prob_distr
... is 1/10. She continues to buy them until she has won 3 times. X = the number of tickets she buys. 2 In Stat 200 last year, students were asked to rate how much they liked various kinds of music on a scale of 1 (don’t like at all) to 6 (like very much). Following is a probability distribution (with o ...
... is 1/10. She continues to buy them until she has won 3 times. X = the number of tickets she buys. 2 In Stat 200 last year, students were asked to rate how much they liked various kinds of music on a scale of 1 (don’t like at all) to 6 (like very much). Following is a probability distribution (with o ...
Fall 12, Final
... Scheffe, Tukey) using a=.1 and comment on your findings. e) (5 pts) Now conduct multiple comparisons between the cell means, for each gender by drugdose combination. Comment on your findings. Problem 4. (25 pts) Write an R function (call it whatever you want) that takes as argument an object x and a ...
... Scheffe, Tukey) using a=.1 and comment on your findings. e) (5 pts) Now conduct multiple comparisons between the cell means, for each gender by drugdose combination. Comment on your findings. Problem 4. (25 pts) Write an R function (call it whatever you want) that takes as argument an object x and a ...
Memoryless property of exponential random variables - STAT-LLC
... Memoryless property of exponential random variables. Resembles the memoryless property of geometric random variables. The idea is that we start with (and often use) the fact that, if X is exponential with E(X) = 1/λ, then P (X > a) = e−λa for a > 0. The idea of the memoryless properly, for example, ...
... Memoryless property of exponential random variables. Resembles the memoryless property of geometric random variables. The idea is that we start with (and often use) the fact that, if X is exponential with E(X) = 1/λ, then P (X > a) = e−λa for a > 0. The idea of the memoryless properly, for example, ...
SOLUTIONS ACTIVITY 5 - Penn State Department of Statistics
... Discrete. There are a small number of distinct possible outcomes (the ratings 1-6). b. What must be the value of the probability for X = 4 (the probability that rating equals 4)? Explain how you determined this. P(x=4) is 0.24 since all the probabilities need to add to 1. c. Determine E(X), the mean ...
... Discrete. There are a small number of distinct possible outcomes (the ratings 1-6). b. What must be the value of the probability for X = 4 (the probability that rating equals 4)? Explain how you determined this. P(x=4) is 0.24 since all the probabilities need to add to 1. c. Determine E(X), the mean ...
open pdf file
... Suppose a manufacturer makes two types of skis: a trick ski and a slalom ski. Suppose each trick ski requires 8 hours of design work and 4 hours of finishing. Each slalom ski requires 8 hours of design and 12 hours of finishing. Furthermore, the total number of hours allocated for design work is 160 ...
... Suppose a manufacturer makes two types of skis: a trick ski and a slalom ski. Suppose each trick ski requires 8 hours of design work and 4 hours of finishing. Each slalom ski requires 8 hours of design and 12 hours of finishing. Furthermore, the total number of hours allocated for design work is 160 ...