TAILIEUCHUNG - Lecture Statistical techniques in business and economics (14/e): Chapter 1 - Lind, Marchal, Wathen

Chapter 1 - What is statistics? When you have completed this chapter, you will be able to: Understand why we study statistics, explain what is meant by descriptive statistics and inferential statistics, distinguish between a qualitative variable and a quantitative variable, describe how a discrete variable is different from a continuous variable, distinguish among the nominal, ordinal, interval, and ratio levels of measurement. | What is Statistics? Chapter 1 GOALS Understand why we study statistics. Explain what is meant by descriptive statistics and inferential statistics. Distinguish between a qualitative variable and a quantitative variable. Describe how a discrete variable is different from a continuous variable. Distinguish among the nominal, ordinal, interval, and ratio levels of measurement. What is Meant by Statistics? Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making more effective decisions. Why Study Statistics? Numerical information is everywhere Statistical techniques are used to make decisions that affect our daily lives The knowledge of statistical methods will help you understand how decisions are made and give you a better understanding of how they affect you. No matter what line of work you select, you will find yourself faced with decisions where an understanding of data analysis is helpful. What .

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