T - Tests Flashcards

1
Q

What is the T- Test used for?

A

Used to determine whether the mean for a sample differs significantly from:

  • Estimated population mean (hypothesised mean).
  • Mean of another sample drawn from the same population.
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2
Q

What are the two main values used in spirometry?

A

FEV1 = FORCED EXPIRATORY VOLUME IN ONE SECOND.
Volume of air exhale forcibly from the lungs in one second.
FVC = FORCED VITAL CAPACITY.
Volume of air exhaled from the lungs when you take a breath and blow all the way out.

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3
Q

Explain the key features of a normal distribution.

A
  • Bell - Shaped Curve.
  • Mean and Median are equal and located at the centre of the distribution.
  • Predictable percentage falls within the 1, 2 or 3 standard deviations of the mean.
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4
Q

What two measurements are used to judge a normal distribution curve?

A
  • Mean

- Standard Deviation

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5
Q

How can you tell something is LESS LIKELY to be normal for that population?

A

The more standard deviations a value is from the mean.

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6
Q

z = (x-u)/ sigma

Explain this equation.

A

Z score = single value.
X = Individual Score
U = Test Mean
Sigma = Test Standard Deviation.

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7
Q

What is statistical population?

A
  • Complete set of possible observations.

- Researchers must define the population they are interested in.

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8
Q

What is sample?

A

Set of observations taken from the population.

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9
Q

What does a good sample allow you to do?

A

Contains the information that allows you to make conclusions about the population.

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10
Q

What is a parameter?

A

Value / Characteristic of the whole population.

Usually fixed // maybe unknown or unknowable.

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11
Q

What is a statistic?

A

Value calculated from sample data. (ie: sample mean).
Value may vary between samples.
Is observable.

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12
Q

What is a point estimate?

A

Use of a sample statistic to estimate a population parameter.

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13
Q

How do you work out the standard error?

Also known as the standard deviation of sample means

A

standard deviation / square root of number of samples.

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14
Q

What happens as the n increases?

A

The standard deviation gets smaller.

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15
Q

What is a one sample test?

A

When a statistical test can tell whether a sample is different from a population.

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16
Q

What is the normal distribution?

A

The distribution of a parameter in a population.

17
Q

What is required to work out the z score?

A

The population mean and standard deviation.

18
Q

What is normally unknown / unknowable?

A

Mean and SD.

19
Q

What happens in a T - statistic where by the sample size increases?

A

Distributions get taller and thinner.

20
Q

When does the t distribution reach normal distribution?

A

Once the sample size exceeds 30.

21
Q

What does ā€˜vā€™ stand for?

A

Degrees of freedom.

22
Q

What is degrees of freedom?

A

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

23
Q

How do you work out the degrees of freedom?

A

Sample Size - 1