TAILIEUCHUNG - Lecture Basic statistics for business and economics - Chapter 7: Continuous probability distributions

The main goals of this chapter are to: List the characteristics of the uniform distribution, compute probabilities by using the uniform distribution, list the characteristics of the normal probability distribution, convert a normal distribution to the standard normal distribution,. | Continuous Probability Distributions Chapter 07 Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin LEARNING OBJECTIVES LO 7-1 List the characteristics of the uniform distribution. LO 7-2 Compute probabilities by using the uniform distribution. LO 7-3 List the characteristics of the normal probability distribution. LO 7-4 Convert a normal distribution to the standard normal distribution. LO 7-5 Find the probability that an observation on a normally distributed random variable is between two values. LO 7-6 Find probabilities using the Empirical Rule. 7- Our learning objectives for of this chapter include understanding the difference between discrete and continuous distributions, learning how to compute the mean and a standard deviation for a uniform distribution and a normal distribution, and how to compute probabilities using these two distributions. We will also learn the characteristics of the normal probability distribution, and calculate Z values. In chapter five we learned about the binomial distribution. In this chapter we will learn how to use the normal probability distribution to approximate the binomial distribution. The Uniform Distribution The uniform probability distribution is perhaps the simplest distribution for a continuous random variable. This distribution is rectangular in shape and is defined by minimum and maximum values. LO 7-1 List the characteristics of the uniform distribution. 7- The Uniform Distribution – Example EXAMPLE Southwest Arizona State University provides bus service to students while they are on campus. A bus arrives at the North Main Street and College Drive stop every 30 minutes between 6 . and 11 . during weekdays. Students arrive at the bus stop at random times. The time that a student waits is uniformly distributed from 0 to 30 minutes. Draw a graph of this distribution. Show that the area of this uniform distribution is . How long will a student .

• Kinh tế học
• Basic statistics
• Statistics for business
• Describing data
• Continuous probability distributions
• Uniform distribution
• Normal probability distribution
• Types of statistics
• Quantitative variables
• Ordinal level data
• Lecture Basic Statistics
• Bài giảng Thống kê cơ bản
• Introduction to Statistics
• Real limits
• Measuring variables
• Correlational studies
• Basic statistics for business
• Basic statistics for economics
• Graphic presentation
• Probability concepts
• The central limit theorem
• Confidence intervals
• Two sample tests of hypothesis
• Linear regression
• Multiple regression
• Frequency tables
• Frequency distributions
• Numerical measures
• Sample mean
• Measures of dispersion
• Exploring data
• Dot plot
• Coefficient of skewness
• Joint probability
• Contingency table
• Discrete probability distributions
• Probability distribution
• Continuous random variable
• Sampling methods
• Central limit theorem
• Probability sampling
• Point estimate
• Confidence interval
• One sample tests
• Hypothesis testing
• Test statistic
• Equal variances
• Two sample tests
• Analysis of variance
• Dependent variable
• Independent variable
• Multiple regression analysis
• Multiple linear regression
• Multiple determination
• Nonparametric methods
• Goodness of fit tests
• Contingency table analysis
• Basic business statistics
• Visualizing data
• Basic probability
• The normal distribution
• Other continuous distributions
• Statistical techniques
• Study statistics
• Inferential statistics
• The essentials of statistics
• Basic descriptive statistics
• Ratios and rates
• Central tendency
• The normal curve
• Financial risk management
• Statistics mathematics
• Risk management
• Financial risk
• Financial mathematics
• Some basic math
• Percentile ranks
• The binomial distribution
• descriptive statistics
• basic probability theory
• inductive statistics
• multivariate analysis
• firm understanding
• concise manner
• Conditional probability
• Bayes’ theorem