Given a 95% confidence interval why are we using 1. 96 and not 1. 64? The Z-score for 90% is -1 6444 and 1 6444 , 1 sigma The z-score for 95% is -1 96 and 1 96 , 2 sigma The z-score for 99% is -2 5758 and 2 5758 , 3 sigma in your Estimation of Population Mean meaning, that mean plus or minus 1 96 times its standard deviation gives 95% C I Errors distr estimation is considered to use t-distr with fatter tails than Normal distr , but with increasing size of
How do the definitions of irreducible and prime elements differ? You'll need to complete a few actions and gain 15 reputation points before being able to upvote Upvoting indicates when questions and answers are useful What's reputation and how do I get it? Instead, you can save this post to reference later
algebraic geometry - On an elliptic curve, canonical divisors and . . . You'll need to complete a few actions and gain 15 reputation points before being able to upvote Upvoting indicates when questions and answers are useful What's reputation and how do I get it? Instead, you can save this post to reference later
linear algebra - Determine if vectors are linearly independent . . . Firstly, you are to arrange the vectors in a matrix form the reduce them to a row-reduced echelon form (If the last row becomes all zeros then it is linearly dependent, but if the last row isn't all zeros then it is linearly independent) Let's get to it now Arranging the vectors in matrix form we have : \begin {bmatrix}2 2 0 \\ 1 -1 1 \\ 4 2 -2 \end {bmatrix} After the first
Are maximal subgraphs related with posets? - Mathematics Stack Exchange You'll need to complete a few actions and gain 15 reputation points before being able to upvote Upvoting indicates when questions and answers are useful What's reputation and how do I get it? Instead, you can save this post to reference later
What does versus mean in the context of a graph? I would agree with the rule " [dependent] versus [independent] " The word "versus" can mean "compared with," and it more frequently makes sense to compare a dependent value with its associated independent value, because well, the independent variable doesn't really "care" about the existence of the dependent variable, but the converse relationship is by definition