TAILIEUCHUNG - Lecture Basic statistics for business and economics - Chapter 1: What is statistics?

Lecture Basic statistics for business and economics - Chapter 1: What is statistics?. When you have completed this chapter, you will be able to: List ways that statistics is used, know the differences between descriptive and inferential statistics, understand the differences between a sample and a population, explain the difference between qualitative and quantitative variables, compare the discrete and continuous variables, recognize the levels of measurement in data. | What Is Statistics? Chapter 01 Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin LEARNING OBJECTIVES LO 1-1 List ways that statistics is used. LO 1-2 Know the differences between descriptive and inferential statistics. LO 1-3 Understand the differences between a sample and a population. LO 1-4 Explain the difference between qualitative and quantitative variables. LO 1-5 Compare the discrete and continuous variables. LO 1-6 Recognize the levels of measurement in data. 1- Why Study Statistics? 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. Some examples of the need for data collection. Research analysts for Merrill Lynch evaluate many facets of a particular stock before making a “buy” or “sell” recommendation. The marketing department at Colgate-Palmolive Co., a manufacturer of soap products, has the responsibility of making recommendations regarding the potential profitability of a newly developed group of face soaps having fruit smells. The United States government is concerned with the present condition of our economy and with predicting future economic trends. Managers must make decisions about the quality of their product or service. LO1 List ways statistics is used. 1- What Is Meant by Statistics? In the more common usage, statistics refers to numerical information Examples: the average starting salary of college graduates, the number of deaths due to alcoholism last year, the change in the Dow Jones Industrial Average from yesterday to today, and the number of home runs hit by the Chicago Cubs during the 2007 season. We often present .

• Kinh tế học
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Lecture Basic Statistics
• Bài giảng Thống kê cơ bản
• Introduction to Statistics
• Real limits
• Measuring variables
• Correlational studies
• Basic statistics for business
• Basic statistics for economics
• Graphic presentation
• Probability concepts
• Continuous probability distributions
• The central limit theorem
• Confidence intervals
• Two sample tests of hypothesis
• Linear regression
• Multiple regression
• Frequency tables
• Frequency distributions
• Numerical measures
• Sample mean
• Measures of dispersion
• Exploring data
• Dot plot
• Coefficient of skewness
• Joint probability
• Contingency table
• Discrete probability distributions
• Probability distribution
• Continuous random variable
• Uniform distribution
• Normal probability distribution
• Sampling methods
• Central limit theorem
• Probability sampling
• Point estimate
• Confidence interval
• One sample tests
• Hypothesis testing
• Test statistic
• Equal variances
• Two sample tests
• Analysis of variance
• Dependent variable
• Independent variable
• Multiple regression analysis
• Multiple linear regression
• Multiple determination
• Nonparametric methods
• Goodness of fit tests
• Contingency table analysis
• Basic business statistics
• Visualizing data
• Basic probability
• The normal distribution
• Other continuous distributions
• Statistical techniques
• Study statistics
• Inferential statistics
• The essentials of statistics
• Basic descriptive statistics
• Ratios and rates
• Central tendency
• The normal curve
• Financial risk management
• Statistics mathematics
• Risk management
• Financial risk
• Financial mathematics
• Some basic math
• Percentile ranks
• The binomial distribution
• descriptive statistics
• basic probability theory
• inductive statistics
• multivariate analysis
• firm understanding
• concise manner
• Conditional probability
• Bayes’ theorem