TAILIEUCHUNG - Lecture Statistical techniques in business and economics (14/e): Chapter 4 - Lind, Marchal, Wathen

Chapter 4 - Describing data: Displaying and exploring data. When you have completed this chapter, you will be able to: Develop and interpret a dot plot; develop and interpret a stem-and-leaf display; compute and understand quartiles, deciles, and percentiles; construct and interpret box plots; compute and understand the coefficient of skewness; draw and interpret a scatter diagram; construct and interpret a contingency table. | Describing Data: Displaying and Exploring Data Chapter 4 GOALS Develop and interpret a dot plot. Develop and interpret a stem-and-leaf display. Compute and understand quartiles, deciles, and percentiles. Construct and interpret box plots. Compute and understand the coefficient of skewness. Draw and interpret a scatter diagram. Construct and interpret a contingency table. Dot Plots A dot plot groups the data as little as possible and the identity of an individual observation is not lost. To develop a dot plot, each observation is simply displayed as a dot along a horizontal number line indicating the possible values of the data. If there are identical observations or the observations are too close to be shown individually, the dots are “piled” on top of each other. EXAMPLE Reported below are the number of vehicles sold in the last 24 months at Smith Ford Mercury Jeep, Inc., in Kane, Pennsylvania, and Brophy Honda Volkswagen in Greenville, Ohio. Construct dot plots and report .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Describing data
• Exploring data
• 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
• 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