Stats 151 - Random Variables and Probability Mas Function

Description

Chemistry 101 Stats 151 Flashcards on Stats 151 - Random Variables and Probability Mas Function, created by jennabarnes12387 on 29/01/2014.
jennabarnes12387
Flashcards by jennabarnes12387, updated more than 1 year ago
jennabarnes12387
Created by jennabarnes12387 almost 11 years ago
28
1

Resource summary

Question Answer
What is a Random Variable? a function of X that associates an unique numerical value with each outcome in the sample (S) e.g. if you toss a coin 2 times, HH = 1, HT = 0, TT = 2, TH = 0
Do the outcomes in a sample have to be numerical? no. all outcomes will be converted into numbers but they don't have to be numbers to start.
what is a discrete random variable? the values are discrete meaning that in an isolated area of a number line. e.g. number of siblings in a family can go on forever, but number of boys in a family with 3 children is discrete as there are only 4 possible outcomes; 0, 1, 2, or 3
What is a continuous random variable? the values of x cannot be counted because they can go on forever or are to large. e.g. waiting time at a clinic can technically go on forever
what is the probability distribution of x? a list of the values of x and there probability.
how do you find the probability of an event? sum up all the Pi.
the probability that a sales man will sell 0 item is 0.20, 1 is 0.35, 2 0.15, 3 is 0.12, 4 is 0.10, 5 is 0.05, and 6 is 0.03. what is the probability they will sell at least 3 items? P(X>3) = 0.12 + 0.10 + 0.05 + 0.03 = 0.30
At most 3 items? P(X<3) = 0.20 + 0.35 + 0.15 + 0.12 = 0.82
Between 2 and 4? P(2 < x < 4) = 0.15 + 0.12 + 0.10 = 0.37
Show full summary Hide full summary

Similar

Statistics 151 - Data Collection
jennabarnes12387
Statistics 151 - Qualitative Con. and Quantitative Data
jennabarnes12387
Stats 151 - Z-Scores
jennabarnes12387
Stats 151 - Mean, Standard Deviation, and Empire Rule for Random Variables and Binomial Distribution
jennabarnes12387
Stats 151 - Range, 68-95-99.7 rule, Chebychev's rule, and percentiles
jennabarnes12387
Stats 151 - Predicting Outcomes with Probability
jennabarnes12387
Stats 151 - Assigning Probability to Events
jennabarnes12387
Stats 151 - Probability rules and the counting rule
jennabarnes12387
Stats 151 - Representation of Continuous Random Data
jennabarnes12387
Stats 151 - Normal Curve Z Scores and Probability
jennabarnes12387
Stats 151 - Estimating population mean from sample mean
jennabarnes12387