Sample-based inference and margin of error — Topic practice
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Question 1
Guide question E6A
In a simple random sample of 300 people from a population of 12,500, 96 use a service. All selected people respond. Estimate the number in the full population who use the service.
Enter an integer, decimal or fraction without units. Use up to 5 characters, or 6 including a leading minus.
Why this answer
Answer: 4,000
The estimated share is 96/300 = 0.32. Multiply by population size: 0.32(12,500) = 4,000. The result is an estimate, not a known exact count.
A population percentage is estimated as 47% ± 3 percentage points. Which statement is justified?
Why this answer
Answer: B
Subtract and add 3 percentage points to 47% to obtain [44%, 50%]. This interval does not establish a share strictly above 50%, and an interval endpoint is not an absolute logical limit on the unknown parameter.
For a supplied model E = k/, a sample of 400 gives margin of error 6. Keeping k fixed, what sample size gives margin of error 2?
Enter an integer, decimal or fraction without units. Use up to 5 characters, or 6 including a leading minus.
Why this answer
Answer: 3,600
The margin must be divided by 3, so the square root of sample size must be multiplied by 3. Sample size must therefore be multiplied by 32= 9:400(9) = 3,600. Equivalently, k = 6 = 120, and 2 = 120/ gives n = 602.
A reported 95% confidence interval for a population mean is [20, 24]. Which statement is correct?
Why this answer
Answer: C
The target is a population mean, not a collection of individual values. Under valid repeated sampling and the method’s assumptions, about 95% of intervals constructed this way would cover the fixed population mean. This particular interval either covers it or does not; coverage is not guaranteed.