Chapter Seven - Samples, Sampling Distributions, and Confidence Intervals

• Define a sampling distribution and a ampling distribution of the mean
• Describe the Central Limit Theorem
• Describe the effect of N (sample size) on the standard error of the mean
• Use the z-score formaula to find the probability that a sample mean or one more extreme was drawn form a population with a specified mean
• Describe the conceopt of a confidence interval
• Describe the t distribution
• Know when to use the normal distribution and when to use the t distribution and write an interpretation
• Define a random sample and pbtain one if you are given a population
• Define and indentify biased sampling methods

• The Sampling Distribution of the Mean
• The Central Limit Theorem
• An Application of the Cental Limit Theorem
• Categories of Inferential Statistics
• Confidence Intervals
• Random Samples
• Biased Samples
• Research Samples
• A Sampleing Distribution When o is Unknown
• The t Distribution
• When to Use the Normal Curve and When to Use the t Distribution
• Transition Page 159