TAILIEUCHUNG - Lecture Statistical techniques in business and economics: Chapter 7 - Lind, Marchal, Wathen

When you have completed this chapter, you will be able to: Explain how probabilities are assigned to a continuous random variable, explain the characteristics of a normal probability distribution, define and calculate z value corresponding to any observation on a normal distribution, determine the probability a random observation is in a given interval on a normal distribution using the standard normal distribution, use the normal probability distribution to approximate the binomial probability distribution. | Continuous Probability Distributions Chapter 7 GOALS Understand the difference between discrete and continuous distributions. Compute the mean and the standard deviation for a uniform distribution. Compute probabilities by using the uniform distribution. List the characteristics of the normal probability distribution. Define and calculate z values. Determine the probability an observation is between two points on a normal probability distribution. Determine the probability an observation is above (or below) a point on a normal probability distribution. 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. EXAMPLE Southwest Arizona State University provides bus service to students while they are on campus. A bus arrives at the .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• The role of statistics
• Qualitative variable
• Statistical inference
• Independent samples
• Statistical process control
• Quality management
• Random observation
• Sampling methods
• Central limit theorem
• Confidence intervals
• Point estimator
• Confidence interval
• Hypothesis testing
• Alternative hypothesis
• Analysis of variance
• F distribution
• Linear regression
• Coefficient of correlation
• Multiple regression
• Multiple regression analysis
• Chi square applications
• Test of hypothesis
• Analysis of ranked data
• Kruskal Wallis test
• Index numbers
• Consumer price index
• Time series
• Linear trend equation
• Decision making
• Organize information
• Describing data
• Frequency distribution
• Central tendency
• Standard deviation
• Ungrouped data
• Probability concepts
• Random experiment
• Discrete probability distributions
• Continuous random variables
• Decision theory
• Decision alternative
• Inferential statistics
• Frequency tables
• Numerical measures