How Science Works Flashcards
Explain how choosing volunteers of a similar age improved an investigation.
Age affects the risk of disease
also it is a control variable
Describe how the student would show that reducing sugars were present in a
solution.
- Add Benedict’s;
- Heat;
- Red shows reducing sugar present;
how many variables/ conditions need to be studied before a conclusion can be made?
more than 2
How does severe diarrhoea (watery faeces) occur?
Lower water potential of intestine; Osmosis down a WP gradient; Less water reabsorbed
Explain how standard deviations of these
mean values would help you to interpret the data
- Standard deviation gives a measure of
spread/variation; - More standard deviations overlap, the less likely it is
that differences are
Explain how the standard deviation helps in the interpretation of data
- see spread of data
- Overlap = no difference and not significant;
- Low SD means results more reliable /
repeatable;
Why would experiments be repeated?
- to get concordant results
2. makes mean more reliable
Describe how you would use a 1.0 mol dm–3 solution of sucrose to produce 30 cm3 of a 0.15 mol dm–3 solution of sucrose.
Add 4.5 cm3 of 1.0 mol dm–3 solution to 25.5 cm3
(distilled) water;
0.15dm-3 x 100 = 15cm3
15% of 30 = 4.5
Suggest three reasons why the percentage of people vaccinated decreased between
- fewer cases of disease
- fear of side effects
- insufficient vaccine available
The percentage of the population vaccinated does not need to be 100% to be effective in preventing the spread of a disease. Suggest why
- more people immune o pathogen
2. so unvaccinated people are less likely to contact infected people
Explain why taking repeated readings increases the reliability of the results
- Allows for anomalies to be identified
- Allows a mean to be calculated
- Effect of variation in data to be minimised
Why would taking more readings improve the graph of the results?
- Line of best fit is more reliable
- Intercept of line is more reliable
Or..
- Can plot standard deviation bars
- To show the variance of the results