Cumulative Probability Distribution
... r.v. X takes on a given value x. What is the probability that a continuous r.v. takes on a specific value? E.g. Prob(X_light_bulb_fails = 3.14159265 hrs) = ?? ...
... r.v. X takes on a given value x. What is the probability that a continuous r.v. takes on a specific value? E.g. Prob(X_light_bulb_fails = 3.14159265 hrs) = ?? ...
Probability --
... r.v. X takes on a given value x. What is the probability that a continuous r.v. takes on a specific value? E.g. Prob(X_light_bulb_fails = 3.14159265 hrs) = ?? ...
... r.v. X takes on a given value x. What is the probability that a continuous r.v. takes on a specific value? E.g. Prob(X_light_bulb_fails = 3.14159265 hrs) = ?? ...
Confidence Intervals with σ unknown
... We will generally have some hypotheses about certain parameters of the population (or populations) from which our data arose, and we will be interested in using our data to see whether these hypotheses are consistent with what we have observed. To do this, we have already calculated confidence inter ...
... We will generally have some hypotheses about certain parameters of the population (or populations) from which our data arose, and we will be interested in using our data to see whether these hypotheses are consistent with what we have observed. To do this, we have already calculated confidence inter ...
01/22/2008
... we want to verify on the basis of information available from a sample. Test of hypothesis is a two-action decision problem after the sample values have been obtained, the two actions being the acceptance or rejection of the hypothesis under consideration. Null Hypothesis: The statement is being test ...
... we want to verify on the basis of information available from a sample. Test of hypothesis is a two-action decision problem after the sample values have been obtained, the two actions being the acceptance or rejection of the hypothesis under consideration. Null Hypothesis: The statement is being test ...
1.7 Conditional Probabiliity
... (i) Probabilities such as P(R1 ∩ R2 ), P(R2 |R1 ), P(R1 ∩ R2 ∩ R3 ), P(R3 |R2 ) etc. can be calculated using the standard results and by enumerating the outcomes at draws 1, 2, 3 etc. (ii) This approach cannot be used for the calculation of other probabilities after n draws, when n is not small. One ...
... (i) Probabilities such as P(R1 ∩ R2 ), P(R2 |R1 ), P(R1 ∩ R2 ∩ R3 ), P(R3 |R2 ) etc. can be calculated using the standard results and by enumerating the outcomes at draws 1, 2, 3 etc. (ii) This approach cannot be used for the calculation of other probabilities after n draws, when n is not small. One ...