MATH 1423

Diagnostic Analysis : Diagnostic analysis answers the question, "Why did this happen?" Using insights gained from statistical analysis (more on that later!), analysts use diagnostic analysis to identify patterns in data. Ideally, the analysts find similar patterns that existed in the past, and consequently, use those solutions to resolve the present challenges hopefully. Predictive Analysis : Predictive analysis answers the question, "What is most likely to happen?" By using patterns found in older data as well as current events, analysts predict future events. While there's no such thing as 100 percent accurate forecasting, the odds improve if the analysts have plenty of detailed information and the discipline to research it thoroughly. Prescriptive Analysis : Mix all the insights gained from the other data analysis types, and you have prescriptive analysis. Sometimes, an issue can't be solved solely with one analysis type, and instead requires multiple insights. Statistical Analysis : Statistical analysis answers the question, "What happened?" This analysis covers data collection, analysis, modeling, interpretation, and presentation using dashboards. The statistical analysis breaks down into two sub-categories: - Descriptive : Descriptive analysis works with either complete or selections of summarized numerical data. It illustrates means and deviations in continuous data and percentages and frequencies in categorical data. - Inferential : Inferential analysis works with samples derived from complete data. An analyst can arrive at different conclusions from the same comprehensive data set just by choosing different samplings. Text Analysis : Also called " data mining ," text analysis uses databases and data mining tools to discover patterns residing in large datasets. It transforms raw data into useful business information. Text analysis is arguably the most straightforward and the most direct method of data analysis. I want you to discuss your familiarity with EXCEL and how difficult the EXCEL project was for you. If you used an online help, such as YouTube for EXCEL tips, please share it. You will post this to the discussion forum for that unit. This will enable your classmates to benefit from your tips, too, and they can provide comments if they wish. Hello everyone. This week's assignment had been pretty straightforward, and I didn't find the topics to be too challenging in understanding the content. I will say that I had a massive amount of trouble downloading, and getting the basics of EXCEL down. For whatever reason my personal PC doesn't have the ability to run EXCEL with the
analysis toolpak, so I ended up doing most of the work at the library. To get used to the program I found a couple of links that I'll post below that go over the basics, as well as a youtube video that I found helpful. My biggest issue I faced was trying to get the toolpak downloaded in the EXCEL program on our school's computers, so here's a little step by step process seeing as it was a little different for the school's version of EXCEL. Hope this helps! FIle → Options → Add-ons → toolpak → Go → click on the toolpak again → OK → then check the data tab it should be on the far right of the screen. cd6d-42e3-9317-6b40ba1a66b4 Interactive #2 Looking over this week's workload I have found the linear graphs and sample data to be the easiest material that we covered for this section. It was really simple to just read the data, and then make a simple assumption on which graph lines up best with the data given. The hardest part of this week's material I found to be the frequency questions. There's just a lot of information that is given in a problem, and one simple misclick on the calculator would mess up the entire problem itself. That has always been a problem for me in past math classes going back to even highschool. I found that just double checking my findings before putting in my answers will normally find something wrong with my math if I did do something wrong. Yea I have used Pearson before a few times for other courses and its really not that hard to understand. I myself am still getting used to the MML program, but all in all there's not much difference from people. Just the load times seem to take longer, and this program is a lot less lenient in your answers that you put in. Like it asks you to round only one decimal point rather than two. Which to me is a bit odd, but hey, the program likes what it likes.
Uploaded by GeneralKnowledgeSeaUrchin15 on