20 easy SAT Inference from samples & margin of error questions

These are the questions most test-takers get right. They are worth practising anyway: on the digital SAT the easy questions in Module 1 are what route you into the harder, higher-scoring Module 2, so dropping one costs more than it looks.

Every question below is a real item from the SAT Climb bank, tagged easy by the same difficulty model the app uses to build your practice. Pick an answer before you open the explanation.

Math · Problem-Solving and Data Analysis~1 per testEasy tier
Question 1Easy

In a nationwide poll of 900 randomly selected adults, 42% indicated they use public transportation regularly, with a margin of error of 3.3 percentage points. A researcher claims that fewer than 40% of all adults use public transportation regularly. Is this claim supported by the poll results?

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Why A is right

The confidence interval is 42% plus or minus 3.3 percentage points, which gives a range of 38.7% to 45.3%. Since this interval includes values both below and above 40%, the poll results do not definitively support the claim that fewer than 40% use public transportation.

Why the others are wrong

  • BThis reasoning ignores the margin of error and only considers the point estimate.
  • CThe relevant comparison is whether 40% falls within the confidence interval, not whether the margin of error is less than the difference from the point estimate.
  • DA smaller sample size would increase the margin of error and widen the confidence interval, making it even less likely to support the claim.
Question 2Easy

A health organization randomly selected 320 registered voters from all registered voters in Lincoln County and surveyed them about their exercise habits. What is the largest population to which the results of this survey can be generalized?

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Why D is right

The sample was randomly selected from all registered voters in Lincoln County. With random sampling, results can be generalized to the population from which the sample was drawn, which is all registered voters in Lincoln County.

Why the others are wrong

  • AThis extends the population beyond the sampling frame. Not all adults in the county are registered voters, and the sample was drawn only from registered voters.
  • BThis overgeneralizes. The sample was drawn only from Lincoln County, not from the entire state.
  • CThis is too narrow. Random sampling allows generalization to the entire population from which the sample was drawn, not just the sample itself.
Question 3Easy

A poll of 900 randomly selected adults found that 38% prefer brand A over brand B, with a margin of error of±3of \pm 3 percentage points. If the sample size were increased to 3600 adults, which of the following best describes what would happen to the margin of error?

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Why B is right

The margin of error is inversely proportional to the square root of the sample size. Quadrupling the sample size from 900 to 3600 reduces the margin of error by a factor of 2, from ±3\pm 3 percentage points to approximately ±1.5\pm 1.5 percentage points.

Why the others are wrong

  • AThis incorrectly assumes the margin of error does not change with sample size.
  • CThis incorrectly suggests the margin of error increases when sample size increases, which is opposite to the true relationship.
  • DThis incorrectly applies a factor of 4 reduction instead of the correct factor of 2 based on the square root relationship.
Question 4Easy

A survey of 400 randomly selected voters found that 51% support Candidate A, with a margin of error of 5 percentage points. A second survey of 400 randomly selected voters found that 48% support Candidate B, with a margin of error of 5 percentage points. Which of the following conclusions is most appropriate?

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Why C is right

The confidence interval for Candidate A is 46% to 56%, and for Candidate B is 43% to 53%. These intervals overlap substantially from 46% to 53%, so we cannot determine which candidate has more support.

Why the others are wrong

  • AThis choice ignores the margins of error; the overlapping confidence intervals mean the 3 percentage point difference in sample values may not reflect a real difference in support.
  • BThis choice incorrectly concludes Candidate B has more support when Candidate A actually had a higher sample percentage, and the intervals overlap anyway.
  • DThis choice incorrectly suggests that increasing sample size would change which candidate has more support, when sample size only affects precision of estimates, not the underlying population values.
Question 5Easy

A political poll of 800 randomly selected likely voters found that 49% plan to vote for Candidate X, with a margin of error of±3.5of \pm 3.5 percentage points. Which of the following best describes what the margin of error represents?

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Why C is right

The margin of error of ±3.5\pm 3.5 percentage points means the confidence interval extends from 49%−3.5%=45.5%49\% - 3.5\% = 45.5\% to 49%+3.5%=52.5%49\% + 3.5\% = 52.5\%. The true population percentage is likely to fall within this range.

Why the others are wrong

  • AThe difference between the highest and lowest values in the confidence interval is twice the margin of error, or 7 percentage points.
  • BThis only considers the upper bound and ignores that the percentage could also be below 49%.
  • DWhile this statement about sample size is mathematically correct, it does not describe what the given margin of error represents.
Question 6Easy

A librarian randomly selected 225 members from all members of the downtown public library and surveyed them about their reading preferences. What is the largest population to which the results of this survey can be generalized?

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Why C is right

The sample was randomly selected from all members of the downtown public library. With random sampling, the results can be generalized to the population from which the sample was drawn, which is all members of that library.

Why the others are wrong

  • AThis undergeneralizes. Random sampling allows inference beyond just the sample to the entire population from which it was drawn.
  • BThis extends beyond the sampling frame. Not all downtown residents are library members, and the sample was drawn only from library members.
  • DThis overgeneralizes. The sample was drawn only from the downtown library, not from all public libraries in the city.
Question 7Easy

A polling organization surveyed 900 randomly selected adults and found that 48% favor a new policy, with a margin of error of 3 percentage points. A second survey of 225 randomly selected adults on the same policy would most likely have a margin of error closest to which of the following?

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Why D is right

The margin of error is inversely proportional to the square root of the sample size. Since 225 is one-fourth of 900, the square root of the sample size is halved, so the margin of error doubles from 3 to 6 percentage points.

Why the others are wrong

  • AThis incorrectly assumes that decreasing the sample size would decrease the margin of error, when in fact smaller samples have larger margins of error.
  • BThis incorrectly assumes the margin of error stays the same regardless of sample size changes.
  • CThis applies an incorrect scaling factor, possibly multiplying the original margin by 1.5 instead of using the inverse square root relationship.
Question 8Easy

A poll found that 72% of 1200 randomly selected adults support a new policy, with a margin of error of 3 percentage points. Another poll found that 68% of 1200 randomly selected adults from the same population support a different policy, with a margin of error of 3 percentage points. Based on these results, which of the following is true?

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Why C is right

The confidence interval for the new policy is 69% to 75%, and for the different policy is 65% to 71%. Since these intervals overlap from 69% to 71%, we cannot conclude which policy has more support.

Why the others are wrong

  • AThis choice ignores the margins of error; the overlapping confidence intervals mean the apparent 4 percentage point difference may not represent a real population difference.
  • BThis choice incorrectly concludes equal support when the sample percentages differ, and the confidence intervals suggest a range of possible relationships.
  • DThis choice incorrectly suggests that sample size affects the difference between population parameters, when it only affects the precision of the estimates.
Question 9Easy

A survey of 400 randomly selected voters found that 62% support a proposed ballot measure, with a margin of error of 5 percentage points. Based on this information, which of the following is most likely true about the percentage of all voters who support the measure?

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Why B is right

The margin of error of 5 percentage points means the true population percentage is likely within 5 percentage points above or below the sample percentage of 62%, giving a confidence interval from 57% to 67%.

Why the others are wrong

  • AThis incorrectly assumes the sample percentage equals the population percentage exactly, ignoring the margin of error that accounts for sampling variability.
  • CThis applies the margin of error in only one direction (downward) rather than both directions (±5 percentage points).
  • DThis incorrectly assumes that increasing the sample size would increase the margin of error, when in fact a larger sample size decreases the margin of error.
Question 10Easy

A researcher randomly selected 150 students from all students enrolled at Central High School and surveyed them about their study habits. What is the largest population to which the results of this survey can be generalized?

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Why A is right

The sample was randomly selected from all students enrolled at Central High School. Random sampling allows generalization to the population from which the sample was drawn, which is all students at Central High School.

Why the others are wrong

  • BThis overgeneralizes beyond the sampling frame. The sample was drawn only from Central High School, not from all high schools in the district.
  • CThis undergeneralizes. Random sampling allows inference beyond just the sample itself to the entire population from which it was drawn.
  • DThis overgeneralizes far beyond the sampling frame. The sample was drawn only from one specific high school.
Question 11Easy

In a survey of 2500 randomly selected residents, 33% indicated they support a proposed tax increase, with a margin of error of±2of \pm 2 percentage points. If researchers want to reduce the margin of error to±1to \pm 1 percentage point, approximately how many residents should be surveyed?

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Why B is right

To reduce the margin of error by half (from ±2\pm 2 to ±1\pm 1 percentage point), the sample size must be quadrupled. Since the original sample was 2500, the new sample should be 2500×4=100002500 \times 4 = 10000.

Why the others are wrong

  • AThis incorrectly assumes doubling the sample size would halve the margin of error, but the relationship involves the square root.
  • CThis incorrectly reduces the sample size, which would increase rather than decrease the margin of error.
  • DThis uses an incorrect multiplier and does not reflect the proper square root relationship between sample size and margin of error.
Question 12Easy

A survey of 2500 randomly selected households found that 38% own a pet, with a margin of error of 2 percentage points. Another survey of 2500 randomly selected households found that 42% recycle regularly, with a margin of error of 2 percentage points. Based on these results, which of the following statements is justified?

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Why C is right

The confidence interval for pet ownership is 36% to 40%, and for recycling is 40% to 44%. Since these intervals overlap at 40%, we cannot definitively conclude which percentage is higher in the population.

Why the others are wrong

  • AThis choice ignores the margins of error; the confidence intervals overlap, so the apparent difference may not reflect a real population difference.
  • BThis choice incorrectly assumes the two percentages are equal when their sample values differ by 4 percentage points, which could represent a real difference.
  • DThis choice incorrectly suggests that sample size affects the difference between two population parameters, when sample size only affects the precision of estimates.
Question 13Easy

A medical study surveyed 800 randomly selected patients and found that 55% experienced symptom improvement, with a margin of error of 3.5 percentage points. Based on this survey, what is the lowest percentage of all patients who might experience symptom improvement?

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Why A is right

The margin of error of 3.5 percentage points means the confidence interval extends 3.5 percentage points below and above the sample percentage. The lowest value is 55% minus 3.5%, which equals 51.5%.

Why the others are wrong

  • BThis gives only the sample percentage without accounting for the margin of error.
  • CThis incorrectly uses the margin of error itself as the answer rather than applying it to the sample percentage.
  • DIncreasing sample size would decrease the margin of error, making the confidence interval narrower and potentially raising the lowest percentage, but this does not answer the question about the current survey.
Question 14Easy

A school district randomly selected 340 parents from all parents of students enrolled in elementary schools in the district and surveyed them about after-school programs. What is the largest population to which the results of this survey can be generalized?

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Why B is right

The sample was randomly selected from all parents of students enrolled in elementary schools in the district. Random sampling allows generalization to the exact population from which the sample was drawn.

Why the others are wrong

  • AThis extends beyond the sampling frame. Not all parents in the district have children in elementary school, and the sample was drawn only from elementary school parents.
  • CThis overgeneralizes. The sample was drawn only from elementary school parents, not from parents of middle or high school students.
  • DThis is too narrow. Random sampling supports inference to the full population, not just the surveyed sample.
Question 15Easy

A survey of 400 randomly selected employees at a company found that 65% are satisfied with their work-life balance, with a margin of error of±5of \pm 5 percentage points. Another survey of 400 randomly selected employees at a different company found that 58% are satisfied with their work-life balance, with a margin of error of±5of \pm 5 percentage points. Based on these surveys, which of the following conclusions is most appropriate?

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Why B is right

The first company's confidence interval is 60% to 70%, and the second company's is 53% to 63%. These intervals overlap from 60% to 63%, suggesting the difference may not be statistically significant.

Why the others are wrong

  • AThis ignores the margins of error and makes a conclusion based solely on point estimates, which is not statistically rigorous.
  • CWhile the lower bound of the first company is 60%, the upper bound of the second company is 63%, and the overlapping ranges mean a definitive conclusion cannot be made.
  • DSurveys from different populations can be compared, especially when examining whether their confidence intervals overlap.
Question 16Easy

In a survey of 500 randomly selected employees, 62% reported being satisfied with their workplace, with a margin of error of 4 percentage points. A second survey of 500 randomly selected employees at a different company found that 59% were satisfied, also with a margin of error of 4 percentage points. Based on these surveys, which of the following is true?

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Why C is right

The first company has a confidence interval of 58% to 66%, and the second has an interval of 55% to 63%. These intervals overlap from 58% to 63%, meaning we cannot conclude that the companies truly differ in satisfaction rates.

Why the others are wrong

  • ABecause the confidence intervals overlap, we cannot definitively conclude that one company has higher satisfaction than the other.
  • BWhile the sample percentages differ by 3 percentage points, the margins of error mean the true population values could be closer or farther apart.
  • DIncreasing sample size would reduce margins of error but would not change the underlying satisfaction rates themselves.
Question 17Easy

A poll of 2500 randomly selected registered voters found that 41% plan to vote for Candidate X, with a margin of error of 2 percentage points. Based on this poll, which of the following is most likely true?

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Why B is right

The margin of error applies to the estimate of the population parameter, not the sample statistic. The confidence interval of 39% to 43% estimates where the true population percentage lies.

Why the others are wrong

  • AThe sample percentage is known to be exactly 41%; the margin of error describes uncertainty about the population, not the sample.
  • CThis ignores the margin of error and treats the sample result as an exact population value.
  • DReducing the sample size from 2500 to 625 (dividing by 4) would increase the margin of error by a factor of 2, not decrease it.
Question 18Easy

A university researcher randomly selected 200 faculty members from all faculty members at State University and asked them about their research funding. What is the largest population to which the results of this survey can be generalized?

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Why C is right

The sample was randomly selected from all faculty members at State University. Random sampling from a population allows the results to be generalized to that entire population, which is all faculty at State University.

Why the others are wrong

  • AThis extends beyond the sampling frame. The sample was drawn only from State University, not from all universities in the state.
  • BThis is too restrictive. Random sampling allows inference to the full population from which the sample was drawn, not just the sample itself.
  • DThis overgeneralizes beyond the sampling frame. The sample came only from one university.
Question 19Easy

A polling organization surveyed 900 adults and found that 38% approve of a policy proposal, with a margin of error of 3 percentage points. A second poll of 225 adults on the same proposal would most likely have which margin of error?

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Why D is right

The second poll has one-fourth the sample size of the first poll. Margin of error is inversely proportional to the square root of sample size, so reducing the sample size by a factor of 4 doubles the margin of error from 3 to 6 percentage points.

Why the others are wrong

  • AThis incorrectly assumes that reducing sample size decreases margin of error. Smaller samples produce larger margins of error.
  • BThis assumes margin of error stays constant regardless of sample size, which is incorrect.
  • CThis gives a confidence interval for the original poll rather than a margin of error for the second poll.
Question 20Easy

A survey of 400 randomly selected voters found that 52% support Proposition A, with a margin of error of 5 percentage points. Which of the following best describes what this margin of error means?

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Why A is right

The margin of error of 5 percentage points means the true population percentage is estimated to be within 5 percentage points above or below the sample percentage of 52%, giving a range from 47% to 57%.

Why the others are wrong

  • BThis choice only applies the margin of error in one direction (upward), missing the fact that the interval extends both above and below the sample percentage.
  • CThis choice reverses the relationship between sample size and margin of error; increasing the sample size decreases the margin of error, not increases it.
  • DThis choice confuses the margin of error with a probability statement about the confidence level, which is a different concept.

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