This tutorial gives the detailed explanation measure of dispersion part II (standard deviation, properties of standard deviation, variance, and coefficient of variation). It also explains why std. deviation is used widely in place of variance. This tutorial also teaches the MS excel commands of calculation in excel.
Measure of dispersion has two types Absolute measure and Graphical measure. There are other different types in there.
In this slide the discussed points are:
1. Dispersion & it's types
2. Definition
3. Use
4. Merits
5. Demerits
6. Formula & math
7. Graph and pictures
8. Real life application.
Measure of dispersion has two types Absolute measure and Graphical measure. There are other different types in there.
In this slide the discussed points are:
1. Dispersion & it's types
2. Definition
3. Use
4. Merits
5. Demerits
6. Formula & math
7. Graph and pictures
8. Real life application.
Topic: Population And Sample
Student Name: Sidera Saleem
Class: B.Ed. 2.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 11: Goodness-of-Fit and Contingency Tables
11.2: Contingency Tables
TOPIC OUTLINE: 1. The Normal Curve
a. Definition/Description
b. Area Under Normal Curve
2. Standard Scores
a. Z-Scores
b. T-Scores
c. Other Standard Scores
Karl Friedrich Gauss:
one of the scientist that developed the concept of normal curve.
Normal Curve
is a continuous probability distribution in statistics
Karl Pearson:
first to refer to the curve as “Normal Curve”
Asymptotic:
approaching the x-axis but never touches it
Symmetric:
made up of exactly similar parts facing each other
STANDARD SCORES
-is a raw score that has been converted from one scale to another scale.
Z-scores
called a zero plus or minus one scale
Scores can be positive and negative
T-Scores
a none of the scores is negative. It can be called a 50 plus or minus ten scale. ( 50 mean set and 10 SD set )
Stanine: Standard Nine
(STAndard NINE) is a method of scaling test scores on a nine-point standard scale with a mean of five and a standard deviation of two.
This tutorial explain the measure of central tendency (Mean, Median and Mode in detail with suitable working examples pictures. The tutorial also teach the excel commands for calculation of Mean, Median and Mode.
Topic: Population And Sample
Student Name: Sidera Saleem
Class: B.Ed. 2.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 11: Goodness-of-Fit and Contingency Tables
11.2: Contingency Tables
TOPIC OUTLINE: 1. The Normal Curve
a. Definition/Description
b. Area Under Normal Curve
2. Standard Scores
a. Z-Scores
b. T-Scores
c. Other Standard Scores
Karl Friedrich Gauss:
one of the scientist that developed the concept of normal curve.
Normal Curve
is a continuous probability distribution in statistics
Karl Pearson:
first to refer to the curve as “Normal Curve”
Asymptotic:
approaching the x-axis but never touches it
Symmetric:
made up of exactly similar parts facing each other
STANDARD SCORES
-is a raw score that has been converted from one scale to another scale.
Z-scores
called a zero plus or minus one scale
Scores can be positive and negative
T-Scores
a none of the scores is negative. It can be called a 50 plus or minus ten scale. ( 50 mean set and 10 SD set )
Stanine: Standard Nine
(STAndard NINE) is a method of scaling test scores on a nine-point standard scale with a mean of five and a standard deviation of two.
This tutorial explain the measure of central tendency (Mean, Median and Mode in detail with suitable working examples pictures. The tutorial also teach the excel commands for calculation of Mean, Median and Mode.
Unit-I Measures of Dispersion- Biostatistics - Ravinandan A P.pdfRavinandan A P
Biostatistics, Unit-I, Measures of Dispersion, Dispersion
Range
variation of mean
standard deviation
Variance
coefficient of variation
standard error of the mean
Statistical tests /certified fixed orthodontic courses by Indian dental academy Indian dental academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Indian dental academy provides dental crown & Bridge,rotary endodontics,fixed orthodontics,
Dental implants courses.for details pls visit www.indiandentalacademy.com ,or call
0091-9248678078
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.
Answer the questions in one paragraph 4-5 sentences. · Why did t.docxboyfieldhouse
Answer the questions in one paragraph 4-5 sentences.
· Why did the class collectively sign a blank check? Was this a wise decision; why or why not? we took a decision all the class without hesitation
· What is something that I said individuals should always do; what is it; why wasn't it done this time? Which mitigation strategies were used; what other strategies could have been used/considered? individuals should always participate in one group and take one decision
SAMPLING MEAN:
DEFINITION:
The term sampling mean is a statistical term used to describe the properties of statistical distributions. In statistical terms, the sample meanfrom a group of observations is an estimate of the population mean. Given a sample of size n, consider n independent random variables X1, X2... Xn, each corresponding to one randomly selected observation. Each of these variables has the distribution of the population, with mean and standard deviation. The sample mean is defined to be
WHAT IT IS USED FOR:
It is also used to measure central tendency of the numbers in a database. It can also be said that it is nothing more than a balance point between the number and the low numbers.
HOW TO CALCULATE IT:
To calculate this, just add up all the numbers, then divide by how many numbers there are.
Example: what is the mean of 2, 7, and 9?
Add the numbers: 2 + 7 + 9 = 18
Divide by how many numbers (i.e., we added 3 numbers): 18 ÷ 3 = 6
So the Mean is 6
SAMPLE VARIANCE:
DEFINITION:
The sample variance, s2, is used to calculate how varied a sample is. A sample is a select number of items taken from a population. For example, if you are measuring American people’s weights, it wouldn’t be feasible (from either a time or a monetary standpoint) for you to measure the weights of every person in the population. The solution is to take a sample of the population, say 1000 people, and use that sample size to estimate the actual weights of the whole population.
WHAT IT IS USED FOR:
The sample variance helps you to figure out the spread out in the data you have collected or are going to analyze. In statistical terminology, it can be defined as the average of the squared differences from the mean.
HOW TO CALCULATE IT:
Given below are steps of how a sample variance is calculated:
· Determine the mean
· Then for each number: subtract the Mean and square the result
· Then work out the mean of those squared differences.
To work out the mean, add up all the values then divide by the number of data points.
First add up all the values from the previous step.
But how do we say "add them all up" in mathematics? We use the Roman letter Sigma: Σ
The handy Sigma Notation says to sum up as many terms as we want.
· Next we need to divide by the number of data points, which is simply done by multiplying by "1/N":
Statistically it can be stated by the following:
·
· This value is the variance
EXAMPLE:
Sam has 20 Rose Bushes.
The number of flowers on each b.
7 QC Tools PDF | An eBook with A Detailed Description and Practical ExamplesShakehand with Life
Follow the link https://payhip.com/b/VCtH to download the complete eBook of '7 QC Tools PDF.
Train yourself and be the master of 7 QC Tools with this eBook of 7 QC Tools in PDF with a detailed description and illustrative examples of all 7 Quality Control Tools. Learn to construct the Histogram, Pareto Chart, Scatter Chart, Control Charts in Excel and analyze the data in Excel.
Activity network diagram helps to schedule a project efficiently. It gives an idea of the minimum and maximum time to complete a project. The 7th tool among the New 7 management development tool.
Process Decision and Program is designed to achieve a particular objective. Used especially in new process development. The tool avoids surprises and identifies the possible countermeasures.
Prioritization matrix prioritizes issues, based on weighted criteria using a combination of Tree and Matrix diagram. It is a very important tool for the management to prioritize the issue to work on.
Interrelationship digraph is another important tool out of New 7 Quality Tools. It helps to clarify the interrelationship of many factors of a complex situation. It identifies key drivers and the key outcomes.
New 7 QC Tools; Affinity diagram, Interrelationship digraph, Tree diagram, Matrix diagram, Prioritization matrices, Process Decision and Program Chart (PDPC), and Activity Network Diagram. The New 7 QC Tools also known as 7 Management Development Tools. These tools unlike the 7 fundamentals quality control tools, process the subjective data and help the management to make the better decision, regarding project management and quality improvement.
The affinity diagram is one among the New 7 Quality Contol tools, helps to categorize the same type of ideas or issues. Affintiy diagram process the same type of subjective data in a particular category.
Course Catalog 2016-17, is the overview of various corporate trainings courses for our deemed clientele, so that they can lock the dates for in-house training facilitation at company site in the year of 2016-17.
7 QC Tools and SPC Training Dec.2015. Send nominations before 15 Nov. 2015 and get an attractive discount for early birds. Group discount for 5 or more is also available. For nomination form or call; 9468267324, 8684861131, e-mail shakehandwithlife@gmail.com,
Hypothesis is usually considered as the principal instrument in research and quality control. Its main function is to suggest new experiments and observations. In fact, many experiments are carried out with the deliberate object of testing hypothesis. Decision makers often face situations wherein they are interested in testing hypothesis on the basis of available information and then take decisions on the basis of such testing. In Six –Sigma methodology, hypothesis testing is a tool of substance and used in analysis phase of the six sigma project so that improvement can be done in right direction
People are often like a train, some are like its engine, leading the train forward. Some are like the bogies, chugging along, following the leader. While a few others are like the brakes, putting a stop to its motion. A leader is like the engine of this train. A man who will lead with trust and honesty, with speed and also ensure there are no accidents.”…………………………Narender Sharma
Times of India, LEAD INDIA, MAIL BOX, Page 2, dated; Aug. 24, 2007
Go through the seven quality tools training quiz and compare, how much you have learnt from this online training of 7QC tools? The quiz has 15 multiple choice questions based on seven quality tools. Choose one answer out of the given choices for every question write these choices on a paper. After completing the quiz compare yourself with answer key in the end of quiz. Find yourself where you are in learning of 7 QC Tools. If you find your performance is not up to the mark then go again for the training of seven QC tools. You may do it as many times as you want. Improve your performance every time you go through the training.
Seven QC Tools Training; Control Charts (Mean Chart and Range Chart)Shakehand with Life
Seven quality tools training is incomplete without learning of control charts. Control charts help to control the process with in the set control limits. Control charts are mainly two types; Mean Chart and Range Chart. Mean chart showcase the process data complied by the designated person and signal when the data go beyond the control limits. Every process has variation and due to this variation data get fluctuated. This fluctuation shown on the mean and range chart by data points. The causes of fluctuation in the data are assignable and common causes. Due to common causes data fluctuated around the average of the data but due to assignable cause data go beyond the control limits. When data go beyond the control limits control charts warn the operator that something is going wrong in the process and need to special attention. Mean chart is the spread of the mean values of the samples around the mean line. Range chart is spread of the range of samples around the mean line of range.
Scatter diagram is the graphical presentation of relationship between two variables. Scatter diagram is an important tool out of 7 fundamental tools of quality control. Scatter diagram helps to confirm the degree of relationship between cause and effect. Here cause is an independent variable and effect is dependent variable. Scatter diagram is an important statistical tool to analyze the relationship of two variables. To create the scatter diagram take the values of independent variable on X-Axis where as the dependent variable is taken on Y-Axis. Plot the intersection points of X and Y on the graph. Draw a straight line passing through all the points. Analyze the pattern of the points. For different degree of relationship different pattern of scatter diagram is formed. If Y increases as X increases and data points are on the straight line then there is perfect positive correlation. If Y decreases with increase of X and data points are on the straight line then there is perfect negative correlation. But when data is scattered all over the graph then there is zero correlation.
Process flow chart or Flow process chart among the seven quality control tools considered as the first and base of application of every quality tool. Process flow chart is the pictorial representations of all activities of process using different shape of boxes. Process flow chart is the guiding map of the whole process. With a single view, process flow chart gives almost every information about the whole process. Process flow diagram inform the starting and end point of the process along with the operations, decision, storage, delay, direction etc. through which the product or service passing. Different shapes like circle, rectangular circle, diamond, rectangle, arrows, D shapes, inverted rectangles etc. are used to construct process flow diagram. Process flow diagram clearly explains which operation is followed by which operation. Process flow chart helps to find out the potential trouble spots in the process so that corrective action can be taken to remove the hurdles at an early stage. To audit the whole process, process flow chart plays a vital role. Even for the new comers in the organization, process flow chart is an opportunity to understand their process easily.
Visit www.shakehandwithlife.in to buy this Book. This E-Book on 7QC tools is complete training workshop for Junior, Middle and Senior quality quality professionals. The USP of this workshop is the text and graphics in the book for understanding the tools while applying to solve the practial problems. Illustrative worked examples , Construction of tools in Excel like Histogram, Pareto Chart, Scatter Diagram, Control charts are beautifully explained in step step manner. A newcomer in the area of quality can easily understand how the tools be used and applied.
Measure of dispersion part I (Range, Quartile Deviation, Interquartile devi...Shakehand with Life
This tutorial gives the detailed explanation of "Measure of Dispersion" (Range, Quartile Deviation, Interquartile Range, Mean Deviation) with suitable illustrative example with MS Excel Commands of calculation in excel.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
2. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 2
www.shakehandwithlife.puzl.com
3. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 3
www.shakehandwithlife.puzl.com
Content of this Tutorial
S. No. Topic Page No.
1
Standard Deviation
Definition
Method of Calculation for
I. Individual Series
II. Discrete Series
III. Continuous Series
Difference between Mean
Deviation and Standard
Deviation
4-10
2
Mathematical Properties
of Standard Deviation 11-13
3
Variance
14
4
Coefficient of Variation
15-16
5
Excel Commands
Standard Deviation
Variance
Coefficient of Variation
17
4. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 4
www.shakehandwithlife.puzl.com
Standard Deviation
Standard deviation is the most important and widely used measure of dispersion. It was first used by Karl
Pearson in 1893.
Standard deviation is defined as the square root of the arithmetic mean of the squares of the deviation of
the values taken from the mean. Standard deviation is denoted by small Greak letter (read as sigma)
Standard deviation is also called as root mean square deviation.
In other way Standard Deviation is defined as the square root of the sum of the squares of the difference
of each observation from its mean divided by the no. of observations in the sample or population.
Mathematically Standard Deviation for a sample
√
∑ ̅
Standard Deviation for Population
√
∑ ̅
5. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 5
www.shakehandwithlife.puzl.com
Example 1
̅ ̅
̅
̅ ∑ ̅
Sample Standard deviation for the given data
√
∑ ̅
√ √
Population Standard deviation
√
∑ ̅
√ √
Big Question - ?
Why we use for sample standard deviation and for population standard deviation?
This is because of degrees of freedom. Suppose you are asked to choose 10 numbers. You then have the
freedom to choose 10 numbers as you please, and we say you have 10 degrees of freedom. But suppose a
condition is imposed on the numbers. The condition is that the sum of all the numbers you choose must be
100. In this case, you cannot choose all 10 numbers as you please. After you have chosen the ninth number
let’s say the sum of the nine numbers is 94. Your tenth number then has to be 6, and you have no choice.
Thus you have only 9 degrees of freedom.
6. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 6
www.shakehandwithlife.puzl.com
In general, if you have to choose numbers, and a condition on their total is imposed, you will have only
degrees of freedom.
In a simple language, we can understand this way. The largest sample size of a population of number is
. e.g. if we want to choose largest sample out of 10 numbers then it will 9 i.e. 10-1 because if we take
10 instead of 9 then it is the size of population.
Difference between Mean Deviation and Standard Deviation
Both these measures of dispersion are based on each and every item of the series. But they differ in the
following respects;
1. Algebraic signs of deviation(+ or -) are ignored while calculation mean deviation whereas in the
calculation standard deviations signs of deviations are not ignored i.e. they are taken into account. Ref.
Tutorial (Measure of Dispersion-Part-I)
2. Mean deviation can be computed either from mean, median or Mode. The standard deviation, on the
other hand, is always computed from the mean because the sum of the squares of the deviations taken
from mean is minimum
Calculation of Standard Deviation
Individual Series
Actual Mean Method
When deviations are taken from the actual mea the following formula is used;
√
∑
√
∑
̅
Example 1 Calculate the standard deviation form the following data;
X: 16, 20, 18, 19, 20, 20, 28, 17, 22, 20
Solution : Calculation of Standard Deviation
̅
̅
N=10, ∑ ,
7. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 7
www.shakehandwithlife.puzl.com
̅
Standard Deviation
√
∑
√ √
Assumed Mean Method
When the actual mean is not a whole number but in fraction, then it becomes difficult to take deviations
from mean and then obtain the squares of these deviations. To save time and labour, we use assumed mean
method or called shortcut method. When deviations are taken from assumed mean, the following formula is
used:
√
∑
(
∑
)
Steps of Calculation
1) Any one of items in the series is taken as assumed mean, A.
2) Take the deviations of the items from the assumed mean i.e. and denote these deviations by .
Sum up these deviations to obtain .
3) Then square these deviations taken from assumed mean and obtain the total i.e.
4) Substitute the value of , in the above formula. The result will give the value of standard
deviation.
Example 2 Calculate the standard deviation of the following series:
7, 10, 12, 13, 15, 20, 21, 28, 29, 35
Use assumed mean method.
Solution : Calculation of Standard Deviation
8. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 8
www.shakehandwithlife.puzl.com
√
∑
(
∑
)
√ ( ) √ √
Method based on Actual data:
When number of observations are few, standard deviation can be calculated by using the actual data. When
this method is use, the following formula is used;
√
∑
(
∑
) √
∑
̅
Example 3 Calculate the standard deviation from the following series;
X: 16, 20, 18, 19, 20, 20, 28, 17, 22, 20
Solution : Calculation of Standard Deviation
16 256
20 400
18 324
19 361
20 400
20 400
28 784
17 289
22 484
20 400
√
∑
(
∑
) √ ( )
√ √
Discrete Series
For calculating standard deviation in discrete series, the following three methods may be used:
Actual Mean Method
Under this method, deviation of the items are taken from actual mean i.e. we find ̅ and denote these
deviations by . Then these deviations are squared and multiplies by their respective frequencies. The
following formula is used to calculate the standard deviation.
√ ̅
However , this method is rarely used in practice because if the actual mean is in fraction, the calculations
becomes tedious and time consuming.
9. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 9
www.shakehandwithlife.puzl.com
Assumed Mean Method
When this method is applied, the following formula is used :
√ ( )
Example 4 Calculate the standard deviation from the data given below
Solution : Calculation of Standard Deviation
√ ( ) √ ( )
√ √
Continuous Series or grouped data
In this series the procedure of calculating standard deviation by actual mean method and the assumed
mean method is same as in discrete series. The only difference is, first find the mid – values (m) of the
continuous data and move as in the discrete series.
Step Deviation Method
This method is used to simplify calculations. Under it, we divide the deviations taken from assumed mean
(d) by the class interval (i) and get step deviation of i.e. The remaining process remains as such
mentioned in assumed mean method. The formula for calculating standard deviation is ;
√ ( )
10. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 10
www.shakehandwithlife.puzl.com
Example 5 Calculate the mean and the standard deviation for the following data ;
Solution : Calculation of Mean and Standard Deviation
A
̅
√ ( ) √ ( )
√ √
11. Shakehand with Life “Promoting quality culture in every sphere of human life.” Page 11
www.shakehandwithlife.puzl.com
To buy this complete tutorial
Visit
www.shakehandwithlife.puzl.com