Satellite_microglia/MOD_revised 2a_Density analysis_Figure1.pzfx

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<WebLink Flags="0" ToolTip="@help:stat_how_to_do_an_unpaired_t_test_w_2" URL="@help:STAT_How_to_ttest_paired">
Step-by-step instructions for performing a paired t test
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How the data are organized
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<BR/>The two columns represent two sequential treatments. Each row represents a different subject (or a different set of matched data), labeled with a row title. Note that, unlike many statistics programs, groups and subjects are not defined by grouping variables. Instead, each column defines a separate group, and each row represents  a different subject. 
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<BR/><BR/>The goals
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<BR/>- To determine if the differences between the two group means
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<BR/>- 
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To determine the 95% confidence interval for the difference
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<BR/>  between the two means.
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<BR/><BR/>How to perform the paired t test
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Step-by-step instructions for performing a paired t test
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How the data are organized
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<BR/>The two columns represent two sequential treatments. Each row represents a different subject (or a different set of matched data), labeled with a row title. Note that, unlike many statistics programs, groups and subjects are not defined by grouping variables. Instead, each column defines a separate group, and each row represents  a different subject. 
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<BR/><BR/>The goals
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<BR/>- To determine if the differences between the two group means
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To determine the 95% confidence interval for the difference
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<BR/><BR/>How to perform the paired t test
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<BR/>Click  Analyze, choose t test from the list of column analyses, and then choose a paired t 
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<B><Font Size="11" Color="#000000" Face="Verdana">
How the data are organized
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>The two columns represent two sequential treatments. Each row represents a different subject (or a different set of matched data), labeled with a row title. Note that, unlike many statistics programs, groups and subjects are not defined by grouping variables. Instead, each column defines a separate group, and each row represents  a different subject. 
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<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>The goals
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>- To determine if the differences between the two group means
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>   is greater than you would expect to see by chance.
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<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/>- 
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<Font Size="11" Color="#000000" Face="Verdana">
To determine the 95% confidence interval for the difference
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>  between the two means.
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<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>How to perform the paired t test
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>Click  Analyze, choose t test from the list of column analyses, and then choose a paired t 
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