Lesson 1.3.1
1.3.1 Interpreting illness and mortality data Quiz: Pearson Edexcel Biology, Unit 1
20 questions
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Lesson 1.3.1, Interpreting illness and mortality data: 20 multiple choice questions for the Pearson Edexcel Biology (9BI0), Unit 1: Lifestyle, Health and Risk, written with Revision Ninja.
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The 20 questions
-
What is the mortality rate per 100 000 people if 250 deaths occur in a population of 500 000 people over one year?
- 50 deaths per 100 000 people
- 5 deaths per 100 000 people
- 500 deaths per 100 000 people
- 250 deaths per 100 000 people
-
Which measure gives the proportion of a population that has a disease at a given time?
- Relative risk
- Incidence
- Mortality rate
- Prevalence
-
Which measure counts the number of new cases of a disease arising in a population over a set period?
- Survival rate
- Prevalence
- Incidence
- Odds ratio
-
Why are age-standardised death rates used to compare mortality in different populations?
- Measure life expectancy
- Increase sample size
- Adjust for age
- Eliminate sample bias
-
A town has 20 000 people, and 60 people die of CVD in a year. What is the CVD mortality rate per 100 000 people?
- 30 per 100 000
- 60 per 100 000
- 300 per 100 000
- 3000 per 100 000
-
What type of variable is hot weather when ice cream sales correlate with drowning deaths?
- Control variable
- Independent variable
- Confounding variable
- Dependent variable
-
What does a positive correlation between two measured variables indicate?
- No relationship exists
- One increases one decreases
- Both increase together
- Both decrease together
-
What does a negative correlation between fruit intake and blood pressure show?
- Positive relationship
- No correlation
- Direct cause
- Inverse relationship
-
Why might two separate epidemiological studies on the same risk factor produce conflicting results?
- Same target population
- Identical methodology
- Different sample sizes
- Controlled genetics
-
A cohort of 10 000 people is followed for ten years. Of the 2000 people who smoke, 300 develop lung disease, compared with 200 of the 8000 non-smokers. What is the approximate relative risk for smokers?
- About 6
- About 1.5
- About 10
- About 0.2
-
Which term describes a variable that is associated with both the risk factor and the disease, and so can give a false impression of a causal link?
- Control variable
- Confounding variable
- Dependent variable
- Independent variable
-
Why does a statistical correlation between a risk factor and disease not prove causation?
- Confounding factors exist
- Sample size is large
- Data is quantitative
- Variables are continuous
-
Which type of evidence provides the strongest support for a causal relationship?
- Controlled intervention trial
- Anecdotal report
- Cross-sectional survey
- Single case study
-
A population of 5 million has 800 deaths. What is the crude death rate per 100 000?
- 16
- 12
- 20
- 8
-
Why might recorded disease mortality rise without a true increase in incidence?
- Decreased population size
- Increased life expectancy
- Lower reporting standards
- Improved diagnosis methods
-
What does a relative risk value greater than 1 indicate for an exposed group?
- Lower risk
- Zero risk
- No risk difference
- Higher risk
-
What missing information prevents a fair comparison of crude death rates between two countries?
- Age structure
- Total population
- Geographic area
- Currency value
-
A study reports that 15% of people with high LDL cholesterol had a heart attack, compared with 5% of people with normal LDL. What is the absolute difference in risk?
- 3 percentage points
- 15 percentage points
- 300 percentage points
- 10 percentage points
-
What do confidence intervals show when presented alongside a risk estimate?
- Statistical significance only
- Precision of estimate
- Causal proof
- Sample selection bias
-
Which study design provides the weakest evidence for establishing a causal link?
- Cross-sectional survey
- Longitudinal study
- Prospective cohort study
- Randomised controlled trial
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