Probability Concepts 1. Fundamental Concepts of Probability 2. Mutually Exclusive and Collectively Exhaustive 3. Statistically Independent and Dependent Events 4. Bayes’Theorem Learning Objectives • Understand the basic foundations of probability analysis • Learn the probability rules for conditional probability and joint probability • Use Bayes’ theorem to establish posterior probabilities Reference: Text Chapter 2 Introduction • Life is uncertain; we are note sure what the
Premium Conditional probability Probability theory
Sampling and Data Collection Plan QNT/561 Sampling and Data Collection Plan Newshore Medical Center is a manufacturer of pharmaceutical products that sells products to medical facilities throughout the United States. Our products encompass all aspects of life‚ from newborns to aging adults. Newshore Medical Center manufactures products from nutrition‚ medical supplies‚ and pharmaceuticals. The company recently incorporated a new division to manufacture diagnostic products. The goals
Premium New England Customer service Massachusetts
MGT 601: Statistical Inference Lecture 03 Dr. MUMTAZ AHMED Objectives of Current Lecture In the current lecture: Introduction to Probability Definition and Basic concepts of probability Some basic questions related to probability Laws of probability Conditional probability Independent and Dependent Events Related Examples 2 Probability Probability (or likelihood) is a measure or estimation of how likely it is that something will happen or that a statement is true. For example
Premium Probability theory
Audit Sampling Using Statistical Methods Presented By: Abhishek Agrawal AUDIT SAMPLING • Application of an audit procedure to less than 100% of the items in a population – Account balance – Class of transactions • Examination “on a test basis” • Key: Sample is intended to be representative of the population. APIPA 2009 2 SAMPLING RISK • Possibility that the sample is NOT representative of the population • As a result‚ auditor will reach WRONG conclusion • Decision errors – Type
Premium Sampling
Chapter 15 Audit Sampling for Tests of Transactions Key objectives: 1. Explain the concept of representative sampling. 2. Distinguish between statistical and nonstatistical sampling. 4. Define and describe audit sampling for exception rates. 5. Use nonstatistical sampling in tests of controls and substantive tests of transactions. 6. Define and describe attribute sampling and a sampling distribution. 7. Use attribute sampling in tests of controls and substantive tests of transactions
Free Sampling Sample size
APPLIED PROBABILITY AND STATISTICS APPLIED PROBABILITY AND STATISTICS DEPARTMENT OF COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE STATISTICAL DISTRIBUTION STATISTICAL DISTRIBUTION SUBMITTED BY – PREETISH MISHRA (11BCE0386) NUPUR KHANNA (11BCE0254) SUBMITTED BY – PREETISH MISHRA (11BCE0386) NUPUR KHANNA (11BCE0254) SUBMITTED TO – PROFESSOR SUJATHA V. SUBMITTED TO – PROFESSOR SUJATHA V
Premium Normal distribution Probability theory
cutting a deck of cards for $1‚000. What is the probability that the card for the gambler will be the following? a. A face card – there are 12 face cards in a deck of 52 cards. The probability would be 12/52 b. A queen – there are 4 queens in a deck‚ so the probability would be 4/52 c. A Spade - There are 13 cards of each suit so the probability is 13/52 or ¼. d. A jack of spades - There is only 1 jack of spades in a deck‚ so the probability would be 1/52 2. The employees in the textile
Premium Playing card Random variable Probability theory
Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)
Premium Random variable Probability theory Cumulative distribution function
Sampling and Data Collection Plan Name QNT/561 October 27‚ 2014 Instructor Introduction Royal Blue Airlines is a medium sized airline company offering flights throughout the United States‚ Mexico‚ Caribbean Islands‚ and Latin America. The company operates a fleet of Boeing 737 aircrafts and is in the process of replacing older ones with newer‚ state-of-the-art planes. These new planes are very expensive‚ so management wants to maximize passenger count. A study has been authorized to
Premium Sampling Research Scientific method
Statistical Sampling for Testing Control Procedures 1. Statistical Sampling for Testing Control Procedures 2. MULTIPLE CHOICE 3. 1. Auditors who prefer statistical sampling to non-statistical sampling may do so because statistical sampling helps the auditor 4. a. Measure the sufficiency of the evidential matter obtained. b. Eliminate subjectivity in the evaluation of sampling results. c. Reduce the level of tolerable error to a relatively low amount. d. Minimize the failure to detect a material misstatement
Free Sampling Sample size