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Type I and type II errors
When testing hypothesis (H0) and deciding to either reject or accept a null hypothesis, there are four possible happenings.
a) Acceptance of a true hypothesis as correct decision - accepting the null hypothesis and it occurs to be the correct decision. Note that statistics does not provide absolute information; hence its conclusion could be wrong only that the probability of it being right is high.
b) Rejection of a false hypothesis as correct decision.
c) Rejection of a true hypothesis - (incorrect decision) - it is called type I error, along with probability = α.
d) Acceptance of a false hypothesis - (incorrect decision) - it is called type II error, along with probability = β.
Three mixtures were prepared with very narrow molar mass distribution polyisoprene samples with molar masses of 8000, 25,000, and 100,000 as indicated below. (a) Equal numbers o
how to simplify an expression which has different signs
To find out the perimeter of a triangular region, what formula would you use? The perimeter of a triangle is length of surface a plus length of side b plus length of side c.
what is a liter
f(x)+f(x+1/2) =1 f(x)=1-f(x+1/2) 0∫2f(x)dx=0∫21-f(x+1/2)dx 0∫2f(x)dx=2-0∫2f(x+1/2)dx take (x+1/2)=v dx=dv 0∫2f(v)dv=2-0∫2f(v)dv 2(0∫2f(v)dv)=2 0∫2f(v)dv=1 0∫2f(x)dx=1
21-83/4
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Binomial Mathematical Properties 1. The expected or mean value = n × p = np Whereas; n = Sample Size p = Probability of success 2. The variance = npq Whereas; q =
Consider R be a relation from A to B, that is, take R A Χ B. Then Domain R = {a: a € A, (a, b) € R for any b € B} i.e. domain of R is the set of all the first components of
A function is a relation for which each of the value from the set the first components of the ordered pairs is related with exactly one value from the set of second components of t
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