Processing Data Flashcards
How do you summarise data?
Find the mean and range.
What should you not include in range and mean?
Anomalous results.
What are descriptive statistics? give examples.
Describe patterns in data.
Mean, range and standard deviation.
Why is the standard deviation better than the range?
It tells you how values are spread out about the mean rather than just the total spread of data.
What does a small standard deviation mean?
It means the repeated results are similar and close to the mean.
More precise/accurate.
Why is calculating %’s good?
Helps you to compare amounts from samples of different sizes.
EXAMPLE.
In a DNA molecule containing 3000 bases, 900 of the bases are cytosine. What percentage are cytosine?
Divide 900 by 3000 = 0.30.
Multiply 0.30 by 100 = 30%
What is the formula for % change?
Percentage change = final value - original value divided by original value times by 100.
Positive value = increase.
Negative value = decrease.
Why is calculating % change good?
Helps to quantify how much something has changed.
EXAMPLE.
A person’s blood glucose concentration was 4.2 mmol dm-3 before a meal and 2 hours after the meal it was 6.5 mmol dm-3.
Calculate the 5 change.
6.5 - 4.2 divided by 4.2 times 100 = 55%
The person’s blood glucose was 55% higher after the meal.
Why can ratios be used?
To compare different types of quantities.
EXAMPLE.
Write the ratio 28 : 36 in the form X : 1.
Divide both sides by 36.
28 divided by 36 = 0.78.
36 divided by 36 = 1
So the ratio is 0.78 : 1
What is the first significant figure?
The first digit which isn’t a zero.
The 2nd, 3rd and 4th significant figures carry on immediately after the first even if they’re zeroes.
EXAMPLE.
Round 0.6874976 to 2 s.f and 3 s.f.
- 69 2s.f
0. 687 3s.f
What happens if the calculation involves numbers to different significant figures.
Always give your answer to the lowest number of significant figures used in the calculation.
This is because fewer digits a measurement has the less accurate it is. So your answer can only be as accurate as the least accurate measurement in calculation.