{"id":404,"date":"2020-05-18T22:33:38","date_gmt":"2020-05-18T13:33:38","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/welch-t-test-in-r-and-spss\/"},"modified":"2024-10-05T10:05:41","modified_gmt":"2024-10-05T01:05:41","slug":"welch-t-test-in-r-and-spss","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/welch-t-test-in-r-and-spss\/","title":{"rendered":"R \u3068 SPSS \u3067\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n

\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u306f\u30012 \u7fa4\u304c\u7b49\u5206\u6563\u3067\u3082\u7b49\u5206\u6563\u3067\u306a\u304f\u3066\u3082\u4f7f\u3048\u308b t \u691c\u5b9a<\/p>\n\n\n\n

R \u3068 SPSS \u3067\u306e\u5b9f\u884c\u65b9\u6cd5<\/p>\n\n\n\n\n\n\n\n

\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3068\u306f\uff1f<\/h2>\n\n\n\n

\u30a6\u30a7\u30eb\u30c1 (Welch) \u306e t \u691c\u5b9a\u306f\u3001\u4e8c\u3064\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u6bcd\u5206\u6563\u304c\u7b49\u5206\u6563\u3068\u306f\u4eee\u5b9a\u3067\u304d\u306a\u3044\u3068\u304d\u306b\u3082\u9069\u5207\u306b\u6bd4\u8f03\u3067\u304d\u308b\u5e73\u5747\u5024\u306e\u5dee\u306e\u691c\u5b9a\u3060\u3002<\/p>\n\n\n\n

\u7b49\u5206\u6563\u306e\u6642\u3067\u3082\u4f7f\u3048\u308b\u3057\u3001\u7b49\u5206\u6563\u3067\u306f\u306a\u304f\u3066\u3082\u4f7f\u3048\u308b\u3002<\/p>\n\n\n\n

\u7b49\u5206\u6563\u306e\u6642\u306f\u3001\u307b\u307c\u540c\u3058\u7d50\u679c\u306b\u306a\u308b\u3002<\/p>\n\n\n\n

\u3060\u304b\u3089\u3001\u3044\u3064\u3067\u3082\u30a6\u30a7\u30eb\u30c1\u691c\u5b9a\u3092\u4f7f\u3048\u3070\u3044\u3044\u3002<\/p>\n\n\n\n

\u7b49\u5206\u6563\u6027\u306e\u691c\u5b9a\u3092\u4e8b\u524d\u306b\u5b9f\u65bd\u3059\u308b\u5fc5\u8981\u306f\u306a\u3044\u3002<\/p>\n\n\n\n

\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092 R \u3067\u5b9f\u884c\u3059\u308b<\/h2>\n\n\n\n

R \u3067\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092\u884c\u3046\u65b9\u6cd5\u306b\u306f\u3001t.test()\u3092\u4f7f\u3046\u3002<\/p>\n\n\n\n

t \u691c\u5b9a\u306e\u6a19\u6e96\u4ed5\u69d8\u304c\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u306b\u306a\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n\n

\u30b0\u30eb\u30fc\u30d71\u304c4\u304b\u308914\u306e11\u500b\u306e\u30c7\u30fc\u30bf\u3001\u30b0\u30eb\u30fc\u30d72\u304c1\u304b\u308911\u306e\u305d\u308c\u305e\u308c3\u500d\u306711\u500b\u306e\u30c7\u30fc\u30bf\u3060\u3068\u3057\u3088\u3046\u3002<\/p>\n\n\n\n

X1 <-<\/span>seq<\/span>(<\/span>1<\/span>:<\/span>11<\/span>)<\/span>+<\/span>3<\/span>\nX2 <-<\/span> seq<\/span>(<\/span>1<\/span>:<\/span>11<\/span>)<\/span>*<\/span>3<\/span>\n<\/code><\/pre>\n\n\n\n
\u30c7\u30fc\u30bf\u306f\u3001\u3053\u3093\u306a\u3075\u3046\u306b\u6e96\u5099\u3059\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u305d\u306e\u6642\u306e\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5b9f\u65bd\u3059\u308b\u3002<\/p>\n\n\n\n
t.test<\/span>(<\/span>X1,<\/span>X2)<\/span>\n<\/code><\/pre>\n\n\n\n
\u7d50\u679c\u306f\u3001\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3001p\u5024\u304c0.01453\u3067\u7d71\u8a08\u5b66\u7684\u6709\u610f\u306b\u7570\u306a\u308b\u3002<\/p>\n\n\n\n
><\/span> t.test<\/span>(<\/span>X1,<\/span>X2)<\/span>\nWelch Two Sample t-<\/span>test\ndata:<\/span>  X1 and X2\nt =<\/span> -<\/span>2.846<\/span>,<\/span> df =<\/span> 12.195<\/span>,<\/span> p-<\/span>value =<\/span> 0.01453<\/span>\nalternative hypothesis:<\/span> true difference in<\/span> means is not equal to 0<\/span>\n95<\/span> percent confidence interval:<\/span>\n-<\/span>15.877804<\/span>  -<\/span>2.122196<\/span>\nsample estimates:<\/span>\nmean of x mean of y\n9<\/span>        18<\/span>\n<\/code><\/pre>\n\n\n\n
\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n\"\"<\/a>\r\n
\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div>
\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092\u6539\u3081\u3066\u4f5c\u3063\u305f\u95a2\u6570\u3067\u5b9f\u65bd\u3059\u308b<\/h2>\n\n\n\n
R \u306efunction()\u3092\u4f7f\u3044\u3001\u95a2\u6570\u3092\u6539\u3081\u3066\u4f5c\u3063\u3066\u5b9f\u65bd\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
\u5909\u6570\u306f\u5e73\u5747\u5024\u3001\u6a19\u6e96\u504f\u5dee\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u4ee3\u5165\u3059\u308b\u5f62\u306b\u3059\u308b\u3002<\/p>\n\n\n\n
welch.t.test <-<\/span> function<\/span> (<\/span>N1,<\/span> X1bar,<\/span> s1,<\/span> N2,<\/span> X2bar,<\/span> s2,<\/span>\nalternative=<\/span>c<\/span>(<\/span>\"two.sided\"<\/span>,<\/span>\"one.sided\"<\/span>))<\/span>\n{<\/span>\ndata.name <-<\/span> sprintf<\/span>(<\/span>\"<\/span>\\n<\/span>N1=%s, X1bar=%s, SD1=%s<\/span>\\n<\/span>N2=%s, X2bar=%s, SD2=%s\"<\/span>,<\/span> N1,<\/span>X1bar,<\/span>s1,<\/span>N2,<\/span>X2bar,<\/span>s2)<\/span>\nalternative <-<\/span> match.arg<\/span>(<\/span>alternative)<\/span>\ntside <-<\/span> switch<\/span>(<\/span>alternative,<\/span> one.sided=<\/span>1<\/span>,<\/span> two.sided=<\/span>2<\/span>)<\/span>\nestimate <-<\/span> X1bar-<\/span>X2bar\ntstat <-<\/span> abs<\/span>(<\/span>estimate)<\/span>\/<\/span>sqrt<\/span>(<\/span>s1^<\/span>2<\/span>\/<\/span>N1+<\/span>s2^<\/span>2<\/span>\/<\/span>N2)<\/span>\nnames<\/span>(<\/span>tstat)<\/span> <-<\/span> \"t\"<\/span>\ndf<-<\/span>(<\/span>s1^<\/span>2<\/span>\/<\/span>N1+<\/span>s2^<\/span>2<\/span>\/<\/span>N2)<\/span>^<\/span>2<\/span>\/<\/span>(<\/span>s1^<\/span>4<\/span>\/<\/span>(<\/span>N1^<\/span>2<\/span>*<\/span>(<\/span>N1-<\/span>1<\/span>))<\/span>+<\/span>s2^<\/span>4<\/span>\/<\/span>(<\/span>N2^<\/span>2<\/span>*<\/span>(<\/span>N2-<\/span>1<\/span>)))<\/span>\nnames<\/span>(<\/span>df)<\/span> <-<\/span> \"df\"<\/span>\npval <-<\/span> pt<\/span>(<\/span>q=<\/span>tstat,<\/span> lower.tail=<\/span>F<\/span>,<\/span> df=<\/span>df)<\/span>*<\/span>tside\nMETHOD <-<\/span> \"Welch t-test\"<\/span>\nstructure<\/span>(<\/span>list<\/span>(<\/span>statistic=<\/span>tstat,<\/span> parameter=<\/span>df,<\/span>  p.value=<\/span>pval,<\/span>\nestimate=<\/span>estimate,<\/span>  alternative=<\/span>alternative,<\/span> data.name=<\/span>data.name,<\/span>\nmethod=<\/span>METHOD),<\/span> class=<\/span>\"htest\"<\/span>)<\/span>\n}<\/span>\n<\/code><\/pre>\n\n\n\n
\u30b0\u30eb\u30fc\u30d71\u3068\u30b0\u30eb\u30fc\u30d72\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3001\u5e73\u5747\u5024\u3001\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u3002<\/p>\n\n\n\n
X1 <-<\/span>seq<\/span>(<\/span>1<\/span>:<\/span>11<\/span>)<\/span>+<\/span>3<\/span>\n(<\/span>N1 <-<\/span> length<\/span>(<\/span>X1))<\/span>\n(<\/span>X1bar <-<\/span> mean<\/span>(<\/span>X1))<\/span>\n(<\/span>s1 <-<\/span> sd<\/span>(<\/span>X1))<\/span>\nX2 <-<\/span> seq<\/span>(<\/span>1<\/span>:<\/span>11<\/span>)<\/span>*<\/span>3<\/span>\n(<\/span>N2 <-<\/span> length<\/span>(<\/span>X2))<\/span>\n(<\/span>X2bar <-<\/span> mean<\/span>(<\/span>X2))<\/span>\n(<\/span>s2 <-<\/span> sd<\/span>(<\/span>X2))<\/span>\n<\/code><\/pre>\n\n\n\n
\u3055\u304d\u307b\u3069\u4f5c\u3063\u305f\u95a2\u6570\u306b\u4ee3\u5165\u3059\u308b\u3002<\/p>\n\n\n\n
welch.t.test<\/span>(<\/span>N1=<\/span>11<\/span>,<\/span> X1bar=<\/span>9<\/span>,<\/span> s1=<\/span>3.316625<\/span>,<\/span> N2=<\/span>11<\/span>,<\/span> X2bar=<\/span>18<\/span>,<\/span> s2=<\/span>9.949874<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u7d50\u679c\u306ft.test()\u3068\u540c\u3058\u7d50\u679c\u306b\u306a\u308b\u3002<\/p>\n\n\n\n
><\/span> welch.t.test<\/span>(<\/span>N1=<\/span>11<\/span>,<\/span> X1bar=<\/span>9<\/span>,<\/span> s1=<\/span>3.316625<\/span>,<\/span> N2=<\/span>11<\/span>,<\/span> X2bar=<\/span>18<\/span>,<\/span> s2=<\/span>9.949874<\/span>)<\/span>\nWelch t-<\/span>test\ndata:<\/span>\nN1=<\/span>11<\/span>,<\/span> X1bar=<\/span>9<\/span>,<\/span> SD1=<\/span>3.316625<\/span>\nN2=<\/span>11<\/span>,<\/span> X2bar=<\/span>18<\/span>,<\/span> SD2=<\/span>9.949874<\/span>\nt =<\/span> 2.846<\/span>,<\/span> df =<\/span> 12.195<\/span>,<\/span> p-<\/span>value =<\/span> 0.01453<\/span>\nalternative hypothesis:<\/span> two.sided\nsample estimates:<\/span>\n[<\/span>1<\/span>]<\/span> -<\/span>9<\/span>\n<\/code><\/pre>\n\n\n\n
\u4e00\u4eba\u4e00\u4eba\u306e\u30c7\u30fc\u30bf\u304c\u3042\u308b\u5834\u5408\u306f\u3001t.test()\u3092\u4f7f\u3048\u3070\u3088\u3044\u304c\u3001\u4eba\u6570\u3001\u5e73\u5747\u5024\u3001\u6a19\u6e96\u504f\u5dee\u3060\u3051\u304c\u5f97\u3089\u308c\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u4eca\u56de\u81ea\u4f5c\u306e\u95a2\u6570\u3092\u4f7f\u3046\u3068\u8a08\u7b97\u3067\u304d\u308b\u3002<\/p>\n\n\n\n
\u5148\u884c\u7814\u7a76\u304b\u3089\u4eba\u6570\u3001\u5e73\u5747\u5024\u3001\u6a19\u6e96\u504f\u5dee\u3068\u3044\u3046\u8981\u7d04\u5024\u3057\u304b\u5f97\u3089\u308c\u306a\u3044\u5834\u5408\u306b\u3069\u3093\u306a\u6761\u4ef6\u3067\u3042\u308c\u3070\u3001\u7d71\u8a08\u5b66\u7684\u306b\u6709\u610f\u306b\u306a\u308b\u304b\u306a\u3069\u3092\u691c\u8a0e\u3059\u308b\u969b\u306b\u5f79\u7acb\u3064\u3002<\/p>\n\n\n\n
\u4f8b\u3048\u3070\u30b0\u30eb\u30fc\u30d71\u306e\u6a19\u6e96\u504f\u5dee\u304c3\u500d\uff08\u3064\u307e\u308a\u540c\u3058\uff09\u306b\u306a\u3063\u305f\u3089\u3001\u3069\u3046\u306a\u308b\u304b\uff1f<\/p>\n\n\n\n
><\/span> welch.t.test<\/span>(<\/span>N1=<\/span>11<\/span>,<\/span> X1bar=<\/span>9<\/span>,<\/span> s1=<\/span>3.316625<\/span>*<\/span>3<\/span>,<\/span> N2=<\/span>11<\/span>,<\/span> X2bar=<\/span>18<\/span>,<\/span> s2=<\/span>9.949874<\/span>)<\/span>\nWelch t-<\/span>test\ndata:<\/span>\nN1=<\/span>11<\/span>,<\/span> X1bar=<\/span>9<\/span>,<\/span> SD1=<\/span>9.949875<\/span>\nN2=<\/span>11<\/span>,<\/span> X2bar=<\/span>18<\/span>,<\/span> SD2=<\/span>9.949874<\/span>\nt =<\/span> 2.1213<\/span>,<\/span> df =<\/span> 20<\/span>,<\/span> p-<\/span>value =<\/span> 0.04658<\/span>\nalternative hypothesis:<\/span> two.sided\nsample estimates:<\/span>\n[<\/span>1<\/span>]<\/span> -<\/span>9<\/span>\n<\/code><\/pre>\n\n\n\n
\u5148\u307b\u3069\u306b\u6bd4\u3079\u3001p\u5024\u304c3\u500d\u4ee5\u4e0a\u306b\u306a\u3063\u3066\u3044\u3066\u30010.05\u8fd1\u304f\u306b\u306a\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
\u3053\u306e\u3088\u3046\u306b\u7c21\u5358\u306b\u67b6\u7a7a\u306e\u6761\u4ef6\u3067\u306e\u7d50\u679c\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002<\/p>\n\n\n\n
\u3053\u308c\u306f\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306e\u969b\u306b\u5f79\u306b\u7acb\u3064\u3002<\/p>\n\n\n\n
\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092 SPSS \u3067\u3082\u5b9f\u884c\u3057\u3066\u307f\u308b<\/h2>\n\n\n\n
SPSS\u3067\u3082\u8a08\u7b97\u3057\u3066\u307f\u305f\u3002<\/p>\n\n\n\n
SPSS\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30b0\u30eb\u30fc\u30d7\u3092\u7e26\u65b9\u5411\u306b\u7a4d\u307f\u91cd\u306d\u3066\u4e26\u3079\u306a\u3044\u3068\u8a08\u7b97\u3067\u304d\u306a\u3044\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u691c\u5b9a\u5909\u6570\u306b\u76ee\u7684\u5909\u6570X\u3092\u5165\u308c\u3066\u3001\u30b0\u30eb\u30fc\u30d7\u5909\u6570\u306bgroup\u3092\u5165\u308c\u3001\u30b0\u30eb\u30fc\u30d7\uff11\u3068\uff12\u3092\u8a8d\u8b58\u3055\u305b\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
OK\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3068\u7d50\u679c\u304c\u51fa\u529b\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u7d71\u8a08\u91cf\u304c\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u72ec\u7acb\u30b5\u30f3\u30d7\u30eb\u306e\u691c\u5b9a\u306e\u9805\u306b\u3001\u691c\u5b9a\u7d50\u679c\u304c\u8868\u793a\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u7b49\u5206\u6563\u3092\u4eee\u5b9a\u3057\u306a\u3044\u3068\u3044\u3046\u884c\u304c\u30a6\u30a7\u30eb\u30c1\u306e\u691c\u5b9a\u306e\u7d50\u679c\u3060\u3002<\/p>\n\n\n\n
\u3055\u3089\u306b\u3001\u8981\u7d04\u306e t \u691c\u5b9a\u3092\u4f7f\u7528\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u8981\u7d04\u5024\uff08\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3001\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\uff09\u3092\u5165\u529b\u3059\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u7d50\u679c\u306fR\u306et.test()\u3068\u540c\u3058\u3067\u3042\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u5dee\u306e95\uff05\u4fe1\u983c\u533a\u9593\u306f\u3001\u6b63\u78ba\u78ba\u7387\u3067\u4e0d\u7b49\u5206\u6563\u306e\u884c\u306e\u7d50\u679c\u304c R \u306e\u7d50\u679c\u3068\u4e00\u81f4\u3057\u3066\u3044\u305f\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u5e73\u5747\u5024\u306e\u5dee\u306e\u691c\u5b9a\u3001\u3044\u308f\u3086\u308b t \u691c\u5b9a\u306f\u3001\u3044\u3064\u3067\u3082\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092\u884c\u3048\u3070\u3088\u3044\u3002<\/p>\n\n\n\n
\u7b49\u5206\u6563\u304b\u3069\u3046\u304b\u306f\u6c17\u306b\u3057\u306a\u304f\u3066\u3088\u3044\u3002<\/p>\n\n\n\n
R \u3067\u306ft.test()\u3092\u4f7f\u3046\u3002<\/p>\n\n\n\n
\u53c2\u8003\u30b5\u30a4\u30c8<\/h2>\n\n\n\n
http:\/\/aoki2.si.gunma-u.ac.jp\/R\/my-t-test.html<\/a><\/p>\n\n\n\n\n","protected":false},"excerpt":{"rendered":"
\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u306f\u30012 \u7fa4\u304c\u7b49\u5206\u6563\u3067\u3082\u7b49\u5206\u6563\u3067\u306a\u304f\u3066\u3082\u4f7f\u3048\u308b t \u691c\u5b9a R \u3068 SPSS \u3067\u306e\u5b9f\u884c\u65b9\u6cd5<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[5,13,35],"tags":[],"class_list":["post-404","post","type-post","status-publish","format-standard","hentry","category-r","category-spss","category-t-"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/404","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=404"}],"version-history":[{"count":1,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/404\/revisions"}],"predecessor-version":[{"id":2381,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/404\/revisions\/2381"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=404"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=404"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=404"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}