In general, if someone did poorly on Exam 1, are they likely to have done poorly or well on Exam 2? 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