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210:) stack bars on top of each other so that the height of the resulting stack shows the combined result. Unlike a grouped bar chart where each factor is displayed next to another, each with their own bar, the stacked bar chart displays multiple data points stacked in a single row or column. This may, for instance, take the form of uniform height bars charting a
199:, for each categorical group there are two or more bars color-coded to represent a particular grouping. For example, a business owner with two stores might make a grouped bar chart with different colored bars to represent each store: the horizontal axis would show the months of the year and the vertical axis would show revenue.
341:
Can handle large amounts of data: Bar charts can handle large amounts of data and still provide a clear representation of the information. The bars can be made narrow or wide to fit a large number of categories or data points, and the use of color or patterns can make it easier to distinguish between
183:
Bar charts have a discrete domain of categories, and are usually scaled so that all the data can fit on the chart. When there is no natural ordering of the categories being compared, bars on the chart may be arranged in any order. Bar charts arranged from highest to lowest incidence are called Pareto
214:
with internal stacked colours indicating the percentage participation of a sub-type of data. Another example would be a time series displaying total numbers, with internal colors indicating participation in the total by sub-types. Stacked bar charts are not suited to data sets having both positive
179:
Bar graphs/charts provide a visual presentation of categorical data. Categorical data is a grouping of data into discrete groups, such as months of the year, age group, shoe sizes, and animals. These categories are usually qualitative. In a column (vertical) bar chart, categories appear along the
360:
Limited use for continuous data: Bar charts are not useful for displaying continuous data, such as temperature or time. For continuous data, a line chart or scatter plot may be more appropriate. Bar charts of continuous data with error bars are sometimes referred to as dynamite
337:
Easy to read and interpret: Bar charts are easy to read and interpret, even for people without a background in statistics or data visualization. The bars make it easy to compare values and see trends, making it a useful tool for communicating information to a wide range of
371:
May be misleading: Bar charts can be misleading if the scale is not appropriate or if the data is presented in a way that is designed to mislead the viewer. For example, if the y-axis is truncated, the differences between the bars may appear larger than they actually
345:
Customizable: Bar charts can be customized to suit the needs of the user. For example, the color, width, and height of the bars can be adjusted to make the chart more visually appealing, and labels and annotations can be added to provide additional
79:. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable.
349:
Useful for comparing values: Bar charts are particularly useful for comparing values between categories or data points. They allow for quick identification of differences and similarities, making it easy to draw conclusions and make
375:
Limited scope for multivariate data: Bar charts can only display one or two variables at a time, making them less useful for displaying multivariate data. In such cases, a scatter plot or heat map may be more
729:
364:
Limited use for small sample sizes: Bar charts may not be useful for displaying small sample sizes, as the bars may not accurately represent the data. In such cases, a
218:
Grouped bar charts usually present the information in the same order in each grouping. Stacked bar charts present the information in the same sequence on each bar.
65:
proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a
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Bar graphs can also be used for more complex comparisons of data with grouped (or "clustered") bar charts, and stacked bar charts.
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to be the first bar chart in history. Diagrams of the velocity of a constantly accelerating object against time published in
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Exports and
Imports of Scotland to and from different parts for one Year from Christmas 1780 to Christmas 1781
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681:"Dynamite plots in surgical research over 10 years: a meta-study using machine-learning analysis"
321:
Roles of the vertical and horizontal axes may be reversed, depending on the desired application.
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Replacing bar graphs of continuous data with more informative graphics: Are we making progress?
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Arithmetically, the area of each bar (rectangle) is determined a product of sides' lengths:
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horizontal axis and the height of the bar corresponds to the value of each category.
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468:; Robyn, Dorothy L. (1978), "Quantitative Graphics in Statistics: A Brief History",
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Riedel, Nico; Schulz, Robert; Kazezian, Vartan; Weissgerber, Tracey (2022-03-15).
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741:(directory of graphing software and online tools; many can handle bar charts)
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261:(bar) charts, are bar charts having bars with non-uniform widths. Generally:
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Example of a grouped (clustered) bar chart, one with horizontal bars.
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107:) about 300 years before can be interpreted as "proto bar charts".
557:"Data Visualization: A Guide to Visual Storytelling for Libraries"
2993:
2694:
30:"Bargraph" redirects here. For electronic bargraph displays, see
443:
Nicole Oresme and the
Medieval Geometry of Qualities and Motions
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Bars represent quantities with respective rectangles of areas
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247:* total emissions for that country (rectangle area = product
835:
103:(attributed to Jacobus de Sancto Martino or, perhaps, to
445:, Madison: Univ. of Wisconsin Press, pp. 85â99,
2657:
Autoregressive conditional heteroskedasticity (ARCH)
324:Examples of variable-width bar charts are shown at
91:(1759-1824) to have invented the bar chart and the
2119:
660:(Report). Scientific Communication and Education.
610:Data visualization : a practical introduction
187:
257:Variable-width bar charts, sometimes abbreviated
138:A vertical stacked bar chart with negative values
126:A vertical stacked bar chart with positive values
3072:
505:A Handbook of Statistical Graphics Using SAS ODS
2205:Multivariate adaptive regression splines (MARS)
760:
679:Doggett, Thomas J; Way, Connor (2024-01-08).
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241:* per-person CO2 emissions 1990-2018 (along
221:
235:* countries' respective populations (along
805:
767:
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678:
641:: CS1 maint: location missing publisher (
561:Journal of the Medical Library Association
501:
403:, similar appearance - for continuous data
1418:
588:
533:The Humongous Book of Statistics Problems
728:) is being considered for deletion. See
416:To include bar charts in Knowledge, see
225:
36:
476:(1), Taylor & Francis, Ltd.: 1â11,
437:
14:
3073:
2731:KaplanâMeier estimator (product limit)
531:Kelley, W. M.; Donnelly, R. A. (2009)
502:Der, Geoff; Everitt, Brian S. (2014).
2804:
2371:
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3041:
2741:Accelerated failure time (AFT) model
602:
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548:
527:
525:
368:or box plot may be more appropriate.
72:A bar graph shows comparisons among
3053:
2336:Analysis of variance (ANOVA, anova)
1188:
233:Variable-width bar chart relating:
24:
2431:CochranâMantelâHaenszel statistics
1057:Pearson product-moment correlation
387:Data and information visualization
97:The Commercial and Political Atlas
53:is a chart or graph that presents
25:
3092:
732:to help reach a consensus. âș
711:
597:
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3015:
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168:A vertical, grouped (clustered)
161:
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119:
3081:Statistical charts and diagrams
2690:Least-squares spectral analysis
188:Grouped (clustered) and stacked
1671:Mean-unbiased minimum-variance
774:
672:
649:
495:
482:10.1080/00031305.1978.10479235
458:
431:
354:
289:â horizontal-axis quantities (
197:grouped (clustered) bar charts
156:A horizontal stacked bar chart
13:
1:
2984:Geographic information system
2200:Simultaneous equations models
717:
607:Healy, Kieran Joseph (2019).
555:Reid, Nathalie (2018-01-12).
424:
331:
2167:Coefficient of determination
1778:Uniformly most powerful test
685:Postgraduate Medical Journal
535:. New York, NY: Alpha Books
394:to use in office suites, as
282:â vertical-axis quantities (
7:
2736:Proportional hazards models
2680:Spectral density estimation
2662:Vector autoregression (VAR)
2096:Maximum posterior estimator
1328:Randomized controlled trial
380:
57:with rectangular bars with
10:
3097:
2496:Multivariate distributions
916:Average absolute deviation
508:. Chapman and Hall - CRC.
82:
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2484:Structural equation model
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1235:Sample size determination
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666:10.1101/2022.03.14.484206
613:. Princeton, New Jersey.
470:The American Statistician
222:Variable-width (variwide)
2979:Environmental statistics
2501:Elliptical distributions
2294:Generalized linear model
2223:Simple linear regression
1993:HodgesâLehmann estimator
1450:Probability distribution
1359:Stochastic approximation
921:Coefficient of variation
730:templates for discussion
392:Enhanced Metafile Format
110:
2639:Cross-correlation (XCF)
2247:Non-standard predictors
1681:LehmannâScheffĂ© theorem
1354:Adaptive clinical trial
3035:Mathematics portal
2856:Engineering statistics
2764:NelsonâAalen estimator
2341:Analysis of covariance
2228:Ordinary least squares
2152:Pearson product-moment
1556:Statistical functional
1467:Empirical distribution
1300:Controlled experiments
1029:Frequency distribution
807:Descriptive statistics
693:10.1093/postmj/qgad134
418:Extension:EasyTimeline
254:
87:Many sources consider
42:
2951:Population statistics
2893:System identification
2627:Autocorrelation (ACF)
2555:Exponential smoothing
2469:Discriminant analysis
2464:Canonical correlation
2328:Partition of variance
2190:Regression validation
2034:(JonckheereâTerpstra)
1933:Likelihood-ratio test
1622:Frequentist inference
1534:Locationâscale family
1455:Sampling distribution
1420:Statistical inference
1387:Cross-sectional study
1374:Observational studies
1333:Randomized experiment
1162:Stem-and-leaf display
964:Central limit theorem
573:10.5195/jmla.2018.346
229:
215:and negative values.
101:The Latitude of Forms
40:
2874:Probabilistic design
2459:Principal components
2302:Exponential families
2254:Nonlinear regression
2233:General linear model
2195:Mixed effects models
2185:Errors and residuals
2162:Confounding variable
2064:Bayesian probability
2042:Van der Waerden test
2032:Ordered alternative
1797:Multiple comparisons
1676:RaoâBlackwellization
1639:Estimating equations
1595:Statistical distance
1313:Factorial experiment
846:Arithmetic-Geometric
269:that are respective
208:Composite bar charts
2946:Official statistics
2869:Methods engineering
2550:Seasonal adjustment
2318:Poisson regressions
2238:Bayesian regression
2177:Regression analysis
2157:Partial correlation
2129:Regression analysis
1728:Prediction interval
1723:Likelihood interval
1713:Confidence interval
1705:Interval estimation
1666:Unbiased estimators
1484:Model specification
1364:Up-and-down designs
1052:Partial correlation
1008:Index of dispersion
926:Interquartile range
273:of related pairs of
271:arithmetic products
2966:Spatial statistics
2846:Medical statistics
2746:First hitting time
2700:Whittle likelihood
2351:Degrees of freedom
2346:Multivariate ANOVA
2279:Heteroscedasticity
2091:Bayesian estimator
2056:Bayesian inference
1905:KolmogorovâSmirnov
1790:Randomization test
1760:Testing hypotheses
1733:Tolerance interval
1644:Maximum likelihood
1539:Exponential family
1472:Density estimation
1432:Statistical theory
1392:Natural experiment
1338:Scientific control
1255:Survey methodology
941:Standard deviation
255:
253:of sides' lengths)
204:Stacked bar charts
43:
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2941:National accounts
2911:Actuarial science
2903:Social statistics
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2723:Survival function
2708:
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2570:Granger causality
2411:Contingency table
2386:Survival analysis
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2215:Linear regression
2110:
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2081:Credible interval
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1649:Method of moments
1518:Parametric family
1479:Statistical model
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1323:Random assignment
1245:Statistical power
1179:
1178:
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1024:Contingency table
994:
993:
861:Generalized/power
620:978-0-691-18161-5
515:978-1-584-88784-3
466:Beniger, James R.
439:Clagett, Marshall
326:Wikimedia Commons
16:(Redirected from
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2921:Crime statistics
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2685:Fourier analysis
2672:Frequency domain
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2565:Structural break
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2474:Cluster analysis
2421:Log-linear model
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2284:Homoscedasticity
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2019:
2018:(KruskalâWallis)
2003:
1988:
1943:Cross validation
1928:
1910:AndersonâDarling
1857:
1844:
1843:
1815:Likelihood-ratio
1807:Parametric tests
1785:Permutation test
1768:1- & 2-tails
1659:Minimum distance
1631:Point estimation
1627:
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1578:Optimal decision
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1397:Quasi-experiment
1347:Adaptive designs
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1965:Rank statistics
1959:
1938:Model selection
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1884:Goodness of fit
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1688:Median unbiased
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1460:Order statistic
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2632:partial (PACF)
2623:
2621:
2615:
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2579:Specific tests
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2515:
2513:
2512:
2511:
2510:
2509:
2508:
2493:
2492:
2491:
2481:
2479:Classification
2476:
2471:
2466:
2461:
2456:
2451:
2445:
2443:
2437:
2436:
2434:
2433:
2428:
2426:McNemar's test
2423:
2418:
2413:
2408:
2402:
2400:
2390:
2389:
2365:
2364:
2361:
2360:
2357:
2356:
2354:
2353:
2348:
2343:
2338:
2332:
2330:
2324:
2323:
2321:
2320:
2304:
2298:
2296:
2290:
2289:
2287:
2286:
2281:
2276:
2271:
2266:
2264:Semiparametric
2261:
2256:
2250:
2248:
2244:
2243:
2241:
2240:
2235:
2230:
2225:
2219:
2217:
2211:
2210:
2208:
2207:
2202:
2197:
2192:
2187:
2181:
2179:
2173:
2172:
2170:
2169:
2164:
2159:
2154:
2148:
2146:
2136:
2135:
2132:
2131:
2126:
2120:
2112:
2111:
2108:
2107:
2104:
2103:
2101:
2100:
2099:
2098:
2088:
2083:
2078:
2077:
2076:
2071:
2060:
2058:
2052:
2051:
2048:
2047:
2045:
2044:
2039:
2038:
2037:
2029:
2021:
2005:
2002:(MannâWhitney)
1997:
1996:
1995:
1982:
1981:
1980:
1969:
1967:
1961:
1960:
1958:
1957:
1956:
1955:
1950:
1945:
1935:
1930:
1927:(ShapiroâWilk)
1922:
1917:
1912:
1907:
1902:
1894:
1888:
1886:
1880:
1879:
1877:
1876:
1868:
1859:
1847:
1841:
1839:Specific tests
1835:
1834:
1831:
1830:
1828:
1827:
1822:
1817:
1811:
1809:
1803:
1802:
1800:
1799:
1794:
1793:
1792:
1782:
1781:
1780:
1770:
1764:
1762:
1756:
1755:
1753:
1752:
1751:
1750:
1745:
1735:
1730:
1725:
1720:
1715:
1709:
1707:
1701:
1700:
1698:
1697:
1692:
1691:
1690:
1685:
1684:
1683:
1678:
1663:
1662:
1661:
1656:
1651:
1646:
1635:
1633:
1624:
1618:
1617:
1615:
1614:
1609:
1604:
1603:
1602:
1592:
1587:
1586:
1585:
1575:
1574:
1573:
1568:
1563:
1553:
1548:
1543:
1542:
1541:
1536:
1531:
1515:
1514:
1513:
1508:
1503:
1493:
1492:
1491:
1486:
1476:
1475:
1474:
1464:
1463:
1462:
1452:
1447:
1442:
1436:
1434:
1424:
1423:
1411:
1410:
1407:
1406:
1403:
1402:
1400:
1399:
1394:
1389:
1384:
1378:
1376:
1370:
1369:
1367:
1366:
1361:
1356:
1350:
1348:
1344:
1343:
1341:
1340:
1335:
1330:
1325:
1320:
1315:
1310:
1304:
1302:
1296:
1295:
1293:
1292:
1290:Standard error
1287:
1282:
1277:
1276:
1275:
1270:
1259:
1257:
1251:
1250:
1248:
1247:
1242:
1237:
1232:
1227:
1222:
1220:Optimal design
1217:
1212:
1206:
1204:
1194:
1193:
1181:
1180:
1177:
1176:
1173:
1172:
1170:
1169:
1164:
1159:
1154:
1149:
1144:
1139:
1134:
1129:
1124:
1119:
1114:
1109:
1104:
1099:
1093:
1091:
1085:
1084:
1082:
1081:
1076:
1075:
1074:
1069:
1059:
1054:
1048:
1046:
1040:
1039:
1037:
1036:
1031:
1026:
1020:
1018:
1017:Summary tables
1014:
1013:
1011:
1010:
1004:
1002:
996:
995:
992:
991:
989:
988:
987:
986:
981:
976:
966:
960:
958:
952:
951:
949:
948:
943:
938:
933:
928:
923:
918:
912:
910:
904:
903:
901:
900:
895:
890:
889:
888:
883:
878:
873:
868:
863:
858:
853:
851:Contraharmonic
848:
843:
832:
830:
821:
811:
810:
798:
797:
795:
794:
789:
783:
780:
779:
772:
771:
764:
757:
749:
743:
742:
713:
712:External links
710:
707:
706:
671:
648:
619:
596:
544:
521:
514:
494:
457:
451:
429:
428:
426:
423:
422:
421:
414:
409:
404:
398:
389:
382:
379:
378:
377:
373:
369:
362:
356:
353:
352:
351:
347:
343:
339:
333:
330:
319:
318:
317:
316:
304:
303:
299:
298:
297:
296:
295:
294:
287:
275:
274:
223:
220:
189:
186:
167:
160:
159:
155:
148:
147:
146:
145:
144:
137:
130:
129:
125:
118:
117:
116:
115:
114:
112:
109:
84:
81:
26:
9:
6:
4:
3:
2:
3093:
3082:
3079:
3078:
3076:
3061:
3060:
3051:
3049:
3048:
3039:
3037:
3036:
3031:
3025:
3023:
3022:
3013:
3012:
3009:
2995:
2992:
2990:
2989:Geostatistics
2987:
2985:
2982:
2980:
2977:
2975:
2972:
2971:
2969:
2967:
2963:
2957:
2956:Psychometrics
2954:
2952:
2949:
2947:
2944:
2942:
2939:
2937:
2934:
2932:
2929:
2927:
2924:
2922:
2919:
2917:
2914:
2912:
2909:
2908:
2906:
2904:
2900:
2894:
2891:
2889:
2886:
2884:
2880:
2877:
2875:
2872:
2870:
2867:
2865:
2862:
2861:
2859:
2857:
2853:
2847:
2844:
2842:
2839:
2837:
2833:
2830:
2828:
2825:
2824:
2822:
2820:
2819:Biostatistics
2816:
2812:
2808:
2803:
2799:
2781:
2780:Log-rank test
2778:
2777:
2775:
2771:
2765:
2762:
2761:
2759:
2757:
2753:
2747:
2744:
2742:
2739:
2737:
2734:
2732:
2729:
2728:
2726:
2724:
2720:
2717:
2715:
2711:
2701:
2698:
2696:
2693:
2691:
2688:
2686:
2683:
2681:
2678:
2677:
2675:
2673:
2669:
2663:
2660:
2658:
2655:
2653:
2651:(BoxâJenkins)
2647:
2645:
2642:
2640:
2637:
2633:
2630:
2629:
2628:
2625:
2624:
2622:
2620:
2616:
2610:
2607:
2605:
2604:DurbinâWatson
2602:
2600:
2594:
2592:
2589:
2587:
2586:DickeyâFuller
2584:
2583:
2581:
2577:
2571:
2568:
2566:
2563:
2561:
2560:Cointegration
2558:
2556:
2553:
2551:
2548:
2546:
2543:
2541:
2538:
2536:
2535:Decomposition
2533:
2532:
2530:
2526:
2523:
2521:
2517:
2507:
2504:
2503:
2502:
2499:
2498:
2497:
2494:
2490:
2487:
2486:
2485:
2482:
2480:
2477:
2475:
2472:
2470:
2467:
2465:
2462:
2460:
2457:
2455:
2452:
2450:
2447:
2446:
2444:
2442:
2438:
2432:
2429:
2427:
2424:
2422:
2419:
2417:
2414:
2412:
2409:
2407:
2406:Cohen's kappa
2404:
2403:
2401:
2399:
2395:
2391:
2387:
2383:
2379:
2375:
2370:
2366:
2352:
2349:
2347:
2344:
2342:
2339:
2337:
2334:
2333:
2331:
2329:
2325:
2319:
2315:
2311:
2305:
2303:
2300:
2299:
2297:
2295:
2291:
2285:
2282:
2280:
2277:
2275:
2272:
2270:
2267:
2265:
2262:
2260:
2259:Nonparametric
2257:
2255:
2252:
2251:
2249:
2245:
2239:
2236:
2234:
2231:
2229:
2226:
2224:
2221:
2220:
2218:
2216:
2212:
2206:
2203:
2201:
2198:
2196:
2193:
2191:
2188:
2186:
2183:
2182:
2180:
2178:
2174:
2168:
2165:
2163:
2160:
2158:
2155:
2153:
2150:
2149:
2147:
2145:
2141:
2137:
2130:
2127:
2125:
2122:
2121:
2117:
2113:
2097:
2094:
2093:
2092:
2089:
2087:
2084:
2082:
2079:
2075:
2072:
2070:
2067:
2066:
2065:
2062:
2061:
2059:
2057:
2053:
2043:
2040:
2036:
2030:
2028:
2022:
2020:
2014:
2013:
2012:
2009:
2008:Nonparametric
2006:
2004:
1998:
1994:
1991:
1990:
1989:
1983:
1979:
1978:Sample median
1976:
1975:
1974:
1971:
1970:
1968:
1966:
1962:
1954:
1951:
1949:
1946:
1944:
1941:
1940:
1939:
1936:
1934:
1931:
1929:
1923:
1921:
1918:
1916:
1913:
1911:
1908:
1906:
1903:
1901:
1899:
1895:
1893:
1890:
1889:
1887:
1885:
1881:
1875:
1873:
1869:
1867:
1865:
1860:
1858:
1853:
1849:
1848:
1845:
1842:
1840:
1836:
1826:
1823:
1821:
1818:
1816:
1813:
1812:
1810:
1808:
1804:
1798:
1795:
1791:
1788:
1787:
1786:
1783:
1779:
1776:
1775:
1774:
1771:
1769:
1766:
1765:
1763:
1761:
1757:
1749:
1746:
1744:
1741:
1740:
1739:
1736:
1734:
1731:
1729:
1726:
1724:
1721:
1719:
1716:
1714:
1711:
1710:
1708:
1706:
1702:
1696:
1693:
1689:
1686:
1682:
1679:
1677:
1674:
1673:
1672:
1669:
1668:
1667:
1664:
1660:
1657:
1655:
1652:
1650:
1647:
1645:
1642:
1641:
1640:
1637:
1636:
1634:
1632:
1628:
1625:
1623:
1619:
1613:
1610:
1608:
1605:
1601:
1598:
1597:
1596:
1593:
1591:
1588:
1584:
1583:loss function
1581:
1580:
1579:
1576:
1572:
1569:
1567:
1564:
1562:
1559:
1558:
1557:
1554:
1552:
1549:
1547:
1544:
1540:
1537:
1535:
1532:
1530:
1524:
1521:
1520:
1519:
1516:
1512:
1509:
1507:
1504:
1502:
1499:
1498:
1497:
1494:
1490:
1487:
1485:
1482:
1481:
1480:
1477:
1473:
1470:
1469:
1468:
1465:
1461:
1458:
1457:
1456:
1453:
1451:
1448:
1446:
1443:
1441:
1438:
1437:
1435:
1433:
1429:
1425:
1421:
1416:
1412:
1398:
1395:
1393:
1390:
1388:
1385:
1383:
1380:
1379:
1377:
1375:
1371:
1365:
1362:
1360:
1357:
1355:
1352:
1351:
1349:
1345:
1339:
1336:
1334:
1331:
1329:
1326:
1324:
1321:
1319:
1316:
1314:
1311:
1309:
1306:
1305:
1303:
1301:
1297:
1291:
1288:
1286:
1285:Questionnaire
1283:
1281:
1278:
1274:
1271:
1269:
1266:
1265:
1264:
1261:
1260:
1258:
1256:
1252:
1246:
1243:
1241:
1238:
1236:
1233:
1231:
1228:
1226:
1223:
1221:
1218:
1216:
1213:
1211:
1208:
1207:
1205:
1203:
1199:
1195:
1191:
1186:
1182:
1168:
1165:
1163:
1160:
1158:
1155:
1153:
1150:
1148:
1145:
1143:
1140:
1138:
1135:
1133:
1130:
1128:
1125:
1123:
1120:
1118:
1115:
1113:
1112:Control chart
1110:
1108:
1105:
1103:
1100:
1098:
1095:
1094:
1092:
1090:
1086:
1080:
1077:
1073:
1070:
1068:
1065:
1064:
1063:
1060:
1058:
1055:
1053:
1050:
1049:
1047:
1045:
1041:
1035:
1032:
1030:
1027:
1025:
1022:
1021:
1019:
1015:
1009:
1006:
1005:
1003:
1001:
997:
985:
982:
980:
977:
975:
972:
971:
970:
967:
965:
962:
961:
959:
957:
953:
947:
944:
942:
939:
937:
934:
932:
929:
927:
924:
922:
919:
917:
914:
913:
911:
909:
905:
899:
896:
894:
891:
887:
884:
882:
879:
877:
874:
872:
869:
867:
864:
862:
859:
857:
854:
852:
849:
847:
844:
842:
839:
838:
837:
834:
833:
831:
829:
825:
822:
820:
816:
812:
808:
803:
799:
793:
790:
788:
785:
784:
781:
777:
770:
765:
763:
758:
756:
751:
750:
747:
740:
736:
731:
727:
726:
721:
716:
715:
702:
698:
694:
690:
686:
682:
675:
667:
663:
659:
652:
644:
638:
630:
626:
622:
616:
612:
611:
603:
601:
591:
586:
582:
578:
574:
570:
566:
562:
558:
551:
549:
542:
538:
534:
528:
526:
517:
511:
507:
506:
498:
491:
487:
483:
479:
475:
471:
467:
461:
454:
452:0-299-04880-2
448:
444:
440:
434:
430:
419:
415:
413:
410:
408:
405:
402:
399:
397:
396:MS PowerPoint
393:
390:
388:
385:
384:
374:
370:
367:
363:
359:
358:
348:
344:
340:
336:
335:
329:
327:
322:
314:
308:
307:
306:
305:
301:
300:
292:
288:
285:
281:
280:
279:
278:
277:
276:
272:
268:
264:
263:
262:
260:
252:
244:
238:
232:
228:
219:
216:
213:
209:
205:
200:
198:
193:
185:
181:
171:
164:
152:
134:
122:
108:
106:
105:Nicole Oresme
102:
98:
94:
90:
80:
78:
75:
70:
68:
64:
60:
56:
52:
48:
39:
33:
27:Type of chart
19:
3057:
3045:
3026:
3019:
2931:Econometrics
2881: /
2864:Chemometrics
2841:Epidemiology
2834: /
2807:Applications
2649:ARIMA model
2596:Q-statistic
2545:Stationarity
2441:Multivariate
2384: /
2380: /
2378:Multivariate
2376: /
2316: /
2312: /
2086:Bayes factor
1985:Signed rank
1897:
1871:
1863:
1851:
1546:Completeness
1382:Cohort study
1280:Opinion poll
1215:Missing data
1202:Study design
1157:Scatter plot
1096:
1079:Scatter plot
1072:Spearman's Ï
1034:Grouped data
723:
684:
674:
651:
609:
564:
560:
532:
504:
497:
473:
469:
460:
442:
433:
412:Progress bar
376:appropriate.
346:information.
323:
320:
315:for each bar
309:
290:
283:
266:
258:
256:
248:
245:axis), and
242:
236:
230:
217:
207:
203:
201:
196:
194:
191:
182:
178:
100:
96:
92:
86:
71:
67:column chart
66:
50:
46:
44:
3059:WikiProject
2974:Cartography
2936:Jurimetrics
2888:Reliability
2619:Time domain
2598:(LjungâBox)
2520:Time-series
2398:Categorical
2382:Time-series
2374:Categorical
2309:(Bernoulli)
2144:Correlation
2124:Correlation
1920:JarqueâBera
1892:Chi-squared
1654:M-estimator
1607:Asymptotics
1551:Sufficiency
1318:Interaction
1230:Replication
1210:Effect size
1167:Violin plot
1147:Radar chart
1127:Forest plot
1117:Correlogram
1067:Kendall's Ï
718:âč The
355:Limitations
212:time series
2926:Demography
2644:ARMA model
2449:Regression
2026:(Friedman)
1987:(Wilcoxon)
1925:Normality
1915:Lilliefors
1862:Student's
1738:Resampling
1612:Robustness
1600:divergence
1590:Efficiency
1528:(monotone)
1523:Likelihood
1440:Population
1273:Stratified
1225:Population
1044:Dependence
1000:Count data
931:Percentile
908:Dispersion
841:Arithmetic
776:Statistics
629:1032356534
567:(1): 135.
541:1592578659
425:References
350:decisions.
338:audiences.
332:Advantages
77:categories
2307:Logistic
2074:posterior
2000:Rank sum
1748:Jackknife
1743:Bootstrap
1561:Bootstrap
1496:Parameter
1445:Statistic
1240:Statistic
1152:Run chart
1137:Pie chart
1132:Histogram
1122:Fan chart
1097:Bar chart
979:L-moments
866:Geometric
701:0032-5473
637:cite book
581:1558-9439
401:Histogram
366:histogram
172:bar chart
51:bar graph
47:bar chart
18:Bar graph
3075:Category
3021:Category
2714:Survival
2591:Johansen
2314:Binomial
2269:Isotonic
1856:(normal)
1501:location
1308:Blocking
1263:Sampling
1142:QâQ plot
1107:Box plot
1089:Graphics
984:Skewness
974:Kurtosis
946:Variance
876:Heronian
871:Harmonic
735:Graphing
720:template
441:(1968),
381:See also
313:= Area A
259:variwide
239:axis),
231:Example:
184:charts.
74:discrete
3047:Commons
2994:Kriging
2879:Process
2836:studies
2695:Wavelet
2528:General
1695:Plug-in
1489:L space
1268:Cluster
969:Moments
787:Outline
722:below (
590:5764581
490:2683467
311:(A/X)*X
83:History
63:lengths
59:heights
2916:Census
2506:Normal
2454:Manova
2274:Robust
2024:2-way
2016:1-way
1854:-test
1525:
1102:Biplot
893:Median
886:Lehmer
828:Center
739:Curlie
725:Curlie
699:
627:
617:
587:
579:
539:
512:
488:
449:
361:plots.
32:LM3914
2540:Trend
2069:prior
2011:anova
1900:-test
1874:-test
1866:-test
1773:Power
1718:Pivot
1511:shape
1506:scale
956:Shape
936:Range
881:Heinz
856:Cubic
792:Index
486:JSTOR
342:them.
286:) and
111:Usage
2773:Test
1973:Sign
1825:Wald
898:Mode
836:Mean
697:ISSN
643:link
625:OCLC
615:ISBN
577:ISSN
537:ISBN
510:ISBN
447:ISBN
372:are.
1953:BIC
1948:AIC
737:at
689:doi
662:doi
585:PMC
569:doi
565:106
478:doi
284:A/X
250:x*y
195:In
61:or
49:or
3077::
695:.
687:.
683:.
639:}}
635:{{
623:.
599:^
583:.
575:.
563:.
559:.
547:^
524:^
484:,
474:32
472:,
328:.
293:).
170:3D
69:.
45:A
1898:G
1872:F
1864:t
1852:Z
1571:V
1566:U
768:e
761:t
754:v
703:.
691::
668:.
664::
645:)
631:.
593:.
571::
518:.
480::
420:.
291:X
267:A
243:y
237:x
34:.
20:)
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