TAILIEUCHUNG - Lecture Statistical techniques in business and economics: Chapter 2 - Lind, Marchal, Wathen

When you have completed this chapter, you will be able to: Organize raw data into frequency distribution; produce a histogram, a frequency polygon, and a cumulative frequency polygon from quantitative data; develop and interpret a stem-and-leaf display; present qualitative data using such graphical techniques such as a clustered bar chart, a stacked bar chart, and a pie chart; detect graphic deceptions and use a graph to present data with clarity, precision, and efficiency. | Chapter 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. GOALS Organize qualitative data into a frequency table. Present a frequency table as a bar chart or a pie chart. Organize quantitative data into a frequency distribution. Present a frequency distribution for quantitative data using histograms, frequency polygons, and cumulative frequency polygons. Frequency Table and Frequency Distribution FREQUENCY TABLE A grouping of qualitative data into mutually exclusive classes showing the number of observations in each class. FREQUENCY DISTRIBUTION A grouping of data into mutually exclusive classes showing the number of observations in each class. Class interval: The class interval is obtained by subtracting the lower limit of a class from the lower limit of the next class. Class frequency: The number of observations in each class. Class midpoint: A .

• 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