Stats Flashcards
(17 cards)
What is meant by standard deviation?
A measure of the spread of data around the mean value. It gives a better idea of the range of values.
Overlap in standard deviations means
difference between means is insignificant
Uncertainty of a measuring instrument is
plus/minus half the resolution of the instrument
What is a reading?
A value found from an instrument using a single human judgement
What is a measurement?
A value taken using two judgements, leaving two uncertainties, e.g. using a ruler
Percentage uncertainty equation
(absolute uncertainty / value) x 100
Uncertainty of the mean =
plus/minus half the range of the measured values
When adding values…
Add the absolute uncertainties together
If multiplying/dividing values…
Add percentage uncertainties together
When using indices with a value…
Multiply the percentage uncertainty by the power
What does log(4834928) =6.684 tell us
That 10 to the power of 6.684 = 4834928
Percentage difference =
(difference / starting value) x100
A statistical test was used to assess the effectiveness of five different vaccines in protecting against the flu. What would be the null hypothesis?
There is no significant difference between the type of vaccine and the number of people who contracted the flu
Degrees of freedom for students t-test
(sample size of 1 - sample size of 2) - 2 or (n1 - n2) - 2
If the t value is greater than or equal to the value for p = 0.05
The probability that the difference between means is due to chance is less than 5% and we can reject the null hypothesis
If the t value is less than or equal to the value for p = 0.05
The probability that the difference between means is due to chance is greater than 5% and we can accept the null hypothesis
How would you carry out a statistical test to determine whether the difference between means is significant (6)?
- Construct a null hypothesis
- Carry out a student’s t-test to compare means
- Calculate the degrees of freedom for your t value
- Use a critical value table to show p is less than or equal to 0.05
- Compare your calculated t value against a critical value table.
- If your t value is greater than or equal to the value on the critical value table, you can reject the null hypothesis