Creating tables and graphs (excel) 2011 2012
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This document provides instructions for organizing data in an Excel table, creating a scatter plot graph from that table, and using the graph to predict values. It describes how to: 1) Create an Excel table with an independent variable in column A and dependent variable trials in columns B-D, and add an average formula. 2) Select the independent variable and average columns to insert an XY scatter graph, apply a layout and label axes. 3) Add a trendline to the graph and use it to make forward and backward predictions by entering values. 4) Adjust the axis scales and mark the predicted length for a given time period.
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(Throughout this document, a set of data refers to observations of just one variable.)
(1) To portray as a bar chart a given frequency, relative frequency, or percentage distribution of a set of qualitative data, one may:
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4. (a) Choose (from upper menu) Layout, then Data Labels, then More Data Label Options (which will by default cause each “Value”--i.e, each count or proportion or percentage selected in step 1.--to appear on or near a pie slice); (b) if you wish each category or numeric class to appear on or near a pie slice, select Category name, then your preferred position; (c) click on Close; and (d) if the legend box is now superfluous, delete it.
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· To count how many of the cells A1 through A100 contain the number 89, one may enter in some blank cell =COUNTIF(A1:A100, 89) Note: In lieu of typing in 89, one may click on a cell containing the number 89.
· To count how many of the cells A1 through A100 contain a number in the interval 10 to under 20, enter in some blank cell =COUNTIF(A1:A100,”<20”)-COUNTIF(A1:A100,”<10”)
· Note: Each relative address A1:A100 above may be replaced by the absolute address $A$1:$A$100. In lieu of typing in the absolute address $A$1:$A$100, .
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