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Chapter 9 Key Ideas and Words Section 9.1 Point estimate o statistics vs. parameter 𝑥 o point estimate for population proportion p is ̂𝑝 = 𝑛 o p may also represent a probability of a binomial distribution, such as p=0.5 for a fair coin. Confidence interval for an unknown parameter Margin of error Interpretation of what is meant by being “95%” confident (think simulations Formula for confidence interval for population proportion, p. Know z-multipliers for 90%, 95%, and 99% confidence intervals. Requirements: Minimum sample size and sample size very small relative to population size. o np(1-p) >= 10 o n <= 0.05N, N=population size Calculating sample size to obtained desired margin of error E. o Using educated guess for population proportion. o Using p=0.5 for conservative (large) sample size. o Round up to nearest integer. Section 9.2 Point estimate for population mean is the sample mean Distribution of z-score for sample mean using sample standard deviation, S, instead of population standard deviation, 𝜎. Student’s t-distribution o Degrees-of-freedom o t-table t-distribution vs. standard normal (Z) distribution Formula for confidence interval for population mean 𝜇 How to calculate approximate sample size to get desired margin of error E. o Note: This calculated n is likely too small because z-value < t-value