TAILIEUCHUNG - Lecture Statistical techniques in business and economics (14/e): Chapter 6 - Lind, Marchal, Wathen

Chapter 6 - Discrete probability distributions. In this chapter, the learning objectives are: Define the terms probability distribution and random variable; distinguish between discrete and continuous probability distributions; calculate the mean, variance, and standard deviation of a discrete probability distribution;. | Discrete Probability Distributions Chapter 6 Define the terms probability distribution and random variable. Distinguish between discrete and continuous probability distributions. Calculate the mean, variance, and standard deviation of a discrete probability distribution. Describe the characteristics of and compute probabilities using the binomial probability distribution. Describe the characteristics of and compute probabilities using the hypergeometric probability distribution. Describe the characteristics of and compute probabilities using the Poisson probability distribution. GOALS What is a Probability Distribution? Experiment: Toss a coin three times. Observe the number of heads. The possible results are: Zero heads, One head, Two heads, and Three heads. What is the probability distribution for the number of heads? PROBABILITY DISTRIBUTION A listing of all the outcomes of an experiment and the probability associated with each outcome. CHARACTERISTICS OF A PROBABILITY .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Discrete probability distributions
• Probability distribution
• 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
• The role of statistics
• Qualitative variable
• Describing data
• Frequency distribution
• Central tendency
• Standard deviation
• Ungrouped data
• Probability concepts
• Random experiment
• Continuous random variables
• Decision theory
• Decision alternative
• Inferential statistics
• Frequency tables
• Numerical measures