Notes from Lecture 13
... We hypothesize that IMF loans cause more political instability. H0 for our regression slope = 0. HA 0. We calculate a regression line. The slope coefficient on IMF loans is 2, with a standard error of 1. Our test statistic is a t score. It is known as a t-ratio since it boils down to just the coeff ...
... We hypothesize that IMF loans cause more political instability. H0 for our regression slope = 0. HA 0. We calculate a regression line. The slope coefficient on IMF loans is 2, with a standard error of 1. Our test statistic is a t score. It is known as a t-ratio since it boils down to just the coeff ...
Lecture 18 - One sample t-test and inference for the... mean Previously we have introduced estimation, confidence intervals and
... Margin of error and sample size calculations The terms on the right of the ± is called the margin of error. This is usually defined as a half width of the confidence interval. We can set this to be a certain value and determine how many samples we would need to achieve this. For instance if in the ...
... Margin of error and sample size calculations The terms on the right of the ± is called the margin of error. This is usually defined as a half width of the confidence interval. We can set this to be a certain value and determine how many samples we would need to achieve this. For instance if in the ...
here - Bioinformatics Shared Resource Homepage
... If p-value > α, fail to reject the null hypothesis If p-value < α, reject null hypothesis and favor alternative hypothesis ...
... If p-value > α, fail to reject the null hypothesis If p-value < α, reject null hypothesis and favor alternative hypothesis ...
File
... sample measured at two different points in time. The classic example is BEFORE and AFTER observations on subjects in an experiment. Here the two sets of observations are RELATED rather than independent. These are called paired samples. Once again, a different type of t-test must be used. ...
... sample measured at two different points in time. The classic example is BEFORE and AFTER observations on subjects in an experiment. Here the two sets of observations are RELATED rather than independent. These are called paired samples. Once again, a different type of t-test must be used. ...
