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### 20 Cards in this Set

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• Back
 What is the formula for sampling error? x bar - mean What are the properties of the Sampling Distribution? - Suppose all possible samples of size n are selected from a specified population, and the mean of each sample is computed. -The mean of all the sample means is exactly equal to the population mean -if the population from which the samples are drawn is normal, the distribution of the sample means is also normally distributed -if the population from which the samples are drawn is not normal, the sampling distribution is approximately normal if the samples are sufficiently large What is a Point Estimate? - a point estimate is a single statistic used to estimate a population parameter -be close to the population parameter What is the Confidence interval? - the range of values constructed from sample data so that the parameter occurs within that range at a specified probability Alpha is usually what? -.01, .05, and .10 - a number between 0 and 1 -Level of Significance What is the level of confidence formula? it is 1 - alpha - What is the relationships to the interval level and confidence level? Larger CL Wider Interval Smaller CL Smaller Interval What is the condition to use the z table or the t distribution? - sigma know than z tables - sigma unknown than t distribution What are the assumptions for z tables? -random sample -normality or large sample -variance or standard deviation of population is known How is lower bound shown? negative x bar in front of the formula How is upper bound shown? postive x bar in from of the z forumula What is the T distribution? -used when population standard deviation is not known - big S instead of the sigma What are the assumptions of the T distribution? -Random Sampling -Population is normal or near normal -Variance is Not known What are the characterisitics of a T distribution? -Continous Distribution -Bell Shaped -Symmetrical -Asymptotic -Mean of Zero -< sample size and > Standard Deviation the flatter the distribution What is the difference between t distribution and standard normal distribution? - wider tales - is flatter than normal distribution if the sample size is small What is the T distribution? -used when population standard deviation is not known - big S instead of the sigma What are the assumptions of the T distribution? -Random Sampling -Population is normal or near normal -Variance is Not known What are the characterisitics of a T distribution? -Continous Distribution -Bell Shaped -Symmetrical -Asymptotic -Mean of Zero -< sample size and > Standard Deviation the flatter the distribution What is the difference between t distribution and standard normal distribution? - wider tales - is flatter than normal distribution if the sample size is small What are the assumptions for a Confidence interval for a proportion? 1. Random Sampling 2. Population follows a binomial distribution 3. n * pi > 10 and n(1-pi)>10