- published: 26 Feb 2013
- views: 31127
An index is an indirect shortcut derived from and pointing into a greater volume of values, data, information or knowledge. Index may refer to:
Khan Academy is a non-profit educational organization created in 2006 by educator Salman Khan with the aim of providing a free, world-class education for anyone, anywhere. The organization produces short lectures in the form of YouTube videos. In addition to micro lectures, the organization's website features practice exercises and tools for educators. All resources are available for free to anyone around the world. The main language of the website is English, but the content is also available in other languages.
The founder of the organization, Salman Khan, was born in New Orleans, Louisiana, United States to immigrant parents from Bangladesh and India. After earning three degrees from the Massachusetts Institute of Technology (a BS in mathematics, a BS in electrical engineering and computer science, and an MEng in electrical engineering and computer science), he pursued an MBA from Harvard Business School.
In late 2004, Khan began tutoring his cousin Nadia who needed help with math using Yahoo!'s Doodle notepad.When other relatives and friends sought similar help, he decided that it would be more practical to distribute the tutorials on YouTube. The videos' popularity and the testimonials of appreciative students prompted Khan to quit his job in finance as a hedge fund analyst at Connective Capital Management in 2009, and focus on the tutorials (then released under the moniker "Khan Academy") full-time.
Microsoft Excel is a spreadsheet developed by Microsoft for Windows, Mac OS X, and iOS. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications. It has been a very widely applied spreadsheet for these platforms, especially since version 5 in 1993, and it has replaced Lotus 1-2-3 as the industry standard for spreadsheets. Excel forms part of Microsoft Office.
Microsoft Excel has the basic features of all spreadsheets, using a grid of cells arranged in numbered rows and letter-named columns to organize data manipulations like arithmetic operations. It has a battery of supplied functions to answer statistical, engineering and financial needs. In addition, it can display data as line graphs, histograms and charts, and with a very limited three-dimensional graphical display. It allows sectioning of data to view its dependencies on various factors for different perspectives (using pivot tables and the scenario manager). It has a programming aspect, Visual Basic for Applications, allowing the user to employ a wide variety of numerical methods, for example, for solving differential equations of mathematical physics, and then reporting the results back to the spreadsheet. It also has a variety of interactive features allowing user interfaces that can completely hide the spreadsheet from the user, so the spreadsheet presents itself as a so-called application, or decision support system (DSS), via a custom-designed user interface, for example, a stock analyzer, or in general, as a design tool that asks the user questions and provides answers and reports. In a more elaborate realization, an Excel application can automatically poll external databases and measuring instruments using an update schedule, analyze the results, make a Word report or PowerPoint slide show, and e-mail these presentations on a regular basis to a list of participants.
Learn how to recode variables and compute and index variable using SPSS.
Download file: https://people.highline.edu/mgirvin/ExcelIsFun.htm 1. See how to do a three way lookup when there are two row header variables (criteria) and one column header (criteria) variable using INDEX and MATCH functions for a normal two way lookup, but with the two row headers joined to create a single row header criteria. In essence, three way lookup is turned into a standard two way lookup. Also see IFERROR function.
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/e/constructing-probability-distributions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/random-variables?utm_source=YT&utm_medium=Desc&utm_campaig...
Learn how to draw patterns such as a maze or vortex with NCLab Turtle, using for loops and modifying the counting or index variables. Set beginning and ending values for the index, write operations on the index within the body of the for loop. TURTLE CODING COURSE: LEARN PROGRAMMING THROUGH ART The Turtle Coding course is an excellent visual introduction to Python programming. Students create beautiful objects including pendants, mosaics, ornaments, cookie cutters, round containers, vases and even chess figures. Their creations can be printed on 3D printers and cut out of wood or plastic on laser cutters. While writing programs for the Turtle, students become proficient in using variables, loops and functions as well as in Python code syntax, formatting and debugging. The course require...
Very often students who have questionnaire data ask me whether they can add together some similar variables to create a new variable that summarizes the meaning of all the questions that go into it, for example if you have a load of questions about the service of an airline, the sum of those questions gives a new variable that may be interpreted as airline satisfaction score. The answers is YES (that new variable is called a score/index), but there are things to watch out for. Keywords: index, composite score, attribute, trait, items, unit weighted scores, weighted scores, reliability, MEAN().
This video illustrates how to calculate a correlation in Excel on three variables using the Data Analysis Toolpak. Correlation in Excel Data Analysis ToolPak Pearson Correlation in Microsoft Excel Video Transcript: In this video I want to take a look at how to calculate the correlation coefficient in Microsoft Excel when I have more than two variables. So in this example I have SAT score, social support and this was recorded in college, and then college GPA. So we have three variables and what I want to do is get the correlation between all pairs of variables. So the correlation of SAT with social support, the correlation of SAT with college GPA, and then the correlation of social support with college GPA. So to do that I want to go ahead and select Data and then Data Analysis and then w...
We continue to look at basic tolls of R. in this video we look at indexes and logical variables to isolate different indexes
(Index: https://www.stat.auckland.ac.nz/~wild/wildaboutstatistics/ ) Plotting numeric variables shows us interesting characteristics of our data. In this video we’ll explore pulse rates and household incomes and learn how to describe what we see. After you’ve watched this video, you should be able to answer these questions How is a stacked dot plot constructed? What are the four types of things we look for in dot plots? What is the common name for the mean? How does the mean relate to the dot plot? What property defines the median? When do the mean and median tend to be very similar, and when can they be quite different? Why might we prefer the median to the mean for personal incomes?
Phoenix PM - 2012-01-12 - Tied Variables 720x480 - Doug Miles Doug Miles presents an introduction to tied variables. Presented January 12, 2012 at the offices of www.liquidweb.com in Scottsdale, Arizona The slides are located at: http://pm.veritablesoftware.com/slides/tied_variables/index.html
A tutorial on sketch structure, functions, return values and variables. Sketch / code used in tutorial: http://mjlorton.com/forum/index.php?topic=119.0 Buy your Arduino kit here: http://astore.amazon.com/m0711-20?_encoding=UTF8&node=8 --------------------- Click "Show more" ------------------------------- My website and forum:- http://www.mjlorton.com Donations and contributions:- http://www.mjlorton.com My techie channel MJLorton - Solar Power and Electronic Measurement Equipment - http://www.youtube.com/MJLorton My Techie Amazon Store: http://astore.amazon.com/m0711-20 My other channel VBlogMag - For almost any topic under the sun! - http://www.youtube.com/VBlogMag My VBlogMag Amazon Store: http://astore.amazon.com/vblogmag-20 ------------------------------------------------------------...
Index Number (Business Statistics Tutorial ) An index number is a statistical measure designed to show changes in variables or group of related variables with respect to time , geographical location or other characteristics. I give you a link there you get power point page there have all information about Index number as if you can learn form there. https://www.slideshare.net/nokib2/index-number-business-statistics-tutorial
get - PHP $_GET Variable php - How to set $_GET variable PHP - easiest way to get $_GET parameters string as written PHP: $_GET php $_request php $_get array php $_get example php isset php $_get undefined index php $_get not working php $_get multiple values php $_get empty Verwandte Suchanfragen zu php $_GET php $_get auslesen php get url php $_get array php $_get undefined index php $_get empty php $_get page php $_get leer php $_get absichern
Learn how to recode variables and compute and index variable using SPSS.
Download file: https://people.highline.edu/mgirvin/ExcelIsFun.htm 1. See how to do a three way lookup when there are two row header variables (criteria) and one column header (criteria) variable using INDEX and MATCH functions for a normal two way lookup, but with the two row headers joined to create a single row header criteria. In essence, three way lookup is turned into a standard two way lookup. Also see IFERROR function.
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/e/constructing-probability-distributions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/random-variables?utm_source=YT&utm_medium=Desc&utm_campaig...
Learn how to draw patterns such as a maze or vortex with NCLab Turtle, using for loops and modifying the counting or index variables. Set beginning and ending values for the index, write operations on the index within the body of the for loop. TURTLE CODING COURSE: LEARN PROGRAMMING THROUGH ART The Turtle Coding course is an excellent visual introduction to Python programming. Students create beautiful objects including pendants, mosaics, ornaments, cookie cutters, round containers, vases and even chess figures. Their creations can be printed on 3D printers and cut out of wood or plastic on laser cutters. While writing programs for the Turtle, students become proficient in using variables, loops and functions as well as in Python code syntax, formatting and debugging. The course require...
Very often students who have questionnaire data ask me whether they can add together some similar variables to create a new variable that summarizes the meaning of all the questions that go into it, for example if you have a load of questions about the service of an airline, the sum of those questions gives a new variable that may be interpreted as airline satisfaction score. The answers is YES (that new variable is called a score/index), but there are things to watch out for. Keywords: index, composite score, attribute, trait, items, unit weighted scores, weighted scores, reliability, MEAN().
This video illustrates how to calculate a correlation in Excel on three variables using the Data Analysis Toolpak. Correlation in Excel Data Analysis ToolPak Pearson Correlation in Microsoft Excel Video Transcript: In this video I want to take a look at how to calculate the correlation coefficient in Microsoft Excel when I have more than two variables. So in this example I have SAT score, social support and this was recorded in college, and then college GPA. So we have three variables and what I want to do is get the correlation between all pairs of variables. So the correlation of SAT with social support, the correlation of SAT with college GPA, and then the correlation of social support with college GPA. So to do that I want to go ahead and select Data and then Data Analysis and then w...
We continue to look at basic tolls of R. in this video we look at indexes and logical variables to isolate different indexes
(Index: https://www.stat.auckland.ac.nz/~wild/wildaboutstatistics/ ) Plotting numeric variables shows us interesting characteristics of our data. In this video we’ll explore pulse rates and household incomes and learn how to describe what we see. After you’ve watched this video, you should be able to answer these questions How is a stacked dot plot constructed? What are the four types of things we look for in dot plots? What is the common name for the mean? How does the mean relate to the dot plot? What property defines the median? When do the mean and median tend to be very similar, and when can they be quite different? Why might we prefer the median to the mean for personal incomes?
This video introduces the programming concepts and syntax for creating new variables. The Stata commands covered include generate, replace, recode, label define, label values, label variable, and label data.
match and index tutorial. These 2 functions are very often used together in place of vlookup. This example looks up IRS witholding for (1) wages, (2) marital status, and (3) number of deductions. 2 and 3 are combined in a single table (M2, S0, S3, etc.)
Big crossover topic from Algebra 1 to Algebra 2, on exponents. Here we multiply exponents, divide exponents, and raise them to powers. I hope this video can improve your abilities, exponentially! YAY MATH! Please visit yaymath.org Video copyright (c) Yay Math
Statistics 101: Covariance. In this video we discuss the very basics of what covariance is (and isn't) using two real-world examples; stock market index covariance and worker productivity covariance. We reach back to basic algebra to explain the relationship between to variables in the coordinate plane. The video also includes a hand-calculation of covariance which luckily is quite simple. Finally, we hint at upcoming videos as we briefly discuss the relationship between covariance, correlation, and linear regression. Enjoy! For my complete video library organized by playlist, please go to my video page here: http://www.youtube.com/user/BCFoltz/videos?flow=list&view=1&live_view=500&sort=dd
This physics video tutorial discusses snell's law and the index of refraction of light. It discusses the difference between the law of reflection and refraction. It contains plenty of notes, equations / formulas, with examples and practice problems. Here is a list of topics. 1. Law of Reflection - Angle of Incidence Equals Angle of Reflection 2. Normal Line - Perpendicular to the Surface 3. Incident Ray vs Reflected Ray 4. Snell's Law of Refraction - Bending of Light 5. Index of Refraction - Speed of Light and Wavelength - Inverse Relationship 6. High n to low n - Bending away vs toward normal line 7. Calculating the Wavelength and Speed of Light in Water, Glass, and Diamond 8. Frequency of Light does not depend on Index of Refraction 9. Index of Refraction Practice Probelms
★☆★ ENROLL IN CLEVER PROGRAMMER http://cleverprogrammer.to/enroll Unit 1: PYTHON SYNTAX ====================================== 0:00 -- 1. Welcome! 2:15 -- 2. Variables 2:53 -- 3. Booleans 3:39 -- 4. You've Been Reassigned! 3:53 -- 5. Whitespace 4:42 -- 6. Whitespace Means Right Space 4:53 -- 7. Matter of Interpretation 5:36 -- 8. Single Line Comments 6:55 -- 9. Multi-Line Comments 7:20 -- 10. Math 8:58 -- 11. Exponentiation 9:50 -- 12. Modulo 11:52 -- 13. Bringing it All Together Lesson 2: Tip Calculator 14:55 -- 1. The Meal 16:06 -- 2. The Tax 16:35 -- 3. The Tip 19:19 -- 4. Reassign in a Single Line 20:37 -- 5. The Total ====================================== Unit 2: STRINGS AND CONSOLE OUTPUT ====================================== LESSON 1: Strings & Console Output 22:05 -- 1. ...
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. 0:00 Introduction to bivariate correlation 2:20 Why does SPSS provide more than one measure for correlation? 3:26 Example 1: Pearson correlation 7:54 Example 2: Spearman (rhp), Kendall's tau-b 15:26 Example 3: correlation matrix I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. Watc...
Dr. Steve Garrity's virtual seminar "Canopy 101: Leaf Area Index - Theory, Measurement, Application" discusses the different methods available for measuring LAI. The theory, advantages, and disadvantages of each method will be covered. Leaf Area Index (LAI) is one of the most widely measured variables used to describe plant canopies. The traditional approach to measuring LAI required destructive harvesting and measurement of every leaf within a given area of plant canopy. Fortunately, advances in theory and sensor technology have provided several alternative methods for rapidly and non-destructively estimating LAI. Visit http://www.decagon.com/ for more information on Decagon's products, service, and education.
Determining the efficiency of a number of variables in their ability to measure a single construct. Link to Monte Carlo calculator: http://www.allenandunwin.com/spss4/further_resources.html Download the file titled MonteCarloPA.zip.