tailieunhanh - Lecture Statistical techniques in business and economics - Chapter 1: What is statistics?

Chapter 1 - What is statistics? When you have completed this chapter, you will be able to: Explain what is meant by statistics, identify the role of statistics in the development of knowledge and everyday life, explain what is meant by descriptive statistics and inferential statistics, distinguish between a qualitative variable and a quantitative variable,. | Chapter 1 What is Statistics? When you have completed this chapter, you will be able to: Chapter Goals Explain what is meant by statistics. Identify the role of statistics in the development of knowledge and everyday life. Explain what is meant by descriptive statistics and inferential statistics. and. 1. 2. 3. 4. 1 1 - Distinguish between a qualitative variable and a quantitative variable. Chapter Goals and. 5. 6. 7. 8. 1 1 - Distinguish among the nominal, ordinal, interval, and ratio levels of measurement. Collect data from published and unpublished sources. Identify abuses of statistics. Distinguish between a discrete variable and a continuous variable. Chapter Goals 1 1 - 9. Gain an overview of the art and science of statistics. We recommend that you read this chapter at least twice, once at the beginning and once at the end of your course! it is the art and science of collecting organizing presenting data drawing inferences from a sample of information about . | Chapter 1 What is Statistics? When you have completed this chapter, you will be able to: Chapter Goals Explain what is meant by statistics. Identify the role of statistics in the development of knowledge and everyday life. Explain what is meant by descriptive statistics and inferential statistics. and. 1. 2. 3. 4. 1 1 - Distinguish between a qualitative variable and a quantitative variable. Chapter Goals and. 5. 6. 7. 8. 1 1 - Distinguish among the nominal, ordinal, interval, and ratio levels of measurement. Collect data from published and unpublished sources. Identify abuses of statistics. Distinguish between a discrete variable and a continuous variable. Chapter Goals 1 1 - 9. Gain an overview of the art and science of statistics. We recommend that you read this chapter at least twice, once at the beginning and once at the end of your course! it is the art and science of collecting organizing presenting data drawing inferences from a sample of information about an entire population as well as predicting and developing policy analysis What is Meant by Statistics? in everyday life Role played by Statistics Who uses Statistics? Those using Statistical techniques include : Marketers Accountants Hospitals Investors Economists Sports people Statisticians Consumers Educators Quality Controllers Politicians Physicians Weather Forecasters Who uses Statistics? Who uses Statistics? Sports Types of Statistics Types of Statistics Methods of collecting organizing presenting and analyzing data Science of making inferences about a population, based on sample information. Descriptive Inferential Identify the following C. Wine tasters sip a few drops of wine to make a decision with respect to all the wine waiting to be released for sale. A. A Gallup poll found that 83% of the people in a survey knew which country won the gold medal in Men’s Hockey in 2002. B. The accounting department of a firm will select a sample of invoices to check for accuracy of all .

• 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