To add a segment, click the empty +Add segment label. To edit an existing segment, click the segment label at the top of your Dashboard. As in Analytics reports, you can add segments to your Dashboard, allowing you to compare and contrast metrics generated by different session or user groupings. Add segments to your Dashboard.
Put The Descriptive Analysis Add In In Your Computer For Excel On Password You UseTo do this, click the Account command. Once enabled the Data Analysis ToolPak will be Configure your Office account that’s the email address and password you use to access Microsoft’s SkyDrive service for storing spreadsheets online (Introducing SkyDrive) or for your Office 365 account (if you’re a subscriber see page xvii). The Add-Ins window will open, add a checkmark to the check box next to Analysis ToolPak, click OK.In that case, the results of your sophisticated procedure might turn out cockeyed, but you would have no special reason to suspect a missing decimal point as the cause of your findings.You can save yourself a lot of subsequent grief if you just look over some preliminary descriptive statistics based on your data set. Then you can take steps to correct data entered in error, or to adjust your decision rules if necessary, or even to replicate the experiment if it looks like something might have gone wrong with the methodology.The point is that sophisticated multivariate analyses such as factor analysis with Varimax rotation or Cox Proportional Hazards Regression do not alert you when someone entered a patient’s body temperature on Wednesday morning as 986 degrees instead of 98.6 degrees. No matter what the cause, if your data set contains any unexpected values you want to know about it. I'm having no problem finding it on my PC, but I really would like it on my mac.Any of those events could happen, whether the source of the data is a sales ledger, a beautifully designed medical experiment or a study of political preferences. The reasons vary from the mundane (someone entered an impossible value for a variable) to the technical (different sample sizes accompanying different variances).Data analysis add-ins for mac I am trying to download the data analysis add in for mac Excel 2008 and nothing is popping up in the Add-Ins menu to download.See Figure 2.1.Figure 2.1 You can analyze multiple variables in one pass.Figure 2.1 shows 11 values of two different variables in the range A1:B12. The Descriptive Statistics tool is good news and bad news.The good news is that using the tool on an existing data set gets you up to 16 different descriptive statistics, and you don’t have to enter a single function on the worksheet. COUNT( ) counts the numeric values, AVERAGE( ) returns the mean, and either STDEV.S( ) or STDEV.P( ) gets you the standard deviation.Excel comes equipped with a Descriptive Statistics tool in the Data Analysis add-in (which was at one time termed the Analysis ToolPak or ATP). MIN( ) gets you the minimum in a set of values, MAX( ) gets you the maximum, and MAX( ) − MIN( ) gets you the range. Descriptive Statistics in ExcelIf you’re using Excel to analyze the data, either as a preliminary check or as your principal numeric application, one way to carry out this sort of work is to point Excel’s various worksheet functions at the data set.When you click it, you see the list box shown in Figure 2.2.Figure 2.3 It’s usually best to keep the output on the active worksheet.Click in the Input Range box and drag through the range your data occupies. Go to the Ribbon’s Data tab and locate the Data Analysis link in the Analyze group. You’ll want your active worksheet to have one or more lists or tables, such as the two shown in columns A and B of Figure 2.1. Using the Descriptive Statistics ToolUsing the tool is easy enough. A worksheet formula recalculates when the values it points to change, but the results calculated by the Descriptive Statistics tool do not: They don’t point to anything because they’re just numbers. ( Worksheet Ply is just an old term for worksheet.) Careful! If you click the Output Range option button, the Input Range box is re-activated and gets filled with any cell or range that you click next. This instructs Excel not to treat a label as a legitimate data value, which would usually result in an error message that the input range contains non-numeric data.Click the Output Range option button, unless you want the results to be written to a new workbook or a new worksheet. Don’t worry if your variables have different numbers of records, but leave unoccupied cells empty and don’t substitute #N/A for an empty cell.Accept the default of Grouped By Columns.If the first row in the input range has labels such as variable names, fill the Labels in First Row checkbox. If you have one variable, the range might be A1:A25, or if you have three variables, the range might be B1:D85. Most of them are precisely what you would expect (mean, median, mode, range, minimum, maximum, sum, count, kth largest, and smallest values). Within a few seconds you should see results such as those shown in columns E through H of Figure 2.1.Here’s a closer look at some of the statistics shown in Figure 2.1. (I can’t recall the last time I needed either of these two statistics.)Click OK. That is, if you want the 5th largest value, fill the checkbox and enter 5 in the edit box. Also supply a value for K. Enter the confidence level you want in the edit box (often that will be 90, 95, or 99, taken as a percent).Fill the Kth Largest and the Kth smallest checkboxes if you want that information. Each of those samples would have its own mean value, such as the one shown in cell F3 of Figure 2.1. Now suppose that you took hundreds or even thousands of similar 11-record samples from the same population. Standard Error of the MeanSuppose that the 11 values in A2:A12 of Figure 2.1 are a sample from a population. Write to text file using streamwriter cIt is also an integral part of a confidence interval placed around a sample mean. You can calculate that estimate using this formula:N is the number of records in the sample (the count).The standard error of the mean is often useful when you want to test the difference between an obtained sample mean and a hypothesized value. The value in cell F4 of Figure 2.1 estimates that value, so that you don’t have to actually take hundreds or thousands of additional samples. Possession of a sample occurs much more frequently than possession of a population, so the Descriptive Statistics tool returns the value that you would get if you were using the STDEV.S( ) function. You use STDEV.S( ) when you have a sample. In the second case you are estimating the population’s standard deviation on the basis of your sample, and you use n − 1 instead of n in the denominator.In Excel, you use the worksheet function STDEV.P( ) when your data is the population. You might have 100 items sampled randomly from an ongoing process that yields millions of products per year.In the first case, where you have an entire population of values, the formula for the standard deviation uses the actual count of values, n, in its denominator. For example, you might have 100 items made in a special production run, after which the mold was broken.Your data constitutes a sample. One popular way of calculating skewness is the average of the cubed standard scores (also termed z-scores):I’m inflicting these formulas on you so that if you need to contrast the reason that R returns different values for skewness and kurtosis than Excel, you’ll be better placed to understand the differences. An asymmetric distribution is said to be skewed. SkewnessSkewness measures the symmetry in a distribution of values. The Descriptive Statistics tool returns the sample form of the variance. The confidence level is the percentage of sample confidence intervals that you expect to capture the population mean: typically, 90%, 95%, or 99%.In contrast, the Descriptive Statistics tool reports the quantity that you add to and subtract from the calculated mean so as to arrive at the confidence interval.
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