Bernoulli experiment - Studienführer, Klassennotizen & Zusammenfassungen

Probability of an outcome Correct Answer probability of a particular outcome is the proportion of times that the outcome would occur in a long run of observations Trial Correct Answer Each simulated roll of a die, or any experiment being conducted Cumulative proportion Correct Answer At each value for the number of trials, found by after a certain number of trials, divide the number of outcomes at that stage by the number of trials. Independent Correct Answer Different trials of a rando...

To determine a Probability, we collect ____ from an Experiment to study the effects of a change. correct answers Data DEF: A scientific process in order to make a discovery, test a hypothesis, or investigate a known fact from historical data; Process that results in an outcome correct answers Experiment DEF: A collection of independent Experiments correct answers Trial The Probability of an Event is always between ____ and ____. correct answers 0 and 1 DEF: A number that measures th...

ISYE 6501 Midterm 2 Part 1 Latest 2023 Rated A greedy algorithm at each step, the algorithm does the thing that looks best without taking future options into consideration; more classical variable selection methods stepwise - (forward, backward, combination) lasso elastic net available metrics for variable selection criteria p-value r2 AIC / BIC lasso Giving regression a budget to use on coefficients which it uses on most important coefficients Have to scale first elastic net constrain combi...

What is a sample space the set of all possible outcomes outcome is the result of the experiment What is a trial Repetitionfrom a random experiment Random experiment Has outcomesthat we cannot predict Experiments involvechanceor random results Probability Refers to a numberthat indicates the degree of likelihood ... ◦that some future event will have a particular outcome Larger number -more likely Smaller number -less likely sample point Each elementof...

ISYE 6501 FINAL EXAM WITH COMPLETE SOLUTION 2022/2023 1. Factor Based Models: classification, clustering, regression. Implicitly assumed that we have a lot of factors in the final model 2. Why limit number of factors in a model? 2 reasons: overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects simplicity: simple models are usually better 3. Classical variable selection approaches: 1. Forward selection 2. Backwards eli...

Bernoulli Trial - An experiment in which there are exactly two possible outcomes Binomial distribution - A random variable X represents the number of successes observed from the n Bernoulli trials Binomial Parameters - n = number of trials p = probability of success q = 1-p Binomial probability function (f(x)) - E[X] binomial function - E[x] = np var(x) binomial function - var(x) = npq MGF binomial function - Additive property of binomial function - Sum of independent binomially dist...

it measures the uncertainty of a random variable. - ANSWER-Which of the following is true about variance? characterizes outcomes of a continuous random variable. - ANSWER-A probability density function: time-series - ANSWER-Regression models of ________ data focus on predicting the future. uses a panel of experts, whose identities are typically kept confidential from one another, to respond to a sequence of questionnaires. - ANSWER-The Delphi method used for forecasting: noted the co...

Econometrics Midterm & Final Exam Questions and answers Econometrics -Answer-The science of testing economic theories. Also it works as a set of tools used for forecasting future values of economic variables as well as being the process of fitting mathematical economic models to real world data. Econometrics uses historical data to make numerical, or quantitative, policy recommendations in government and business. Y-bar -Answer-The sampling average. It is an unbiased estimator for miuY, ...

Factor Based Models classification, clustering, regression. Implicitly assumed that we have a lot of factors in the final model Why limit number of factors in a model? 2 reasons overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects simplicity: simple models are usually better Classical variable selection approaches 1. Forward selection 2. Backwards elimination 3. Stepwise regression greedy algorithms Backward elimination...

If the process that generates the outcome is known, probabilities can be deduced from theoretical arguments; this is the? - ANSWERSClassical Probability Definition This is based on empirical data - ANSWERSRelative Frequency Definition of Probability This is based on judgement and experiences as sports experts might use to predict the probability of a specific team winning the championship - ANSWERSSubjective Definition of Probability This is a numerical description of an outcome of an e...