Microsoft excel 2010 data analysis mac

It's help me to start analysis in xls. Thank You! This was really helpful, so clear and straight to the point.

Post navigation

Thank you so much. The Analysis Toolpak is installed. The Data Analysis button is not there. This is Excel I installed the Analysis toolpak, but there is no button for it. What's wrong?

Thank you very much for the easy to follow instruction! Larry - you might need to close the program and open it again. Thank you very much for your help, it does even in my Microsoft Office From Dar es Salaam, Tanzania. Bedanta - Unfortunately it looks like slicers are not available for any Excel product prior to That being said, I found this discussion thread that discusses possible alternatives, https: I hope this helps!

Much appreciated!

Thanks really helpful. Add a public comment to this FAQ Entry. Contact Us! In the Add-Ins window, check the Analysis Toolpak box. Then click OK. Click Tools on the menu bar. To use it in Excel, however, you need to load it first. If you get prompted that the Analysis ToolPak is not currently installed on your computer, click Yes to install it.

To check this see if Data Analysis is listed under the Data tab. However, here are some options you can try. This tool uses the worksheet functions RANK. If you want to account for tied values, use the RANK. AVG function, which returns the average rank for the tied values. The Regression analysis tool performs linear regression analysis by using the "least squares" method to fit a line through a set of observations. You can analyze how a single dependent variable is affected by the values of one or more independent variables. For example, you can analyze how an athlete's performance is affected by such factors as age, height, and weight.

You can apportion shares in the performance measure to each of these three factors, based on a set of performance data, and then use the results to predict the performance of a new, untested athlete. The Sampling analysis tool creates a sample from a population by treating the input range as a population. When the population is too large to process or chart, you can use a representative sample.

You can also create a sample that contains only the values from a particular part of a cycle if you believe that the input data is periodic. For example, if the input range contains quarterly sales figures, sampling with a periodic rate of four places the values from the same quarter in the output range. The Two-Sample t-Test analysis tools test for equality of the population means that underlie each sample. The three tools employ different assumptions: For all three tools below, a t-Statistic value, t, is computed and shown as "t Stat" in the output tables.

Depending on the data, this value, t, can be negative or nonnegative. This analysis tool and its formula perform a paired two-sample Student's t-Test to determine whether observations that are taken before a treatment and observations taken after a treatment are likely to have come from distributions with equal population means.

This t-Test form does not assume that the variances of both populations are equal. Among the results that are generated by this tool is pooled variance, an accumulated measure of the spread of data about the mean, which is derived from the following formula.

This analysis tool performs a two-sample student's t-Test. This t-Test form assumes that the two data sets came from distributions with the same variances. It is referred to as a homoscedastic t-Test.

You can use this t-Test to determine whether the two samples are likely to have come from distributions with equal population means. This t-Test form assumes that the two data sets came from distributions with unequal variances. It is referred to as a heteroscedastic t-Test.

As with the preceding Equal Variances case, you can use this t-Test to determine whether the two samples are likely to have come from distributions with equal population means. Use this test when there are distinct subjects in the two samples. Use the Paired test, described in the follow example, when there is a single set of subjects and the two samples represent measurements for each subject before and after a treatment. The following formula is used to calculate the degrees of freedom, df. Because the result of the calculation is usually not an integer, the value of df is rounded to the nearest integer to obtain a critical value from the t table.

The Excel worksheet function T.

TEST uses the calculated df value without rounding, because it is possible to compute a value for T. TEST with a noninteger df. Because of these different approaches to determining the degrees of freedom, the results of T. The z-Test: Two Sample for Means analysis tool performs a two sample z-Test for means with known variances.

This tool is used to test the null hypothesis that there is no difference between two population means against either one-sided or two-sided alternative hypotheses. If variances are not known, the worksheet function Z. TEST should be used instead. When you use the z-Test tool, be careful to understand the output.

The two-tailed result is just the one-tailed result multiplied by 2. The z-Test tool can also be used for the case where the null hypothesis is that there is a specific nonzero value for the difference between the two population means. For example, you can use this test to determine differences between the performances of two car models. You can always ask an expert in the Excel Tech Community , get support in the Answers community , or suggest a new feature or improvement on Excel User Voice. Create a histogram in Excel