No Slide Title
... Distinguish between a discrete and continuous probability distributions. Calculate the mean, variance, and standard deviation of a discrete probability distribution. Describe the characteristics and compute probabilities using the binomial probability distribution. Describe the characteristics and c ...
... Distinguish between a discrete and continuous probability distributions. Calculate the mean, variance, and standard deviation of a discrete probability distribution. Describe the characteristics and compute probabilities using the binomial probability distribution. Describe the characteristics and c ...
Test Solutions - Trent University
... an arrangement that has book number 2 somewhere to the right of book number 1 by simply swapping the books, and vice versa. Since every arrangement has to have book number 2 on one side or the other of book number 1, it follows that there are just as many arrangments that have book number 2 somewher ...
... an arrangement that has book number 2 somewhere to the right of book number 1 by simply swapping the books, and vice versa. Since every arrangement has to have book number 2 on one side or the other of book number 1, it follows that there are just as many arrangments that have book number 2 somewher ...
Random Variables
... table or rule that assigns probabilities to possible values of X. Cumulative distribution function (cdf) is a rule or table that provides P(X ≤ k) for every real number k. (More useful for continuous random variables than for discrete, as we will see.) NOTE: Sometimes the probabilities are given or ...
... table or rule that assigns probabilities to possible values of X. Cumulative distribution function (cdf) is a rule or table that provides P(X ≤ k) for every real number k. (More useful for continuous random variables than for discrete, as we will see.) NOTE: Sometimes the probabilities are given or ...
printable version
... (1) descriptive statistics, which introduces graphical presentations of data and measures of data sets, such as the mean and the standard deviation, (2) probability theory, which tries to quantify how likely events are to occur, and (3) inferential statistics, in which data collected from subgroups ...
... (1) descriptive statistics, which introduces graphical presentations of data and measures of data sets, such as the mean and the standard deviation, (2) probability theory, which tries to quantify how likely events are to occur, and (3) inferential statistics, in which data collected from subgroups ...
Extra Problems.
... This completes the induction. 7. A couple decides to stop having children as soon as they get (1) one boy and one girl or (2) four kids in total. Suppose the probability of a child being a boy is p and a girl is q = 1 − p. Genders of successive children are independent of each other. (a). What is a ...
... This completes the induction. 7. A couple decides to stop having children as soon as they get (1) one boy and one girl or (2) four kids in total. Suppose the probability of a child being a boy is p and a girl is q = 1 − p. Genders of successive children are independent of each other. (a). What is a ...
A.1 Finite Probability Spaces
... All events with null probability are called negligible events. Note that, in case (⌦, F, P) was not complete, we could always extend it to a probability space (⌦, F̄, P̄) that includes the negligible sets in the following way: denote N := {A ⇢ E | E 2 F, P(E) = 0} and let F̄ be the smallest ...
... All events with null probability are called negligible events. Note that, in case (⌦, F, P) was not complete, we could always extend it to a probability space (⌦, F̄, P̄) that includes the negligible sets in the following way: denote N := {A ⇢ E | E 2 F, P(E) = 0} and let F̄ be the smallest ...
Supplementary Note (Ch3)
... values either constitute a finite set or else can be listed in an infinite sequence in which there is a first element, a second element, and so on. ex) Examples in the previous page. ...
... values either constitute a finite set or else can be listed in an infinite sequence in which there is a first element, a second element, and so on. ex) Examples in the previous page. ...
Logic based systems
... facts are collected (deductive inference determines if a sentence is true but would never change its truth value) – Some hypotheses may be discarded, and new ones may be formed when new observations are made ...
... facts are collected (deductive inference determines if a sentence is true but would never change its truth value) – Some hypotheses may be discarded, and new ones may be formed when new observations are made ...
Document
... • Describe the conditions that need to be present to have a binomial setting. • Define a binomial distribution. • Explain when it might be all right to assume a binomial setting even though the independence condition is not satisfied. • Explain what is meant by the sampling distribution of a count. ...
... • Describe the conditions that need to be present to have a binomial setting. • Define a binomial distribution. • Explain when it might be all right to assume a binomial setting even though the independence condition is not satisfied. • Explain what is meant by the sampling distribution of a count. ...