FlashKeepers

Statistics for Social Sciences · College · College and University

Social Science Stats: Interpreting Social Data

How to read and critique statistics reported in the news, including margin of error and sample size concerns.

About this set

30 basic cards for College Statistics for Social Sciences. Set 3 of 7 in Social Science Stats. It opens with "What does margin of error tell you in a news poll?" and "How does sample size affect margin of error?". Study it alongside the other College sets below.

30 cards · basic cards · AI-written, checked twice. Edit anything.

Study this set free Look inside first Get FlashKeepers for iPhone

Opens in your browser, no account. Get the iPhone and iPad app · Android app

What does margin of error tell you in a news poll?
Show answerIt shows the range around the reported percentage where the true value likely falls.
How does sample size affect margin of error?
Show answerLarger sample sizes produce smaller margins of error.
What is a confidence level in polling?
Show answerThe probability that the true value falls within the margin of error range, usually 95 percent.
Define correlation as reported in news.
Show answerA statistical relationship between two variables; does not prove one causes the other.
What is the key difference between correlation and causation?
Show answerCorrelation shows two things move together; causation means one directly causes the other.
What is a confounding variable?
Show answerA third variable that affects both variables being studied, creating a false appearance of correlation.
Explain what statistically significant means.
Show answerA result unlikely to occur by chance alone (usually p less than 0.05), but not necessarily important in practice.
How do leading questions affect survey results?
Show answerThey bias respondents toward a particular answer by how they are worded.
What is the base rate fallacy?
Show answerIgnoring how common something is in the population when interpreting new statistical information.
What does regression to the mean explain?
Show answerExtreme measurements tend to be closer to average on a second measurement, not due to treatment effects.
Define p-value in simple terms.
Show answerThe probability of seeing data this extreme or more extreme if the null hypothesis were true.
What is survivorship bias in statistical reporting?
Show answerOnly seeing successful cases while overlooking failed ones, creating misleading conclusions.
How can effect size differ from statistical significance?
Show answerA result can be statistically significant but have such a small effect size it is not practically important.
What is the Texas sharpshooter fallacy?
Show answerDrawing a target around existing data points and then claiming a pattern.
Explain Simpson's paradox.
Show answerA trend present in separate groups can reverse when groups are combined.

15 more cards in the app

Study this set free