectional data?

A

Longitudinal = data collected from following one individual over a period of time// cross -sectional= collected data from different individuals at one specific moment in time.