Criado por jennabarnes12387
quase 11 anos atrás
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Questão | Responda |
what is P^? | values used to predict the structure of a graph that all lie on the bell curve distribution. they are known from the sample |
P^ values are used as estimate of u? How are some good and some bad? | only estimates that are near the center count as good. |
what is 1-alpha? | the confidence interval for u |
to find the probability that a value will be near u you need to find m. how do you do this? | P(u-m < x bar < u+m) = 1-alpha. subtract u from both sidesand divide each portion by sigma over square root of n. P(-m/sigma/square root of n < Z < m/sigma/square root of n)= 1- alpha. this is equal to - M = Za/2(sigma/ square root of n). this is only used when the sample is greater then 30 |
how do we find the probability for the values if the sample is less then 30? | X bar + or – ta/2 (sigma/ square root of n) |
how do you find the probability for graph with a confidence level of 95% | calculate the outter sections by finding alpha over 2 which gives you 0.005. add this to 0.99 to find the area of the main section. which is 0.995. use this value to find the z score and then plug in for Za/2 |
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