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TELLS WHO WAS MEASURED, WHAT WAS MEASURED, HOW THE DATE WERE COLLECTED, WHERE THE DATA WERE COLLECTED, ,AND WHEN AND WHY THE STUDY WAS PERFORMED |
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SYSTEMATICALLY RECORDED INFORMATION, WHERE NUMBERS OR LABELS, TOGETHER WITH ITS CONTEXT |
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AN ARRANGMENT OF DATA IN WHICH EACH ROW REPRESENTS A CASE AND EACH COLUMN REPRESENTS A VARIABLE |
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AN ARRANGEMENT OF DATE IN WHICH EACH ROW REPRESENTS A CASE AND EACH COLUMN REPRESENTS A VARIABLE |
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AN INDIVIDUAL ABOUT WHOM OR WHICH WE HAVE DATA |
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HOLD INFORMATION ABOUT THE SAME CHARACTERICS FOR MANY CASES |
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VARIABLE THAT NAMES CATEGORIES (WITH WORDS OR NUMBERS) |
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VARIABLE IN WHICH THE NUMBERS ACT AS NUMERICAL VALUES AND THESE VALUES ALWAYS HAVE UNITS |
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A QUANTITY OR AMOUNT ADOPTED AS A STANDARD OF MEASUREMENT, SUCH AS DOLLARS, HOURS, OR GRAMS |
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LISTS THE CATEGORIES IN A CATEGORICAL VARIABLE AND GIVES THE COUNT OR PERCENTAGE OF OBSERVATIONS OF EACH CATEGORY |
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GIVES POSSIBLE VALUES OF THE VARIABLE AND THE RELATIVE GREQUENCY OF EACH VALUE |
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EACH DATA VALUE SHOULD BE REPRESENTED BY THE SAME AMOUNT OF AREA |
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SHOW A BAR REPRESENTING THE COUNT OF EACH CATEGORY IN A CATEGORICAL VARIABLE |
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SHOW HOW A "WHOLE" DIVIDES INTO CATEGORIES BY SHOWING A WEDGE OF A CIRCLE WHOSE AREA CORRESPONDS TO THE PROPORTION IN EACH CATEGORY |
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DISPLAYS THE COUNTS AND SOMETIMES, PERCENTAGES OF INDIVIDUALS FALLING INTO NAMES CATEGORIES ON TWO OR MORE VARIABLES. THE TABLE CATEGORIZES THE INDIVIDUALS ON ALL VARIABLES AT ONCE, TO REVEAL POSSIBLE PATTERNS IN ONE VARIABLE THAT MAY BE CONTINGENT ON THE CATEGORY OFF THE OTHER |
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THE DISTRIBUTION OF EITHER VARIABLE ALONE IS CALLED THE MARINAL DISTRIBUTION. THE COUNTS OR PERCENTAGES ARE THE TOTALS FOUND IN THE MARGINS (LAST ROW OR COLUMN) OF THE TABLE |
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DISTRIBUTION OF A VARIABLE RESTRICTING THE WHO TO CONSIDER ONLY A SMALLER GROUP OF INDIVIDUALS |
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WHEN AVERAGES ARE TAKEN ACROSS DIFFERENT GROUPS, THEY CAN APPEAR TO CONTRADICT THE OVERALL AVERAGES |
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USES ADJACENT BARS TO SHOW THE DISTRIBUTION OF VALUES IN A QUANTITATIVE VARIABLE. EACH BAR REPRESENTS A FREQUENCY OF VALUES FALLING IN AN INTERBAL OF VALUES |
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SHOWS QUANTITATIVE DATA VALUES IN A WAY THAT SKETCHES THE DISTRIBUTION OF THE DATA |
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A DOT FOR EACH CASE AGAINST A SINGLE AXIS |
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SINGLE VS. MULT. MODES SYMMETRY VS. SKEWNESS |
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SUMMERIZES THE ENTIRE DISTRIBUTION WIHT A SINGLE NUMBER (TYPICAL VALUE) |
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HOW TIGHTLY THE VALUES ARE CLUSTERED AROUND THE CENTER |
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A HUMP OR LOCAL HIGH POINT IN THE SHAPE OF THE DISTRIBUTION OF A VARIABLE. THE LOCATION OF THE MODE CHANGED WHEN THE SCALE OF THE HISTOGRAM IS CHANGED. |
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DISTRIBUTION THAT IS ROUGHLY FLAT |
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2 HALVES ON EITHER SIDE OF THE CENTER LOOK APPROXIMATELY LIKE MIRROR IMAGES OF EACH OTHER |
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PARTS THAT TYPICALLY TRAIL OFF ON EITHER SIDE.
LONG TAILS STRAGGLE OFF FOR SOME DISTANCE AND SHORT TAILS DON'T |
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NOT SYMMETICA AND ONE TAIL STRETCHES OUT FATHER THAN THE OTHER |
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EXTREME VALUES THAT DON'T APPEAR TO BELONG WITH THE REST OF THE DATA. |
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DISPLAYS DATA THAT CHANGE OVER TIME. SUCCESSIVE VALUES ARE CONNECTED WITH LINES TO SHOW TRENDS MORE CLEARLY. |
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MIDDLE VALUE WITH 1/2 OF THE DATA ABOVE AND 1/2 BELOW |
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STANDARD DEVIATION, IQR AND RANGE |
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THE DIFFERENCE BETWEEN THE HIGHEST VALUES AND THE LOWEST VALUES |
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Q1- 1/4 BELOW IT Q3- 1/4 ABOVE IT
THE MEDIAN DIVIDES IT INTO 4 EQUAL PARTS |
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- THE MINI AND MAX - Q1 & Q2 - MEDIAN |
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DISPLAYS 5 # SUMMARY AS A CENTRAL BOX WITH WHISKERS THAT EXTEND TO THE NON-OUTLYING DATA VALUES. EFFECTIVE IN COMPARING GROUPS |
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FOUND BY SUMMING ALL DATE VALUES AND DIVIDING BY THE COUNT |
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SUM OF SQUARED DEVIATIONS FROM THE MEAN, DIVIDED BY THE COUNT MINUS 1 |
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THE SQUARE ROOT OF THE VARIANCE |
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- MEDIANS--> WHICH GROUPS HAS HIGHER CENTER - IQR--> WHICH GROUP IS MORE SPREAD OUT - SIZE OF IQU--> ARE THE MEDIANS VERY DIFFERENT - CHECK OULIERS |
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ADD A CONSTANT TO EACH DATA VALUE ADDS THE SAME C ONTANT TO THE MEAN, MEDIAN, AND Q'S, BUT DOES NOT CHANGE THE SD OR IQR |
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MULTIPLYING EACH DATE VALUE BY A CONSTANT MULTIPLIES BOTH THE MEASURES OF POSITION AND THEMEASURES OF SPREAD |
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CAN BE COMPARED AND COMBINED EVEN IF THE ORGINAL VARIABLES HAD DIFFERENT UNITS AND MAGNITUDES |
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CAN BE COMPARED AND COMBINED EVEN IF THE ORGINAL VARIABLES HAD DIFFERENT UNITS AND MAGNITUDES |
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A VALUE FOUND BY STUBTRACTING THE MEAN AND DIVIDING BY THE STANDARD DEVIATION |
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USEFUL FAMIL OF MODELS FOR UNIMODAL, SYMMETRIC DISTRIBUTIONS |
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NUMERICALLY VALUED ATTRIBUTE FOR A MODEL |
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A VALUE DATA CALCUALATED FROM DATA TO SUMARIZE ASPECTS OF THE DATA |
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TELLS HOW MANY STANDARD DEVIATIONS A VALES IS FROM THE MEAN. THEY HAVE A MEAN OF ZERO AND A STANDARD DEVIATION OF 1. |
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STANDARD DEVIATION = 1 MEAN = 1 |
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CORRESPONDES TO A Z SCORE AND GIVE THE PERCENTAGE OF VALUES IN A STANDARD NORWAL DISTRIBUTION FOUND AT THAT Z SCORE OR BELOW |
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A DISPLAY TO HALP ASSESS WHETHER A DISTRIBUTION OF DATA IS APPROZIMATELY NORMAL. IF THE PLOT IS ALMOST STRIAHGT, THE DATA SATISFY THE NEARLY NORMAL CONDITION |
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CHANGING CENTER AND SPREAD |
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EQUIVALENT TO CHANGING ITS UNITS |
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