{"id":38708,"date":"2018-11-21T12:30:12","date_gmt":"2018-11-21T07:00:12","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=38708"},"modified":"2021-12-07T11:19:56","modified_gmt":"2021-12-07T05:49:56","slug":"qlikview-independent-sample-t-test","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/","title":{"rendered":"Independent Sample T test &#8211; QlikView Statistics Chart Wizard"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:1723,&quot;href&quot;:&quot;https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Student%27s_t-test&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251209205146\\\/https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Student%27s_t-test&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[],&quot;broken&quot;:false,&quot;last_checked&quot;:null,&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">The last session ends on <strong>QlikView T-test<\/strong>. Here, we will explore an another Statistics Chart Wizard &#8211; Independent sample T test\u00a0in QlikView. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">It is different from the other T-tests in ways in which it evaluates the data sets and produces relevant results. Moreover, we will learn how to perform Independent Sample T-test on the data loaded into QlikView. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">So, let&#8217;s start QlikView Independent Sample T test.<\/span><\/span><\/p>\n<h3 align=\"justify\">QlikView Independent Sample T text<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Independent sample T test in QlikView is another type of T test and the third test option in the statistics chart wizard of QlikView. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">An independent test tests two such sets of observations which are not related to each other or does not have the same origin.<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> Unlike in the dependent T test that we did in the earlier lessons, where we test two such observations that are related to each other. Let\u2019s try to understand this through the example we used while doing paired (dependent) T test.<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">There, we tested the marks of the same set of students (dependent) in two different situations. But, it is not the same in the case of independent\u00a0Sample\u00a0T test. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">We do not use the same set of items which gives us two different observations, but we will use distinct sets of items which are not related to each other per se. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Through this test, we can check whether the two independent observations follow the same pattern or are different from each other by evaluating their mean\/averages.<\/span><\/span><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/data-flair.training\/blogs\/chi-square-test-in-qlikview\/\">Do you know What is QlikView Chi-Square Test?<\/a><\/strong><\/p>\n<h3 align=\"justify\">How Independent Sample T test Works in QlikView?<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">To do an independent sample T test in QlikView, open the <\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"><b>Statistics Chart Wizard<\/b><\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> from the <\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"><b>Tools<\/b><\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> menu. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Now the sample data or observations we will be using here is based on the scenario given below,<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">In a school, there are two sections 9A and 9B. The section 9A by far holds the position to be better than 9B section in many ways. But, the administration wants to check the credibility of this assumption through the independent T test. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">The marks of students in section 9A and 9B are given in the table below. <\/span><\/span><\/p>\n<div id=\"attachment_42953\" style=\"width: 134px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest1.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-42953\" class=\"size-full wp-image-42953\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest1.jpg\" alt=\"Independent Sample T test - QlikView Statistics Chart Wizard\" width=\"124\" height=\"484\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest1.jpg 124w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest1-77x300.jpg 77w\" sizes=\"auto, (max-width: 124px) 100vw, 124px\" \/><\/a><p id=\"caption-attachment-42953\" class=\"wp-caption-text\">Sample Data<\/p><\/div>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Now, based on this scenario, our two hypotheses would be,<\/span><\/span><\/p>\n<ul>\n<li>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">The <em>null hypothesis<\/em> which says that both the sections are similar, and one is not superior than the other.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Whereas, the <em>alternative hypothesis<\/em> states that both sections are significantly different from each other.<\/span><\/span><\/p>\n<\/li>\n<\/ul>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">To perform the test, select the Independent T test in the wizard and click Next.<\/span><\/span><\/p>\n<div id=\"attachment_38787\" style=\"width: 752px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest2.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-38787\" class=\"size-full wp-image-38787\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest2.png\" alt=\"Independent Sample T test - QlikView Statistics Chart Wizard\" width=\"742\" height=\"549\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest2.png 742w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest2-150x111.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest2-300x222.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest2-520x385.png 520w\" sizes=\"auto, (max-width: 742px) 100vw, 742px\" \/><\/a><p id=\"caption-attachment-38787\" class=\"wp-caption-text\">QlikView Statistics Chart Wizard &#8211;\u00a0Independent Sample T test<\/p><\/div>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">In the next dialog, enter the <\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"><i>Grouping field or expression<\/i><\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">, we have entered the field as \u2018Class\u2019 from the table to group the marks of section 9A and 9B.<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> And, the <\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"><i>test value<\/i><\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> will be \u2018Marks_9\u2019 which are the marks of students from the two sections.<\/span><\/span><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-dollar-sign-expansion\/\">We recommend you to read this Dollar Sign Expansion in QlikView<\/a><\/strong><\/p>\n<div id=\"attachment_38788\" style=\"width: 752px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest3.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-38788\" class=\"size-full wp-image-38788\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest3.png\" alt=\"Independent Sample T test - QlikView Statistics Chart Wizard\" width=\"742\" height=\"549\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest3.png 742w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest3-150x111.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest3-300x222.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest3-520x385.png 520w\" sizes=\"auto, (max-width: 742px) 100vw, 742px\" \/><\/a><p id=\"caption-attachment-38788\" class=\"wp-caption-text\">Independent Sample T test<\/p><\/div>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">The description of other test value options available on this step of the wizard are described in the table below.<\/span><\/span><\/p>\n<dl>\n<dd>\n<table width=\"574\" cellspacing=\"0\" cellpadding=\"7\">\n<colgroup>\n<col width=\"131\" \/>\n<col width=\"412\" \/> <\/colgroup>\n<tbody>\n<tr valign=\"top\">\n<td width=\"131\" height=\"27\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Grouping Field\/ Expression<\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Returns test grouping data series. This option returns exactly two values. <\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"131\" height=\"28\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Value Field\/Expression<\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Returns a test value series.<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td width=\"131\" height=\"15\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">t (Show t-value)<\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">For including the t-value in the resultant chart.<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"131\" height=\"52\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">df (Show Degrees of Freedom)<\/span><\/span><\/span><\/b><\/td>\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">For including the df or Degrees of Freedom value in the resultant chart.<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td width=\"131\" height=\"43\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">p (Show p-value \/ Significance (2-tailed))<\/span><\/span><\/span><\/b><\/td>\n<td width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">For including the two-tailed p-value or significance in the resultant chart.<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"131\" height=\"15\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Mean difference<\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">For including the mean difference value in the resulting chart. <\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td width=\"131\" height=\"14\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Lower (CL%)<\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">To set the lower limit of the level of confidence percentage. <\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"131\" height=\"14\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Upper (CL%)<\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td style=\"background: #f2f2f2\" bgcolor=\"#f2f2f2\" width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">To set the upper limit of the level of confidence percentage. <\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr valign=\"top\">\n<td width=\"131\" height=\"2\">\n<p align=\"justify\"><b><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Confidence Level <\/span><\/span><\/span><\/b><\/p>\n<\/td>\n<td width=\"412\">\n<p align=\"justify\"><span style=\"color: #000000\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Specifies or sets the percentage for the level of confidence.<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/dd>\n<\/dl>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Click Finish to see the resultant <strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-table\/\">table<\/a><\/strong> for independent Sample T\u00a0test\u00a0in QlikView.<\/span><\/span><\/p>\n<div id=\"attachment_42954\" style=\"width: 1020px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-42954\" class=\"size-full wp-image-42954\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5.jpg\" alt=\"Independent Sample T test - QlikView Statistics Chart Wizard\" width=\"1010\" height=\"115\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5.jpg 1010w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5-150x17.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5-300x34.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5-768x87.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/11\/itest5-520x59.jpg 520w\" sizes=\"auto, (max-width: 1010px) 100vw, 1010px\" \/><\/a><p id=\"caption-attachment-42954\" class=\"wp-caption-text\">Independent Sample T test &#8211; QlikView Statistics Chart Wizard<\/p><\/div>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">As you can see in the table, we have two rows named \u2018Equal variance not assumed\u2019 and \u2018Equal variance assumed\u2019. Test values have been calculated separately for the two assumptions. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">To infer the result, we refer the T table. We will need two values to be able to extract result from the T table i.e. the T test value and df (degree of freedom) value. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Also, we will have to decide a confidence level i.e. 95% in our case. Now, for both the assumptions made, T test value is the same which is, -2.491. But, the df is different, in one case it is around 19 and 22 in the other.<\/span><\/span><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-trellis\/\">Do you know How to apply Trellis in Pie &amp; Bar Charts in QlikView?<\/a><\/strong><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Pin the df values on the horizontal plane and pin 0.05 (two-tailed) in the vertical plane. In this example, we are analysing in a two-tailed manner i.e. we check of the value in a plus-minus range. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">So, for the first assumption, we take 19 df and 0.05 in the two-tailed column and see the value at their intersection.<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> The value is \u00b12.093. Now, our T test value is -2.491 which falls out of the \u00b12.093 range hence rejecting the null hypothesis. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Same is the case with the value in the second assumption, where df is 22 and the T-table value comes to be \u00b12.074. In this case too the null hypothesis is rejected because -2.491 falls out of the given range.<\/span><\/span><\/p>\n<div id=\"attachment_38789\" style=\"width: 1051px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-38789\" class=\"size-full wp-image-38789\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6.png\" alt=\"Independent Sample T test - QlikView Statistics Chart Wizard\" width=\"1041\" height=\"939\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6.png 1041w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6-150x135.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6-300x271.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6-768x693.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6-1024x924.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/itest6-520x469.png 520w\" sizes=\"auto, (max-width: 1041px) 100vw, 1041px\" \/><\/a><p id=\"caption-attachment-38789\" class=\"wp-caption-text\">Independent Sample T test &#8211; T Table<\/p><\/div>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Hence, from this QlikView Independent Sample T test we can conclude that the alternative hypothesis is correct that two sections are different from each other and probably sections 9A is still actually superior (although this test cannot prove this point). <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">So, this was all about\u00a0Independent Sample T test in QlikView. Hope you like our explanation.<\/span><\/span><\/p>\n<h3 align=\"justify\">Conclusion<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Hence, in this lesson, we learned about an important statistical test called QlikView Independent sample T test. In this test, the way you interpret the values in the T table and come to conclusion is very important.<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> You must keep in mind whether you want to do a one-tailed or a two-tailed test depending on the scenario you are testing the data in. Still, have a confusion, feel free to write us!<\/span><\/span><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-themes-in-layout\/\">Related Topic &#8211; QlikView Themes<\/a><\/strong><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Student%27s_t-test\">Reference for T-Test<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The last session ends on QlikView T-test. Here, we will explore an another Statistics Chart Wizard &#8211; Independent sample T test\u00a0in QlikView. It is different from the other T-tests in ways in which it&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":38803,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[17332,17333,17334,17335],"class_list":["post-38708","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-qlikview","tag-independent-sample-t-test","tag-independent-sample-t-test-in-qlikview","tag-qlikview-independent-sample-t-test","tag-qlikview-statistics-chart-wizard"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Independent Sample T test - QlikView Statistics Chart Wizard - DataFlair<\/title>\n<meta name=\"description\" content=\"QlikView Independent Sample T test - How Independent Sample T test works in QlikView Statistics Chart Wizard, Real-time Example of T-test\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Independent Sample T test - QlikView Statistics Chart Wizard - DataFlair\" \/>\n<meta property=\"og:description\" content=\"QlikView Independent Sample T test - How Independent Sample T test works in QlikView Statistics Chart Wizard, Real-time Example of T-test\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2018-11-21T07:00:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-12-07T05:49:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Independent-Sample-T-test-01.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Independent Sample T test - QlikView Statistics Chart Wizard - DataFlair","description":"QlikView Independent Sample T test - How Independent Sample T test works in QlikView Statistics Chart Wizard, Real-time Example of T-test","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/","og_locale":"en_US","og_type":"article","og_title":"Independent Sample T test - QlikView Statistics Chart Wizard - DataFlair","og_description":"QlikView Independent Sample T test - How Independent Sample T test works in QlikView Statistics Chart Wizard, Real-time Example of T-test","og_url":"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2018-11-21T07:00:12+00:00","article_modified_time":"2021-12-07T05:49:56+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Independent-Sample-T-test-01.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/qlikview-independent-sample-t-test\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/2c58ecb4f73a39f0ef993f1ddfcd7b89"},"headline":"Independent Sample T test &#8211; 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