{"id":1288,"date":"2021-04-01T03:52:59","date_gmt":"2021-03-31T19:52:59","guid":{"rendered":"http:\/\/pokuyo.com\/?p=1288"},"modified":"2022-06-02T04:35:12","modified_gmt":"2022-06-01T20:35:12","slug":"%e7%b5%b1%e8%a8%88%e5%ad%b8%e8%a9%9e%e5%bd%99-%e4%b8%ad%e8%8b%b1%e6%96%87%e5%b0%8d%e7%85%a7%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/pokuyo.com\/?p=1288","title":{"rendered":"[\u7d71\u8a08\u5b78] \u7528\u8a9e \u4e2d\u82f1\u6587\u5c0d\u7167"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u7d71\u8a08\u5b78<\/td>\nStatistics<\/td>\n<\/tr>\n
\u5143\u7d20<\/td>\nElements<\/td>\n<\/tr>\n
\u89c0\u5bdf\u503c<\/td>\nObservation<\/td>\n<\/tr>\n
\u8b8a\u6578<\/td>\nVariable<\/td>\n<\/tr>\n
\u6bcd\u9ad4<\/td>\nPopulation<\/td>\n<\/tr>\n
\u6a23\u672c<\/td>\nSample<\/td>\n<\/tr>\n
\u8cea\u91cf\u8cc7\u6599<\/td>\nQualitative data<\/td>\n<\/tr>\n
\u6578\u91cf\u8cc7\u6599<\/td>\nQuantitative data<\/td>\n<\/tr>\n
\u8cc7\u6599\u5206\u6790<\/td>\nData analysis<\/td>\n<\/tr>\n
\u7d71\u8a08\u8868<\/td>\nStatistical table<\/td>\n<\/tr>\n
\u7d71\u8a08\u5716<\/td>\nStatistical chart<\/td>\n<\/tr>\n
\u5713\u9905\u5716<\/td>\nPie chart<\/td>\n<\/tr>\n
\u8396\u8449\u5716<\/td>\nStem-and-leaf display<\/td>\n<\/tr>\n
\u76d2\u9b1a\u5716<\/td>\nBox plot<\/td>\n<\/tr>\n
\u76f4\u65b9\u5716<\/td>\nHistogram<\/td>\n<\/tr>\n
\u9577\u689d\u5716<\/td>\nBar Chart<\/td>\n<\/tr>\n
\u6b21\u6578\u591a\u908a\u5716<\/td>\nPolygon<\/td>\n<\/tr>\n
\u80a9\u5f62\u5716<\/td>\nOgive<\/td>\n<\/tr>\n
\u7d2f\u7a4d\u983b\u7387\u5206\u5e03<\/td>\nCumulative frequency distribution<\/td>\n<\/tr>\n
\u7d2f\u7a4d\u76f8\u5c0d\u983b\u7387\u5206\u5e03<\/td>\nCumulative relative frequency distribution<\/td>\n<\/tr>\n
\u7d2f\u7a4d\u767e\u5206\u983b\u7387\u5206\u5e03<\/td>\nCumulative percent frequency distribution<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u6558\u8ff0\u7d71\u8a08\u5b78<\/td>\nDescriptive statistics<\/td>\n<\/tr>\n
\u5e73\u5747\u6578<\/td>\nMean<\/td>\n<\/tr>\n
\u4e2d\u4f4d\u6578<\/td>\nMedian<\/td>\n<\/tr>\n
\u52a0\u6b0a\u5e73\u5747<\/td>\nWeighted mean<\/td>\n<\/tr>\n
\u773e\u6578<\/td>\nMode<\/td>\n<\/tr>\n
\u8b8a\u7570\u6578<\/td>\nVariance<\/td>\n<\/tr>\n
\u6a19\u6e96\u5dee<\/td>\nStandard deviation<\/td>\n<\/tr>\n
\u5171\u8b8a\u7570\u6578\u77e9\u9663<\/td>\nCovariance matrix<\/td>\n<\/tr>\n
\u56db\u5206\u4f4d<\/td>\nQuartiles<\/td>\n<\/tr>\n
\u56db\u5206\u4f4d\u8ddd<\/td>\nInterquartile range (IQR)<\/td>\n<\/tr>\n
\u767e\u5206\u4f4d<\/td>\nPercentile<\/td>\n<\/tr>\n
\u767e\u5206\u983b\u7387\u5206\u5e03<\/td>\nPercent frequency distribution<\/td>\n<\/tr>\n
\u67f4\u6bd4\u96ea\u592b\u5b9a\u7406<\/td>\nChebyshev’s theorem<\/td>\n<\/tr>\n
\u8b8a\u7570\u4fc2\u6578<\/td>\nCoefficient of variation<\/td>\n<\/tr>\n
\u76f8\u95dc\u4fc2\u6578<\/td>\nCorrelation coefficient<\/td>\n<\/tr>\n
\u4ea4\u53c9\u5217\u8868<\/td>\nCrosstabulation<\/td>\n<\/tr>\n
\u5171\u8b8a\u7570\u6578<\/td>\nCovariance<\/td>\n<\/tr>\n
\u7d93\u9a57\u6cd5\u5247<\/td>\nEmpirical rule<\/td>\n<\/tr>\n
\u63a2\u7d22\u6027\u8cc7\u6599\u5206\u6790<\/td>\nExploratory data analysis<\/td>\n<\/tr>\n
\u983b\u7387\u5206\u5e03<\/td>\nFrequency distribution<\/td>\n<\/tr>\n
\u7fa4\u7d44\u8cc7\u6599<\/td>\nGrouped data<\/td>\n<\/tr>\n
\u96e2\u7fa4\u503c<\/td>\nOutlier<\/td>\n<\/tr>\n
\u5168\u8ddd<\/td>\nRange<\/td>\n<\/tr>\n
\u76f8\u5c0d\u983b\u7387\u5206\u5e03<\/td>\nRelative frequency distribution<\/td>\n<\/tr>\n
\u8c9d\u6c0f\u5b9a\u7406<\/td>\nBayes’ theorem<\/td>\n<\/tr>\n
\u4e8c\u9805\u5f0f\u5be6\u9a57<\/td>\nBinomial experiment<\/td>\n<\/tr>\n
\u6a5f\u7387<\/td>\nProbability<\/td>\n<\/tr>\n
\u53e4\u5178\u6a5f\u7387\u6cd5<\/td>\nClassical method<\/td>\n<\/tr>\n
\u6a23\u672c\u7a7a\u9593<\/td>\nSample space<\/td>\n<\/tr>\n
\u6a23\u672c\u9ede<\/td>\nSample point<\/td>\n<\/tr>\n
\u4e8b\u4ef6<\/td>\nEvent<\/td>\n<\/tr>\n
\u671f\u671b\u503c<\/td>\nExpectation<\/td>\n<\/tr>\n
\u5be6\u9a57<\/td>\nExperiment<\/td>\n<\/tr>\n
A\u7684\u88dc\u96c6<\/td>\nComplement of event A<\/td>\n<\/tr>\n
A\u8207B\u7684\u4ea4\u96c6<\/td>\nInteraction of A and B<\/td>\n<\/tr>\n
A\u8207B\u7684\u806f\u96c6<\/td>\nUnion of events A and B<\/td>\n<\/tr>\n
\u4e8b\u5f8c\u6a5f\u7387<\/td>\nPosterior probabilities<\/td>\n<\/tr>\n
\u4e8b\u524d\u6a5f\u7387<\/td>\nPrior probabilities<\/td>\n<\/tr>\n
\u7368\u7acb\u4e8b\u4ef6<\/td>\nIndependent events<\/td>\n<\/tr>\n
\u4e0d\u76f8\u4ea4\u4e8b\u4ef6<\/td>\nMutually exclusive events<\/td>\n<\/tr>\n
\u689d\u4ef6\u6a5f\u7387<\/td>\nConditional probability<\/td>\n<\/tr>\n
\u76f8\u5c0d\u983b\u7387\u6cd5<\/td>\nRelative frequency method<\/td>\n<\/tr>\n
\u6a39\u5f62\u5716<\/td>\nTree diagram<\/td>\n<\/tr>\n
\u8b8a\u7570\u6578\uff08\u96a8\u6a5f\u8b8a\u6578\uff09<\/td>\nVariance (random variable)<\/td>\n<\/tr>\n
\u6a19\u6e96\u5dee\uff08\u96a8\u6a5f\u8b8a\u6578\uff09<\/td>\nStandard deviation (random variable)<\/td>\n<\/tr>\n
Venn\u5716\u8868<\/td>\nVenn diagram<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u63a8\u8ad6\u7d71\u8a08\u5b78<\/td>\nInferential statistics<\/td>\n<\/tr>\n
\u9ede\u4f30\u8a08<\/td>\nPoint estimation<\/td>\n<\/tr>\n
\u5340\u9593\u4f30\u8a08<\/td>\nInterval estimation<\/td>\n<\/tr>\n
\u4fe1\u8cf4\u5340\u9593<\/td>\nConfidence interval<\/td>\n<\/tr>\n
\u4fe1\u8cf4\u4fc2\u6578<\/td>\nConfidence coefficient<\/td>\n<\/tr>\n
\u4fe1\u8cf4\u6c34\u6e96<\/td>\nConfidence level<\/td>\n<\/tr>\n
\u5340\u9593\u4f30\u8a08<\/td>\nInterval estimate<\/td>\n<\/tr>\n
\u986f\u8457\u6c34\u6e96<\/td>\nLevel of significance (confidence interval)<\/td>\n<\/tr>\n
\u908a\u969b\u8aa4\u5dee<\/td>\nMargin of error<\/td>\n<\/tr>\n
t\u5206\u5e03<\/td>\nt distribution<\/td>\n<\/tr>\n
\u7d71\u8a08\u5047\u8a2d\u6aa2\u5b9a<\/td>\nTesting statistical hypothesis<\/td>\n<\/tr>\n
\u5c0d\u7acb\u5047\u8a2d<\/td>\nAlternative hypothesis<\/td>\n<\/tr>\n
\u95dc\u9375\u503c<\/td>\nCritical value<\/td>\n<\/tr>\n
\u865b\u7121\u5047\u8a2d<\/td>\nNull hypothesis<\/td>\n<\/tr>\n
\u55ae\u908a\u6aa2\u5b9a<\/td>\nOne-tailed test<\/td>\n<\/tr>\n
\u96d9\u908a\u6aa2\u5b9a<\/td>\nTwo-tailed test<\/td>\n<\/tr>\n
P \u503c<\/td>\np-value<\/td>\n<\/tr>\n
\u578b\u2160\u8aa4\u5dee<\/td>\nType I error<\/td>\n<\/tr>\n
\u578b\u2161\u8aa4\u5dee<\/td>\nType II error<\/td>\n<\/tr>\n
\u5217\u806f\u8868<\/td>\nContingency table<\/td>\n<\/tr>\n
\u7368\u7acb\u6a23\u672c<\/td>\nIndependent samples<\/td>\n<\/tr>\n
\u6210\u5c0d\u6a23\u672c<\/td>\nMatched samples<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u62bd\u6a23\u8abf\u67e5<\/td>\nSampling survey<\/td>\n<\/tr>\n
\u4e2d\u592e\u6975\u9650\u5b9a\u7406<\/td>\nCentral limit theorem<\/td>\n<\/tr>\n
\u6709\u9650\u6bcd\u9ad4<\/td>\nFinite population<\/td>\n<\/tr>\n
\u7121\u7aae\u6bcd\u9ad4<\/td>\nInfinite population<\/td>\n<\/tr>\n
\u666e\u67e5<\/td>\nCensus<\/td>\n<\/tr>\n
\u62bd\u6a23<\/td>\nSampling<\/td>\n<\/tr>\n
\u62bd\u6a23\u5206\u5e03<\/td>\nSampling distribution<\/td>\n<\/tr>\n
\u4fe1\u5ea6<\/td>\nReliability<\/td>\n<\/tr>\n
\u6548\u5ea6<\/td>\nValidity<\/td>\n<\/tr>\n
\u4e0d\u53ef\u7f6e\u63db\u62bd\u6a23<\/td>\nSampling without replacement<\/td>\n<\/tr>\n
\u53ef\u7f6e\u63db\u62bd\u6a23<\/td>\nSampling with replacement<\/td>\n<\/tr>\n
\u62bd\u6a23\u8aa4\u5dee<\/td>\nSampling error<\/td>\n<\/tr>\n
\u975e\u62bd\u6a23\u8aa4\u5dee<\/td>\nNon-sampling error<\/td>\n<\/tr>\n
\u96a8\u6a5f\u62bd\u6a23<\/td>\nRandom sampling<\/td>\n<\/tr>\n
\u7c21\u55ae\u96a8\u6a5f\u62bd\u6a23\u6cd5<\/td>\nSimple random sampling<\/td>\n<\/tr>\n
\u5206\u5c64\u62bd\u6a23\u6cd5<\/td>\nStratified sampling<\/td>\n<\/tr>\n
\u7fa4\u96c6\u62bd\u6a23\u6cd5<\/td>\nCluster sampling<\/td>\n<\/tr>\n
\u7cfb\u7d71\u62bd\u6a23\u6cd5<\/td>\nSystematic sampling<\/td>\n<\/tr>\n
\u5169\u6bb5\u96a8\u6a5f\u62bd\u6a23\u6cd5<\/td>\nTwo-stage random sampling<\/td>\n<\/tr>\n
\u4fbf\u5229\u62bd\u6a23<\/td>\nConvenience sampling<\/td>\n<\/tr>\n
\u914d\u984d\u62bd\u6a23<\/td>\nQuota sampling<\/td>\n<\/tr>\n
\u96ea\u7403\u62bd\u6a23<\/td>\nSnowball sampling<\/td>\n<\/tr>\n
\u6a19\u6e96\u8aa4<\/td>\nStandard error<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u7121\u6bcd\u6578\u7d71\u8a08<\/td>\nNonparametric statistics<\/td>\n<\/tr>\n
\u7b49\u7d1a\u6aa2\u5b9a<\/td>\nThe sign test<\/td>\n<\/tr>\n
Spearman\u7b49\u7d1a\u76f8\u95dc\u6aa2\u5b9a<\/td>\nSpearmann\u2019s rank correlation test<\/td>\n<\/tr>\n
\u9b4f\u514b\u68ee\u8a0a\u865f\u7b49\u7d1a\u6aa2\u5b9a<\/td>\nWilcoxon signed rank tests<\/td>\n<\/tr>\n
\u9b4f\u514b\u68ee\u7b49\u7d1a\u548c\u6aa2\u5b9a<\/td>\nWilcoxon rank sum tests<\/td>\n<\/tr>\n
Mann-Witeney \u6aa2\u5b9a<\/td>\nMann-Witeney tests<\/td>\n<\/tr>\n
Kruskal-Wallis \u6aa2\u5b9a<\/td>\nKruskal-Wallis tests<\/td>\n<\/tr>\n
\u9023\u6aa2\u5b9a\u6cd5<\/td>\nRun test<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u6a5f\u7387\u5bc6\u5ea6\u51fd\u6578<\/td>\nProbability density function<\/td>\n<\/tr>\n
\u6a5f\u7387\u5206\u5e03<\/td>\nProbability distribution<\/td>\n<\/tr>\n
\u6a5f\u7387\u51fd\u6578<\/td>\nProbability function<\/td>\n<\/tr>\n
\u96a8\u6a5f\u8b8a\u6578<\/td>\nRandom variable<\/td>\n<\/tr>\n
\u96e2\u6563\u96a8\u6a5f\u8b8a\u6578<\/td>\nDiscrete random variable<\/td>\n<\/tr>\n
\u96e2\u6563\u7684\u5747\u52fb\u5bc6\u5ea6<\/td>\nDiscrete uniform densities<\/td>\n<\/tr>\n
\u4e8c\u9805\u5bc6\u5ea6<\/td>\nBinomial densities<\/td>\n<\/tr>\n
\u4e8c\u9805\u5f0f\u6a5f\u7387\u5206\u5e03<\/td>\nBinomial probability distribution<\/td>\n<\/tr>\n
\u8d85\u5e7e\u4f55\u5bc6\u5ea6<\/td>\nHypergeometric densities<\/td>\n<\/tr>\n
\u8d85\u5e7e\u4f55\u5206\u5e03<\/td>\nHypergeometric probability distribution<\/td>\n<\/tr>\n
\u535c\u677e\u5bc6\u5ea6<\/td>\nPoisson densities<\/td>\n<\/tr>\n
\u535c\u677e\u6a5f\u7387\u5206\u5e03<\/td>\nPoisson probability distribution<\/td>\n<\/tr>\n
\u5e7e\u4f55\u5bc6\u5ea6<\/td>\nGeometric densities<\/td>\n<\/tr>\n
\u8ca0\u4e8c\u9805\u5bc6\u5ea6<\/td>\nNegative binomial densities<\/td>\n<\/tr>\n
\u9023\u7e8c\u96a8\u6a5f\u8b8a\u6578<\/td>\nContinuous random variable<\/td>\n<\/tr>\n
\u9023\u7e8c\u5747\u52fb\u5bc6\u5ea6<\/td>\nContinuous uniform densities<\/td>\n<\/tr>\n
\u5747\u52fb\u6a5f\u7387\u5206\u5e03<\/td>\nUniform probability distribution (discrete)<\/td>\n<\/tr>\n
\u5e38\u614b\u5bc6\u5ea6<\/td>\nNormal densities<\/td>\n<\/tr>\n
\u6b63\u614b\u6a5f\u7387\u5206\u5e03<\/td>\nNormal probability distribution<\/td>\n<\/tr>\n
\u6a19\u6e96\u6b63\u614b\u6a5f\u7387\u5206\u5e03<\/td>\nStandard normal probability distribution<\/td>\n<\/tr>\n
\u6307\u6578\u5bc6\u5ea6<\/td>\nExponential densities<\/td>\n<\/tr>\n
\u6307\u6578\u6a5f\u7387\u5206\u5e03<\/td>\nExponential probability distribution<\/td>\n<\/tr>\n
\u4f3d\u746a\u5bc6\u5ea6<\/td>\nGamma densities<\/td>\n<\/tr>\n
\u8c9d\u4ed6\u5bc6\u5ea6<\/td>\nBeta densities<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u6c7a\u5b9a\u4fc2\u6578<\/td>\nCoefficient of determination<\/td>\n<\/tr>\n
\u56e0\u8b8a\u6578<\/td>\nDependent variable<\/td>\n<\/tr>\n
\u81ea\u8b8a\u6578<\/td>\nIndependent variable<\/td>\n<\/tr>\n
\u6700\u5c0f\u5e73\u65b9\u6cd5<\/td>\nLeast squares method<\/td>\n<\/tr>\n
\u5747\u65b9\u8aa4\u5dee<\/td>\nMean square error<\/td>\n<\/tr>\n
\u9810\u6e2c\u4fe1\u8cf4\u4f30\u8a08<\/td>\nPrediction interval estimate<\/td>\n<\/tr>\n
\u8ff4\u6b78\u5206\u6790<\/td>\nRegression analysis<\/td>\n<\/tr>\n
\u6b98\u5dee<\/td>\nResidual<\/td>\n<\/tr>\n
\u7c21\u55ae\u7dda\u6027\u8ff4\u6b78<\/td>\nSimple linear regression<\/td>\n<\/tr>\n
\u591a\u91cd\u8ff4\u6b78<\/td>\nMultiple regression<\/td>\n<\/tr>\n
\u8b8a\u7570\u6578\u5206\u6790<\/td>\nAnalysis of variance<\/td>\n<\/tr>\n
\u8b8a\u7570\u6578\u5206\u6790\u8868<\/td>\nANOVA table<\/td>\n<\/tr>\n
\u591a\u8b8a\u91cf\u5206\u6790<\/td>\nMultivariate analysis<\/td>\n<\/tr>\n
\u4e3b\u56e0\u5b50\u5206\u6790<\/td>\nPrincipal components<\/td>\n<\/tr>\n
\u5340\u5225\u5206\u6790<\/td>\nDiscrimination analysis<\/td>\n<\/tr>\n
\u7fa4\u96c6\u5206\u6790<\/td>\nCluster analysis<\/td>\n<\/tr>\n
\u56e0\u7d20\u5206\u6790<\/td>\nFactor analysis<\/td>\n<\/tr>\n
\u6c7a\u7b56\u7406\u8ad6<\/td>\nDecision theory<\/td>\n<\/tr>\n
\u7f85\u5409\u65af\u8ff4\u6b78<\/td>\nLogistic regression<\/td>\n<\/tr>\n
<\/a><\/td>\n<\/td>\n<\/tr>\n
\u5b58\u6d3b\u5206\u6790<\/td>\nSurvival analysis<\/td>\n<\/tr>\n
\u6642\u9593\u5e8f\u5217\u8cc7\u6599<\/td>\nTime series data<\/td>\n<\/tr>\n
\u6642\u9593\u5e8f\u5217\u5206\u6790<\/td>\nTime series analysis<\/td>\n<\/tr>\n
\u7dda\u6027\u6a21\u5f0f<\/td>\nLinear models<\/td>\n<\/tr>\n
\u54c1\u8cea\u5de5\u7a0b<\/td>\nQuality engineering<\/td>\n<\/tr>\n
\u6a5f\u7387\u8ad6<\/td>\nProbability theory<\/td>\n<\/tr>\n
\u7d71\u8a08\u8a08\u7b97<\/td>\nStatistical computing<\/td>\n<\/tr>\n
\u7d71\u8a08\u63a8\u8ad6<\/td>\nStatistical inference<\/td>\n<\/tr>\n
\u96a8\u6a5f\u904e\u7a0b<\/td>\nStochastic processes<\/td>\n<\/tr>\n
\u6c7a\u7b56\u7406\u8ad6<\/td>\nDecision theory<\/td>\n<\/tr>\n
\u96e2\u6563\u5206\u6790<\/td>\nDiscrete analysis<\/td>\n<\/tr>\n
\u6578\u7406\u7d71\u8a08<\/td>\nMathematical statistics<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u66f4\u591a\u82f1\u6587\u55ae\u5b57\u8cc7\u8a0a\uff1a<\/strong><\/em><\/h4>\n

[\u6703\u8a08] \u7528\u8a9e \u4e2d\u82f1\u6587\u5c0d\u7167<\/a><\/h4>\n

[\u8cc7\u8a0a\u5de5\u7a0b] \u7528\u8a9e \u4e2d\u82f1\u6587\u5c0d\u7167<\/a><\/h4>\n","protected":false},"excerpt":{"rendered":"

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