TAILIEUCHUNG - Lecture Business statistics in practice (7/e): Chapter 7 - Bowerman, O'Connell, Murphree

Chapter 7 - Sampling and sampling distributions. This chapter includes contents: Random sampling; the sampling distribution of the sample mean; the sampling distribution of the sample proportion; stratified random, cluster, and systematic sampling (optional); more about surveys and errors in survey sampling (optional); deviation of the mean and variance of the sample mean (optional). | Chapter 7 Sampling and Sampling Distributions Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Sampling and Sampling Distributions Random Sampling The Sampling Distribution of the Sample Mean The Sampling Distribution of the Sample Proportion Stratified Random, Cluster, and Systematic Sampling (Optional) More about Surveys and Errors in Survey Sampling (Optional) Deviation of the Mean and Variance of the Sample Mean (Optional) 7- Random Sampling If we select n elements from a population in such a way that every set of n elements in the population has the same chance of being selected, the then elements we select are said to be a random sample In order to select a random sample of n elements from a population, we make n random selections from the population On each random selection, we give every element remaining in the population for that selection the same chance of being chosen LO7-1: Explain the .

• Quản trị kinh doanh
• Business Statistics
• Business statistics in practice
• Descriptive statistics
• Sampling distributions
• Random sampling
• Stratified random
• Lecture Business statistics
• Bài giảng Thống kê doanh nghiệp
• Descriptive statistics tabular
• Descriptive statistics graphical presentations
• Summarizing quantitative data
• Essentials of modern business statistics
• Modern business statistics
• Graphical presentations
• numerical measures
• Exploratory data analysis
• Interval estimation
• Hypothesis tests
• Simple linear regression
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Data sources
• Statistical inference
• Illustrate sampling
• Graphical methods
• Tabular methods
• Graphically summarizing qualitative data
• Numerical methods
• Describing central tendency
• Measures of variation
• Sample spaces
• Elementary probability rules
• Compute conditional probabilities
• Discrete random variables
• Discrete probability distributions
• Binomial distribution
• Continuous random variables
• Continuous probability distributions
• Uniform distribution
• Confidence intervals
• Sample size determination
• Hypothesis testing
• Alternative hypotheses
• Sampling distribution
• Equal variance
• Statistical inferences
• Population variances
• Experimental design
• Analysis of variance
• Randomized block design
• Chi square tests
• Chi square goodness of fit tests
• Multinomial experiment
• Simple linear regression analysis
• Simple linear regression model
• Model assumptions
• Multiple regression
• Least squares point estimate
• Multiple regression model
• Times series forecasting
• Index numbers
• Forecast error comparisons
• Statistical process control
• Causes of variation
• Control charts
• Nonparametric methods
• Hypothesis test
• Decision theory
• Utility theory
• Posterior probabilities