'Linear pattern' presentation slideshows

Summarizing Data

Summarizing Data. Graphical Methods. Histogram. Grouped Freq Table. Stem-Leaf Diagram. Box-whisker Plot. Measure of Central Location. Mean Median. Measure of Variability (Dispersion, Spread). Range Inter-Quartile Range Variance, standard deviation Pseudo-standard deviation.

1.06k views • 90 slides

969 views • 60 slides

Algebra 1 Released Items

Algebra 1 Released Items. 2000. Equations and Inequalities.

1.05k views • 53 slides

EPIB 698D Lecture 6

EPIB 698D Lecture 6. Raul Cruz-Cano Spring 2013. DETERMINING NORMALITY (OR LACK THEREOF). One of the first steps in test selection should be investigating the distribution of the data. PROC UNIVARIATE can be implemented to determine whether or not your data are normal .

388 views • 30 slides

The Effects of Remedial Course Offerings on Student Outcomes at a 2-Year College.

The Effects of Remedial Course Offerings on Student Outcomes at a 2-Year College. . Viktor Brenner, Ph.D. Waukesha County Technical College. Remedial Education at WCTC 1995-2006: Program Readiness. Individual programs set ASSET and later COMPASS cutoff scores for program-readiness

410 views • 30 slides

CCPA CONVENTION OTTAWA 2011 PRE-CONFERENCE WORKSHOP

398 views • 28 slides

Lecture 9: Diagnostics & Review

Lecture 9: Diagnostics & Review. February 10, 2014. Question. A least squares regression line is determined from a sample of values for variables x and y where x = size of a listed home (in sq feet) y = selling price of the home (in $)

379 views • 27 slides

Humberto Avila

Evaluating Scour Potential in Stormwater Catchbasin Sumps Using a Full-Scale Physical Model and CFD Modeling. Humberto Avila Universidad del Norte, Department of Civil and Environmental Engineering , Barranquilla, Colombia . havila@uninorte.edu.co Robert Pitt

346 views • 25 slides

Lesson 12 - 2

Lesson 12 - 2. Transformations to Convert Nonlinear Data to Linear Model. Objectives. USE transformations involving powers and roots to achieve linearity for a relationship between two variables MAKE predictions from a least-squares regression line involving transformed data

300 views • 24 slides

QUIZ CHAPTER FIFTEEN

Psy302 Quantitative Methods. QUIZ CHAPTER FIFTEEN. Opening Day, Today: 3:00 p.m. 1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called. effect size power hypothesis testing coincidence a correlation.

413 views • 23 slides

The Ladder of Powers

The Ladder of Powers. Nonlinear Scatterplots Using the Power Transformation Ladder. Straightening Relationships.

472 views • 23 slides

Organizing ideas

Organizing ideas.

323 views • 20 slides

280 views • 19 slides

Factual television programming

Factual television programming. MATT HINDHAUGH. DEFINING FACTUAL PROGRAMMING. Factual programming is a non fiction type of programming which can document real life events, highlight current affairs and discuss actual people.

464 views • 18 slides

2.5 Correlation & Best-Fitting Lines

2.5 Correlation & Best-Fitting Lines. Algebra II Mrs. Spitz Fall 2008. Objectives. Draw a scatter plot and find a prediction equation. Solve problem using prediction equations. Assignment. Pp. 103-104 #4-27. Information.

273 views • 17 slides

Hw: pg 788: 37, 39, 41, 45 - 48

214 views • 16 slides

Crickhowell Should Have a Swimming Pool

Crickhowell Should Have a Swimming Pool. The diversity and range of service provision is variable.

213 views • 13 slides

Algebra Patterning and Graphs

Algebra Patterning and Graphs. Exploring Patterns. e.g. Write the next two numbers in the following patterns and describe the pattern. a) 2, 5, 8, 11, 14,. 17, 20. b) 40, 34, 28, 22, 16,. 10, 4. Add 3. Subtract 6. c) 1, 3, 9, 27, 81,. 243, 729. d) 1, 4, 9, 16, 25,.

237 views • 12 slides

Mechanical

Mechanical . Resistance. Friction Two solid objects sliding against each other. Drag The backwards drag of a solid object moving forward through a fluid. Two main causes. Cause of Friction. The hills and valleys of 2 objects acting upon each other. Causes Cont.

317 views • 11 slides

Chapter 2

Chapter 2. Section 5. Correlation and Best-Fitting Lines. Objective:. To be able to determine correlation and fit a line to the plotted data. Correlation. Positive Correlation can be determined if Y tends to increase as X increases. Correlation.

283 views • 9 slides