Module 01 PowerPoint I
... Identifying Components of the Problem • Identify the population • Identify the sample • Identify the symbol for the parameter • Identify the symbol for the statistic ...
... Identifying Components of the Problem • Identify the population • Identify the sample • Identify the symbol for the parameter • Identify the symbol for the statistic ...
Statistical Analysis - Lincoln Park High School
... Answers the question: were the differences in the means large enough to reject the null hypothesis (and support the alternative hypothesis)? Tests the probability of observed differences being random and NOT due to the independent variable In the chi-square formula, the expected (e) values are those ...
... Answers the question: were the differences in the means large enough to reject the null hypothesis (and support the alternative hypothesis)? Tests the probability of observed differences being random and NOT due to the independent variable In the chi-square formula, the expected (e) values are those ...
A hospital administrator estimates the mean length of stay for all
... A hospital administrator estimates the mean length of stay for all inpatients is at least 5 days. We sampled 100 patients and we know that the standard deviation is 1.1 days. If we are testing the hypothesis H o : 5 H A : 5 ...
... A hospital administrator estimates the mean length of stay for all inpatients is at least 5 days. We sampled 100 patients and we know that the standard deviation is 1.1 days. If we are testing the hypothesis H o : 5 H A : 5 ...
6. Introduction to Regression and Correlation
... of association between two variables. Its range is -1 r +1. If r = -1, variables are perfectly negatively correlated, if r = 0 there is no correlation and if r = +1 the variables are perfectly positively correlated. It is very often computed at the same time as the regression line, but is not th ...
... of association between two variables. Its range is -1 r +1. If r = -1, variables are perfectly negatively correlated, if r = 0 there is no correlation and if r = +1 the variables are perfectly positively correlated. It is very often computed at the same time as the regression line, but is not th ...
