Statistical Significance of Web AnalyticsThis lesson will require your reading of this chapter located in the book by Avinash Kaushik, the myths of web analytics will be discussed. Locate book Web Analytics an Hour a Day by Avinash Kaushik in the APUS Library, Chapter 13 pages 329-347 and Chapter 14 pages 351-396 will be most helpful.Create an original post addressing the topic(s) below:Define and discuss Statistical Significance as it pertains to web analytics, formulate your own opinions of what this means. In addition, discuss Segmentation and the different ways of using its power.LECTURE explains the importance of Segmentation and best practices to follow: https://1147982.kaf.kaltura.com/browseandembed/index/media-redirect/entryid/1_wy45de5c/showDescription/false/showTitle/false/showTags/false/showDuration/false/showOwner/false/showUploadDate/false/playerSize/# https://edge.apus.edu/access/content/group/science-and-technology-common/WEBD/WEBD122/Lesson%20Materials/Instructor%20Lecture%20Week%207%20
-%20Segmentation%20High%20Importance_rev.pdfhttps://edge.apus.edu/access/content/group/science-and-technology-common/WEBD/WEBD122/Lesson%20Materials/KPI%20Sample-Report.pdfAnswer preview
.Statistical significance is defined as the probability that the value of the conversion rate between to a specific variable and the baseline might be inaccurate and not due to a random chance. When the outcome of an experiment is considered to be statistically significant, the inference from such as a result would be that it is not caused by chance for a given statistical level. Therefore, an analyst that uses statistical significance to support his or her result of an experiment is representing the risk tolerance and confidence level of the data presented (Cumming, 2014). Also, it is an assurance that the decisions that would be made from the application of the results would be reliable since there is an existence of the relationship that was used to determine the value
.APA 525 words
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