Mistaken poll A local TV station conducted a PulsePoll about the upcoming mayoral election. Evening news viewers were invited to phone in their votes, with the results to be announced on the late-night news. Based on the phone calls, the station predicted that Amabo would win the election with 52% of the vote. They were wrong: Amabo lost, getting only 46% of the vote. Do you think the stations faulty prediction is more likely to be a result of bias or sampling error? Explain

Lecture 8: Introduction to Inference and Understanding Sampling Distributions 9.1 Parameters, Statistics, and Statistical Inference - Some distinctions to keep in mind: ▯ Population versus Sample ▯ Parameter versus Statistic - Population: Parameter, population proportion, population mean - Sample: Sample mean, sample proportion, statistic Statistical Inference: - the use of sample data to make judgments or decisions about populations. Confidence Interval Estimation: - A confidence interval is a range of values that the researcher is fairly confident will cover the true, unknown value of the p