TAILIEUCHUNG - Ebook Basic statistics for business & economics (5th edition): Part 2

(BQ) Part 2 book "Basic statistics for business & economics" has contents: Estimation and confidence intervals; one sample tests of hypothesis; two sample tests of hypothesis; analysis of variance; linear regression and correlation; multiple regression and correlation analysis; chi square applications | Estimation and Confidence Intervals GOALS When you have completed this chapter you will be able to: I 2 Define a point estimate. Define level of confidence. Construct a confidence interval for the population mean when the population standard deviation is known. 3 Construct a confidence interval for a population mean when the population standard deviation is unknown. 4 Construct a confidence interval for a population proportion. 5 Determine the sample size for attribute and variable sampling. 6 The American Restaurant Association collected information on the number of meals eaten outside the home per week by young married couples. A survey of 60 couples showed the sample mean number of meals eaten outside the horne was meals per week. Construct a 97 percent confidence interval for the population mean. (See Goal 4 and Exercise 36.) 246 Chapter 9 Introduction The previous chapter began our discussion of statistical inference. It introduced the reasons and methods of sampling. The reasons for sampling were: Statistics in Action .on all new cars, a fuel economy-esti, , mate is prominently displayed onthe window sticker as I required by the Envi, I ronmentalProtec; ltion Agency (EPA). :'Often, fuel economy I is a factor in a consumer's choice of a I new car because of i fuel costs or environ. ['-meiifalconcerns:For . iI example, a 2004 ". I Toyota Celica's (4 cylinder)fuel esti· mates are per gallon on the highway and 29 mpg in the city. The EPA recognizes that actual fuel economy may differ from the , estimates bynothlg, "Notestcan simu· late all possible combinations of con· ditions and climate, , driverbehavior,and cat care habits. ' Actual mileage depends t:m how, when; and where the vehicle is driven. EPA has found that the mpgobtained by most drivers will be within a fe,w mpg of the estimates . " In fact, the window sticker also includes ',an interval estimate f()rfueleconomy: 21 t633mpg in the city and 31to 41 mpg on the .

• Quản trị kinh doanh
• Basic statistics for business
• Basic statistics for economics
• Confidence intervals
• Two sample tests of hypothesis
• Linear regression
• Multiple regression
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Graphic presentation
• Probability concepts
• Continuous probability distributions
• The central limit theorem
• 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
• Business mathematics
• Statistics mathematics
• The basic techniques mathematics
• Mathematics basic
• Further probability
• Business equations
• Descriptive statistics
• Conditional probability
• Bayes’ theorem
• Quantitative methods
• Index numbers
• Simple linear regression
• Multiple regression model building
• Statistical applications
• Analyzing data