Stats Flashcards

(17 cards)

1
Q

What is meant by standard deviation?

A

A measure of the spread of data around the mean value. It gives a better idea of the range of values.

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2
Q

Overlap in standard deviations means

A

difference between means is insignificant

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3
Q

Uncertainty of a measuring instrument is

A

plus/minus half the resolution of the instrument

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4
Q

What is a reading?

A

A value found from an instrument using a single human judgement

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5
Q

What is a measurement?

A

A value taken using two judgements, leaving two uncertainties, e.g. using a ruler

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6
Q

Percentage uncertainty equation

A

(absolute uncertainty / value) x 100

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7
Q

Uncertainty of the mean =

A

plus/minus half the range of the measured values

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8
Q

When adding values…

A

Add the absolute uncertainties together

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9
Q

If multiplying/dividing values…

A

Add percentage uncertainties together

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10
Q

When using indices with a value…

A

Multiply the percentage uncertainty by the power

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11
Q

What does log(4834928) =6.684 tell us

A

That 10 to the power of 6.684 = 4834928

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12
Q

Percentage difference =

A

(difference / starting value) x100

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13
Q

A statistical test was used to assess the effectiveness of five different vaccines in protecting against the flu. What would be the null hypothesis?

A

There is no significant difference between the type of vaccine and the number of people who contracted the flu

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14
Q

Degrees of freedom for students t-test

A

(sample size of 1 - sample size of 2) - 2 or (n1 - n2) - 2

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15
Q

If the t value is greater than or equal to the value for p = 0.05

A

The probability that the difference between means is due to chance is less than 5% and we can reject the null hypothesis

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16
Q

If the t value is less than or equal to the value for p = 0.05

A

The probability that the difference between means is due to chance is greater than 5% and we can accept the null hypothesis

17
Q

How would you carry out a statistical test to determine whether the difference between means is significant (6)?

A
  1. Construct a null hypothesis
  2. Carry out a student’s t-test to compare means
  3. Calculate the degrees of freedom for your t value
  4. Use a critical value table to show p is less than or equal to 0.05
  5. Compare your calculated t value against a critical value table.
  6. If your t value is greater than or equal to the value on the critical value table, you can reject the null hypothesis