{"id":151,"date":"2019-07-01T19:10:46","date_gmt":"2019-07-01T19:10:46","guid":{"rendered":"http:\/\/blogs.ubalt.edu\/jboettinger\/?p=151"},"modified":"2019-10-03T19:23:49","modified_gmt":"2019-10-03T19:23:49","slug":"using-spss-comparing-means-single-sample-t-test","status":"publish","type":"post","link":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/2019\/07\/01\/using-spss-comparing-means-single-sample-t-test\/","title":{"rendered":"Using SPSS: Comparing Means &#8211; Single Sample t-test"},"content":{"rendered":"<p>With a one-sample t-test, we only need to worry about working with one sample. When starting, you should already know the population mean you&#8217;ll be comparing the sample to. So in this first picture, we have one column of data lined up and ready to go.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-198\" style=\"font-size: 1rem\" src=\"http:\/\/blogs.ubalt.edu\/jboettinger\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample1-300x254.png\" alt=\"\" width=\"589\" height=\"499\" srcset=\"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample1-300x254.png 300w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample1-768x650.png 768w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample1-1024x867.png 1024w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample1-624x528.png 624w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample1.png 1218w\" sizes=\"(max-width: 589px) 100vw, 589px\" \/><!--more--><\/p>\n<p>The next step is to click the Analyze button, hover over Compare Means, and click One-Sample T-Test.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-199\" style=\"font-size: 1rem\" src=\"http:\/\/blogs.ubalt.edu\/jboettinger\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample2-300x248.png\" alt=\"\" width=\"589\" height=\"487\" srcset=\"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample2-300x248.png 300w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample2-768x635.png 768w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample2-1024x846.png 1024w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample2-624x516.png 624w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample2.png 1216w\" sizes=\"(max-width: 589px) 100vw, 589px\" \/><\/p>\n<p>A pop-up should appear. Simply move the name of your test variable to the right. In the Test Variable, type in the population mean you would like to compare the sample to.<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-200\" style=\"font-size: 1rem\" src=\"http:\/\/blogs.ubalt.edu\/jboettinger\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample3-300x241.png\" alt=\"\" width=\"589\" height=\"473\" srcset=\"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample3-300x241.png 300w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample3-768x616.png 768w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample3-1024x821.png 1024w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample3-624x500.png 624w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample3.png 1252w\" sizes=\"(max-width: 589px) 100vw, 589px\" \/><\/p>\n<p>This is what my output ended up looking like. In the first row of boxes, N is the number of data points you have. In the second row of boxes, t is the t-statistic, df is the degrees of freedom, and Sig. is the p-value. The p-value will tell you if the difference is significant. Usually, we look for a p-value less than or equal to .05 before we state that the difference between the means is significant. In this case, the difference is significant.\u00a0\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-201\" style=\"font-size: 1rem\" src=\"http:\/\/blogs.ubalt.edu\/jboettinger\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample4-300x157.png\" alt=\"\" width=\"795\" height=\"416\" srcset=\"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample4-300x157.png 300w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample4-768x402.png 768w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample4-1024x536.png 1024w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample4-624x327.png 624w, https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-content\/uploads\/sites\/1114\/2019\/06\/onesample4.png 1205w\" sizes=\"(max-width: 795px) 100vw, 795px\" \/><span style=\"font-size: 1rem\">\u00a0<\/span><span style=\"font-size: 1rem\">\u00a0<\/span><span style=\"font-size: 1rem\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>With a one-sample t-test, we only need to worry about working with one sample. When starting, you should already know the population mean you&#8217;ll be comparing the sample to. So in this first picture, we have one column of data lined up and ready to go.<\/p>\n","protected":false},"author":1347,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[151,150,147],"tags":[71,117],"_links":{"self":[{"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/posts\/151"}],"collection":[{"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/users\/1347"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/comments?post=151"}],"version-history":[{"count":3,"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/posts\/151\/revisions"}],"predecessor-version":[{"id":205,"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/posts\/151\/revisions\/205"}],"wp:attachment":[{"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/media?parent=151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/categories?post=151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.ubalt.edu\/mathsupportcenter\/wp-json\/wp\/v2\/tags?post=151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}