Statistical Tests Flashcards

1
Q

What is a sample?

A

A portion of the population being studied. (subset)

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2
Q

Process of obtaining sample from the population

A

Sampling

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3
Q

Differences between sample and population

A

Sample error. Frequency distribution of different samples AND the original population are not the same.

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4
Q

Frequency distribution

A

Distribution of certain characteristics in a sample
Eg colour of jellybabies

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5
Q

What type of test can be used to show that results are not or are due to sample error?

A

Chi squared - not just a chance result/due to sample error. Something of biological interest is going on

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6
Q

Formula for calculating standard error

A

Sy = s / √n

s=standard deviation
n=sample size

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7
Q

Confidence interval

A

+/- Sy
A range of values that is likely to include a population value

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8
Q

Lower confidence limit

A

mean - tSy
degrees of freedom for t = n -1

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8
Q

Upper confidence limit

A

mean + tSy
degrees of freedom for t = n -1

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9
Q

95% confidence is

A

0.05 critical significance level

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10
Q

Finding t for the confidence limit

A

Find critical significance level using % level of confidence
Degrees of freedom = n - 1

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11
Q

Calculating Sample Varience

A

Square of Standard deviation

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12
Q

When can varience be used?

A

When the data is taken from an entire population

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12
Q

Process of finding variance

A

Sum of the difference between each of the data points and the mean squared. Take the average of that.

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13
Q

Standard error of the mean

A

SE/SEM = SD/√n

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