Discrete and Continuous Probability All probability distributions can be categorized as discrete probability distributions or as continuous probability distributions (stattrek.com). A random variable is represented by “x” and it is the result of the discrete or continuous probability. A discrete probability is a random variable that can either be a finite or infinite of countable numbers. For example‚ the number of people who are online at the same time taking a statistics class at CTU on a given
Premium Random variable Probability theory
Chapter 1 Nature of Probability and Statistics OBJECTIVES Demonstrate knowledge of statistical terms. Differentiate between the two branches of statistics. Identify types of data. Identify the measurement level for each variable. Identify the four basic sampling techniques. Explain the difference between an observational and an experimental study. Explain how statistics can be used and misused. Explain the importance of computers and calculators in statistics. Statistics is the science of conducting
Premium Scientific method Statistics
TLFeBOOK FUNDAMENTALS OF PROBABILITY AND STATISTICS FOR ENGINEERS T.T. Soong State University of New York at Buffalo‚ Buffalo‚ New York‚ USA TLFeBOOK TLFeBOOK FUNDAMENTALS OF PROBABILITY AND STATISTICS FOR ENGINEERS TLFeBOOK TLFeBOOK FUNDAMENTALS OF PROBABILITY AND STATISTICS FOR ENGINEERS T.T. Soong State University of New York at Buffalo‚ Buffalo‚ New York‚ USA TLFeBOOK Copyright 2004 John Wiley & Sons Ltd‚ The Atrium‚ Southern G ate‚ Chichester‚ West
Premium Probability theory Random variable Normal distribution
Business Statistics Chapter 5 Some Important Discrete Probability Distributions 5-1 Chapter Goals After completing this chapter‚ you should be able to: Interpret the mean and standard deviation for a discrete probability distribution Explain covariance and its application in finance Use the binomial probability distribution to find probabilities Describe when to apply the binomial distribution Use Poisson discrete probability distributions to find probabilities 5-2 Definitions Random
Premium Random variable Probability theory Binomial distribution
not = 440 Statistic 4.9 With 98% confidence Lower limit 3.05348411 Upper limit 24.7249703 With 98% confidence we cannot reject Ho since the statistic is inside the acceptance zone b) Check the same hypothesis with 95% confidence. With 95% confidence Lower limit 3.81574825 Upper limit 21.9200493 With 95% confidence we cannot reject Ho since the statistic is inside
Premium Normal distribution Variance Statistics
STAT 110 INTRODUCTION TO DESCRIPTIVE STATISTICS Fall‚ 2006 Lecture Notes Joshua M. Tebbs Department of Statistics The University of South Carolina TABLE OF CONTENTS STAT 110‚ J. TEBBS Contents 1 Where Do Data Come From? 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Individuals‚ variables‚ and data . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Observational studies . . . . . . . . . . . . . . . .
Premium Sampling Sample size Sample
Math – 213 Problem Set Solve each of the following problems. 1. A coin is tossed four times. What is the probability that at least 2 heads will occur? 2. A pair of dice is rolled. What is the probability that the sum is equal to the following? a. 5 b. 10 c. at most 9 d. at least 8 3. A chip is drawn at random from a jar containing 8 red‚ 2 blue‚ 3 green‚ 4 yellow‚ and 3 white chips. Determine the probability that it is: a. Red b. Yellow or red c. Not orange 4. In a graduating class of 300 students
Premium Random variable Probability theory Voter turnout
North Star Concert North Star.xls Best Guess‚ Worst Case‚ Best Case; and Continuous Uncertainties 3 Engine Services‚ Inc. Quick Start Guide to Crystal Ball Analyzing Uncertainty‚ Probability Distributions‚ and Simulation Learning Module: Crystal Ball Litigate Demo Engine Services.xls Language of Probability Distributions and Monte Carlo Simulation 4 Taurus Telecommunications Corporation: A New Prepaid Phone Card Learning Module: Tornado Sensitivity Taurus Telecommunications.xls Sensitivity Analysis
Premium Decision theory Risk Regression analysis
score. The Mean vs. the Median As measures of central tendency‚ the mean and the median each have advantages and disadvantages. Some pros and cons of each measure are summarized below. The median may be a better indicator of the most typical value if a set of scores has an outlier. An outlier is an extreme value that differs greatly from other values. However‚ when the sample size is large and does not include outliers‚ the mean score usually provides a better measure of central tendency. To illustrate
Premium Standard deviation Variance Random variable
EXERCISE IN STATISTICS Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each. 1. Are sex and occupation associated? 2. Are age and income correlated? 3. Are educational attainment and sex associated? 4. Are civil status and occupation associated? 5. Are occupation and income related N>E> you may use data transformation (from interval data to nominal data) Respondent No. Age Sex Civil Status Educational attainment
Premium Harshad number Chief executive officer Green Line