Faculty: Darin Kapanjie Tags: assumptions and conditionscentral limit theoremdistribution of sample proportionseffect of sample sizesampling distribution of the mean
Confidence Intervals for Proportions Total Running Time: 19:50 assumptions and conditions, certainty versus precision, margin of error Confidence Intervals for Proportions
Multiple Regression Total Running Time: 16:37 adjusted r squared, assumptions and conditions, f statistic, interpreting coefficients Multiple Regression
Sampling Distribution of Mean Total Running Time: 12:32 central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean Sampling Distribution of Mean
Sampling Distribution of the Mean Total Running Time: 06:11 central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean Sampling Distribution of the Mean
Sampling Theory Total Running Time: 18:40 calculating minimum required sample size, central limit theorem, confidence and precision, population and sampling frame, probability and nonprobability sampling, sample, sampling and nonsampling error Sampling Theory