what does quantitative measure mean in laymans terms and how can it relate in the workplace?
336247
Quantitative relates to quantity. In a workplace, it could relate for example to sales. In quantitative measurement, salesmen would get ranked on how many $$$ in sales they did. In qualitative measurement, they might get ranked on things like "customer satisfaction" or "product knowledge"...\nQuantitative tends to be objective, where qualitative can be subjective.
681452
These are not "subjects." That's like asking why they can't make your bank balance your paycheck.\n\nThese "quotients" measure a person's potential rate of learning for academics and problem-solving (intelligence) and self-awareness (emotional).\n\nSkills related to these measures are constantly being taught in school. Citizenship, organizational skills, goal-setting, emotional vocabulary, etc., and all the academic subjects.
560950
Variations in measurement attributable to peoples' behaviour.
529226
I am assuming primarily that you are talking about programmers. Being that I am one, I can tell you that some of the tools used to gauge productivity in companies is the good old "number of bugs versus how many lines written" method. If someone has 3 bugs in 20 lines of code, they are said to be not as productive as someone with 3 bugs in 200 lines of code. \n\nHowever, I will tell you now that in the world of programming there is a serious debate raging on about if measurements like this truly work for showing who is better or not. \n\nI rather determine worth and productivity based on if the programmer is willing to work with you, wants help on occasion, knowledgeable in general, and willing to work hard in fixing any known bugs.\n\nGeneral rule of thumb, if you find a programmer working hard, reliable, there at their desk every day willing to work with you to solve problems, they are worth their weight in gold. Even if they can't slam out 1000+ lines of code a day. Besides, what is lines of code when you can cut and paste?\n\nThis is only one of several tools, but a popular one you will hear.
11226
Qualitative analysis answers the question what substances or elements are within a sample. Quantitative analysis answers the question how much of these substances are within the sample.\n\nIn both cases, a negative answer means "we didn't find anything using the methods we had", not "there isn't anything of this substance inside".
177927
It is a system of measurement used to characterize the relative density of a substance X-rayed. Helps radiologist distinguish between air, fat, water, soft tissues, bones etc. on CT scans for example.
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When estimating some value, there will always be an error due to innaccuracies and inconsistencies in the measurement and calculation stages.\n\nThe size of the error explains the range of possible values that the actual measurement falls in. So a measurement of 30 ± 2 means the range of possible values is 28 to 32.\n\nIf the error of the estimate becomes larger than the estimate, then the estimate is useless because it hasn't narrowed down the range of possible values.\n\n30 ± 30 means a range from 0 to 60. This effectively means the value could be anything from nothing to a large amount, which is not a useful estimation of the value.
1062399
Mean is the average of the data.\nMedian is the middle number (if placed in ascending/descending order)\nMode is the number that appears the most.\n\nExamples:\n\nLet's say you are trying to discover the force of gravity by measuring the time it takes a car to roll down a ramp.  You know the length of the ramp and the angle of the ramp and therefore, need only a good approximation of the time that it takes for the car to go down the ramp (your number will be low do to friction).\n\nLet's say that these are the times that you got from 10 trials:\n\n\n9.3\n9.3\n9.9\n8.8\n9.5\n9.7\n15.4  (the car came off the track and was slowed down a lot)\n9.6\n8.9\n9.2\n\nThen you would have had a mean of 9.96\na median of  9.4 (line them up in ascending oder 8.9, 8.9, 9.2, 9.3, 9.3, 9.5, 9.6, 9.7, 9.9, 15.4 and since there is an even number of data points, take the mean of the 5th and 6th)\nand a mode of 9.3\n\nNow 15.4 is obviously a bad point.  Removing it we get:\na mean of about 9.7\na median of  9.3\nand a mode of 9.3\n\nSo only the mean really changes, this is because the mode and median are designed to get rid of "bad" data points.
869354
standard deviation is one of measure of variability use in statistics which has the same unit as the given data and is equivalent ot the square root of the variance.\n\nIt measures how all the data varies. It indicates how the data in a distribution scatter or spread.\n\nThe lower the standard deviation, the closer are all the data around the mean.\nThat is, the data are not scattered and they are less heterogenuous, less variable.\n\nThe greater its value, the more the spreadness of the data around the mean.\n\nFor example,\nGiven:\nA: 45,46,40,43,48,46\nB:10,45,28,100,158,468\n\nThe standard deviation of the data A is 2.804757863\nThe standard deviation of the data B is 171.9400089\n\n]since the statndard deviation of the data A is less that in B,\nthe data in A are closer to each other, compare to the data B.
1065529
Sure.... quantitative (by the numbers) analysis is always useful in comparisons.  I always like to add qualitative analysis to make sure I have the subjective aspects in a comparison accounted for as well.  Good luck.
768092
My friend just answered this question for AIU Online.\n\nA job analysis basically keeps employees on track since their job duties would be clearly outlined in the analysis. That's how productivity is increased. It sounds like a hard question, but it's a really simple concept.\n\nGood luck!
355877
There are two types of traits - Qualitative and quantitative.\n\nQuantitative traits are the ones which can be counted - e.g. your blood pressure, or your height etc, the size of the lumen of your aorta.\n\nQualitative traits are the ones which cannot be counted per se- e.g. the color of ur eyes, shape of your face, how good you feel, how successful you are, etc. However you can try to get surrogate measures for counting qualitative traits. For e.g. you can quantify how good you feel by determining the serotonin levels in the relevant parts of your brain, or something like that.
349961
Qualitative is contrasted with quantitative. Qualitative deals with words or ideas as data rather than with numbers. For example, if you ask people to tell you why we are at war with Iraq, and you record and summarize their answers, this would be qualitative. Usually it's much more open-ended than quantitative, meaning that you allow people to give their views in their own terms. This also usually makes it more difficult to interpret qualitative data, although many would argue that it more accurately reflects people's views.\nWith quantitative research, you immediately convert answers to numbers. E.g., "how much do you agree with the war" on a scale from 1 to 5. Or, Do you agree or disagree. Notice that the answers can easily be summarized as the percent who agree or disagree, or how many agree with what strength. But respondents don't have the option of explaining their views in any detail.\nGenerally, interviews and focus groups are techniques of choice for qualitative researchers; surveys or questionnaires are the techniques preferred by quantitative researchers.\nYou can find many good sources on qualitative research  at any college library or at a book site such as Amazon.
605218
First, some definitions....\n\nWhen a company needs to do something to fix a short-term issue that's called Tactical.\n\nWhen a company is thinking say, how it can add £20m to it's annual profits by say adding a new product line, that's strategy - it's about thinking long term about growth and change.\n\nSo Strategic and Broad Thinking is all about seeing the big picture - it's about knowing where everything slots together at a high level - not how individual jobs are done in the company.
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"The law of averages" is often used as a colloquial expression - as in "Well, I haven't had a best answer yet today, but I've answered 10 questions and by the law of averages I have to have one soon!"\n\nAnd in that context, it's not really meaningful.\n\nIn mathematics, on the other hand, there are 3 types of 'average' - mean, median and mode.\n\nMean is what everyone else here has been describing - sum all the numbers in a set and divide by the number of items in the set.\n\nMedian is the number in the middle - it's the number that has at most half the other numbers above it and at most half below it ("at most" because it might be one of the numbers itself)\n\nMode is the number with the most items equal to it.\n\nFor example - take a set of numbers 1,1,1,1,2,2,2,4,5,7.\n\nMean = 2.6 ((1+1+1+1+2+2+2+4+5+7)/10)\n\nMedian = 2 (1,1,1,1,2 below it; 2,4,5,7 above)\n\nMode = 1 (four one's, less of everything else)\n\nThey can all be useful - if you're told the average (mean) salary at a company is £20,000, for example, that doesn't sound too bad; but if 9 employees earn £10,000 and the boss earns £110,000, that's rubbish!  Either the median or the mode would give the game away here - they're both £10,000.
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Assessment is a matter of keen observation using a variety of strategies, techniques and tools and allowing students to demonstrate what they know in a variety of ways.  There is an excellent powerpoint presentation which you will find as the first link if you do a yahoo search for "difference between measurement and assessment".  I have attached it here, but it doesn't seem to work that way.  YOu don't need to have powerpoint on your computer to open it.  It should help you with this question.  I found it quite interesting, depsite having attended many sessions on this topic.  I hope you can find it.\n\nI have attached a few more websites that may be informative.  I hope this helps.
688085
density it mass per volume.\nlitre is a measure of volume.\n\nvalidity is not a physical quantity.