Creating graphs of data with the use of INDEX is quite useful. Here are some examples:

]]>The first is just to do a scatterplot of all the data points. This allows us to “see” the variability of the data:

Similar to this is to graph each point as a column. This gives us a bit more sense of how “big” each value is:

Similar to a column chart (one column per data point) is a histogram. Instead of plotting each point, the graph shows the number of points in various ranges (for example, 1-10, 11-20, etc.). There is a built-in tool for creating histograms in the Data Analysis tool pack:

**Histograms using the Data Analysis Tool Pack**

Histograms can also be constructed using the Excel function FREQUENCY():

**Histograms using the FREQUENCY() function**

And the last graph type we will look at is an XY scatterplot:

]]>**Descriptive Statistics using Excel**

**Named Ranges, INDEX(), and Simple Graphs using the INDEX() function**

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The filter command is often a good place to start with a new dataset:

In the Analysis Toolpack, there is a way to quickly calculate the descriptive statistics for a dataset:

**Analysis Toolpack Descriptive Statistics**

Sometimes, the Analysis Toolpack is missing from the Data menu tab. If it is, here is the way to install it:

Descriptive statistics can also be computed using the built-in functions Excel provides:

]]>Here is a quick overview of the features of Excel, focusing on those we will use in the business school:

There are short-cut keys for navigating around Excel:

Referring to cells in Excel has some conventions that are useful to understand:

]]>Here is a quick overview and some helpful preference changes that will make JMP a bit easier to use:

JMP will easily import data from Excel:

Descriptive statistics with JMP:

JMP version of Excel pivot tables:

Scatterplots:

Create single regression models:

Multiple regression models, with categorical data and nonlinear relationships:

]]>day. Try it with Excel.

]]>Oh wait, it is awful to be old.

What are missing from these analyses that would help prove, or undermine, the argument put forward in the articles?

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