![]() That we're going to do in this data analytics Project Work: Let us understand what is the project work In knowing these things, you should definitelyĮnroll and watch my video. We will be covering a lot of basic statistics and we'll be covering lots of graphs using different types of data, right? So if you were interested Like an Excel sheet, which I can work with. ![]() Screen on the top, I have my data sheet, which is very much Let's see what is a Minitab? Minitab is a statistical And how do I derive insights and conclusionįrom those graphs? This will really help you in understanding this Ivan also cover which graph to use when some common mistakes we have and we perform graphical analysisĪnd creating graphs. Otherwise, if it get, the video gets bigger, I will put it asĪ separate sees. We will use during theĪnalyze phase so if possible, to cover test of hypothesis. You'll understand whatĬalculations and so on. We will try to, at the end of this program, you, what will you take awayįrom this program? You will understand how toĭo some basic analysis. You some traps in which our analysis will fail and how you shouldĪvoid those traps. Because when we do analysis using simple theoryīased data points, everything appears to be normal. We're going to learn what mistakes commonly happen Student of Lean Six Sigma, who wants to getĬertified as Green Belt, Black Belt, or whoĪnalysis in their place of work. Who should attend this class? Anyone who has, who is a But let's first understand all the different types Series on test of hypothesis, which I will be sharing in the link as a link We will be coveringĭescriptive statistics, graphical summary, distributions, histogram, box-plot, bar charts,Īnd pie charts. This training program, corners data analyticsīasics of statistics. Notice the interquartile range between the 25 th and 75 th quartiles, the median line, the mean, and the whiskers.1. Model summary: The above figure demonstrates the result of the boxplot after navigating through the Minitab menus to yield this output. The box plot appears automatically in the new window.Click “OK” in the window “Boxplot– One Y, Simple.”.Click “OK” in the window “Boxplot– Data View.”.Check the boxes “Mediansymbol” and “Mean ”.Click the “Data View” button and a new window named “Boxplot– Data View” pops up.Select “HtBk” as the “Graph Variables.”.Another new window named “Boxplot– One Y, Simple” pops up.How to Use Minitab to Generate a Box Plotĭata File: “Box Plot” tab in “Sample Data.xlsx” The ends of the whiskers represent the maximum and minimum of the data, and the individual dots beyond the whiskers represent outliers in the data set. The whiskers on either side of the IQR represent the lowest and highest quartiles of the data. The line near the middle of the box represents the median (or middle value of the data set). The middle part of the plot, or the “interquartile range,” represents the middle quartiles (or the 75th minus the 25th percentile). Here are a few explanations that may help. The figure above describes how to read a box plot. At the 50th percentile, or median, 50% of the values are lower and 50% are higher than that value. For example, if 75% of the observations have values lower than 685 in a data set, then 685 is the 75th percentile of the data. A percentile is the value below which a certain percentage of data fall. A box plot is a graphical method to summarize a data set by visualizing the minimum value, 25th percentile, median, 75th percentile, the maximum value, and potential outliers.
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