'Sample observations' presentation slideshows

Analysis of Variance (ANOVA) and Multivariate Analysis of Variance (MANOVA)

Analysis of Variance (ANOVA) and Multivariate Analysis of Variance (MANOVA). Session 6. Analysis of Variance. Using Statistics. The Hypothesis Test of Analysis of Variance. The Theory and Computations of ANOVA. The ANOVA Table and Examples. Further Analysis. Models, Factors, and Designs.

1.49k views • 73 slides

COMPLETE BUSINESS STATISTICS

COMPLETE BUSINESS STATISTICS. by AMIR D. ACZEL & JAYAVEL SOUNDERPANDIAN 6 th edition (SIE). Chapter 9. Analysis of Variance. 9. Analysis of Variance. Using Statistics The Hypothesis Test of Analysis of Variance The Theory and Computations of ANOVA The ANOVA Table and Examples

872 views • 55 slides

Chapter 13 Introduction to Linear Regression and Correlation Analysis

Chapter 13 Introduction to Linear Regression and Correlation Analysis. Chapter Goals. To understand the methods for displaying and describing relationship among variables. Methods for Studying Relationships. Graphical Scatterplots Line plots 3-D plots Models Linear regression

1.12k views • 53 slides

Using Statistics The Hypothesis Test of Analysis of Variance The Theory and Computations of ANOVA

9. Analysis of Variance. Using Statistics The Hypothesis Test of Analysis of Variance The Theory and Computations of ANOVA The ANOVA Table and Examples Further Analysis Models, Factors, and Designs Two-Way Analysis of Variance Blocking Designs Using the Computer

801 views • 49 slides

A Survey of Probability Concepts

A Survey of Probability Concepts. Chapter 5. GOALS. Define probability. Describe the classical, empirical, and subjective approaches to probability. Explain the terms experiment, sample space, event, outcome, permutations, and combinations.

854 views • 48 slides

Test statistic: Group Comparison

Research Statistics , Lecture 5. Test statistic: Group Comparison. Jobayer Hossain Larry Holmes, Jr. October 30,2008. Hypothesis Testing (Quantitative variable). One group sample - one sample t-test. Test for value of a single mean

580 views • 38 slides

Chapter 7

Chapter 7. Statistical Quality Control. Quality Control Approaches. Statistical process control (SPC) Monitors the production process to prevent poor quality. Statistical Process Control. Take periodic samples from a process Plot the sample points on a control chart

730 views • 37 slides

Statistical Process Control

UCL. LCL. Statistical Process Control. Take periodic samples from process Plot sample points on control chart Determine if process is within limits Prevent quality problems. Variation. Common Causes Variation inherent in a process

641 views • 36 slides

468 views • 35 slides

467 views • 35 slides

Chapter 6 Diagnostics for Leverage and Influence

Chapter 6 Diagnostics for Leverage and Influence. Ray-Bing Chen Institute of Statistics National University of Kaohsiung . 6.1 Important of Detecting Influential Observations. Usually assume equal weights for the observations. For example: sample mean

581 views • 33 slides

Regression Models

527 views • 30 slides

Chapter 8. Process Capability & Statistical Quality Control

Chapter 8. Process Capability & Statistical Quality Control . Outline: Basic Statistics Process Variation Process Capability Process Control Procedures Variable data X-bar chart and R-chart Attribute data p-chart Acceptance Sampling Operating Characteristic Curve. Focus.

1.41k views • 25 slides

Measures of Central Tendency

2.15k views • 18 slides

Hypothesis Testing

Hypothesis Testing. State the hypotheses. Formulate an analysis plan. Analyze sample data. Interpret the results. Hypothesis Testing. State the hypotheses. Every hypothesis test requires the analyst to state a null hypothesis and An alternative hypothesis .

333 views • 13 slides

369 views • 10 slides

Statistical Inference for Managers

Statistical Inference for Managers. One Way Analysis of variance (ANOVA) By Imran Khan. One way ANOVA. Suppose we want to compare the means of k populations with same variance. The procedure for testing the equality of population means in this setup is called One Way ANOVA.

230 views • 10 slides

Lesson 15 - 5

Lesson 15 - 5. Inferences about the Differences between Two Medians: Independent Samples. Objectives. Test a claim about the difference between the medians of two independent samples. Vocabulary.

159 views • 10 slides

Hypothesis Testing for the Mean: known

Hypothesis Testing for the Mean: known. Testing a Claim about a Mean: Known. We first need to make sure we meet the requirements. The sample observations are a simple random sample. The value of the population standard deviation is known Either the Population is normal, or

267 views • 7 slides

Hypothesis Testing for the Mean: not known

Hypothesis Testing for the Mean: not known. Testing a Claim about a Mean: not Known. We first need to make sure we meet the requirements. The sample observations are a simple random sample. The value of the population standard deviation is not known Either the Population is normal, or

183 views • 6 slides