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@@ -253,7 +253,7 @@
<paragraph id="par_id1000650" role="paragraph" xml-lang="en-US"><variable id="sam01">Choose <emph>Data - Statistics - Descriptive Statistics</emph></variable></paragraph>
</section>
<paragraph id="par_id1000660" role="paragraph" xml-lang="en-US">The Descriptive Statistics analysis tool generates a report of univariate statistics for data in the input range, providing information about the central tendency and variability of your data.</paragraph>
-<paragraph id="par_id1000670" role="note" xml-lang="en-US">For more information on descriptive statistics, refer to the <link href="http://en.wikipedia.org/wiki/Descriptive_statistics">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#sampledata01"/>
+<paragraph id="par_id1000670" role="note" xml-lang="en-US">For more information on descriptive statistics, refer to the <link href="https://en.wikipedia.org/wiki/Descriptive_statistics" name="English Wikipedia: Descriptive statistics">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#sampledata01"/>
<paragraph id="par_id1000680" role="paragraph" xml-lang="en-US">The following table displays the results of the descriptive statistics of the sample data above.</paragraph>
<table id="Tabela4">
<tablerow>
@@ -469,7 +469,7 @@
<paragraph id="par_id1001250" role="paragraph" xml-lang="en-US"><variable id="sam01">Choose <emph>Data - Statistics - Analysis of Variance (ANOVA)</emph></variable></paragraph>
</section>
<paragraph id="par_id1001260" role="paragraph" xml-lang="en-US">ANOVA is the acronym for <emph>AN</emph>alysis <emph>O</emph>f <emph>VA</emph>riance. This tool produces the analysis of variance of a given data set</paragraph>
-<paragraph id="par_id1001270" role="note" xml-lang="en-US">For more information on ANOVA, refer to the <link href="http://en.wikipedia.org/wiki/ANOVA">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
+<paragraph id="par_id1001270" role="note" xml-lang="en-US">For more information on ANOVA, refer to the <link href="https://en.wikipedia.org/wiki/ANOVA" name="English Wikipedia: ANOVA">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
<paragraph id="hd_id1000070" role="heading" xml-lang="en-US" level="3">Type</paragraph>
<paragraph id="par_id1001280" role="paragraph" xml-lang="en-US">Select if the analysis is for a <emph>single factor</emph> or for <emph>two factor</emph> ANOVA.</paragraph>
<paragraph id="hd_id1000080" role="heading" xml-lang="en-US" level="3">Parameters</paragraph>
@@ -705,7 +705,7 @@
<paragraph id="par_id1001760" role="paragraph" xml-lang="en-US">The correlation coefficient (a value between -1 and +1) means how strongly two variables are related to each other. You can use the CORREL function or the Data Statistics to find the correlation coefficient between two variables.</paragraph>
<paragraph id="par_id1001770" role="paragraph" xml-lang="en-US">A correlation coefficient of +1 indicates a perfect positive correlation. </paragraph>
<paragraph id="par_id1001780" role="paragraph" xml-lang="en-US">A correlation coefficient of -1 indicates a perfect negative correlation</paragraph>
-<paragraph id="par_id1001790" role="note" xml-lang="en-US">For more information on statistical correlation, refer to the <link href="http://en.wikipedia.org/wiki/Correlation">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#sampledata01"/>
+<paragraph id="par_id1001790" role="note" xml-lang="en-US">For more information on statistical correlation, refer to the <link href="https://en.wikipedia.org/wiki/Correlation" name="English Wikipedia: Correlation">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#sampledata01"/>
<paragraph id="par_id1001800" role="paragraph" xml-lang="en-US">The following table displays the results of the correlation of the sample data above.</paragraph>
<table id="Tabela6">
<tablerow>
@@ -777,7 +777,7 @@
<paragraph id="par_id1001950" role="paragraph" xml-lang="en-US"><variable id="cov01">Choose <emph>Data - Statistics - Covariance</emph></variable></paragraph>
</section>
<paragraph id="par_id1001960" role="paragraph" xml-lang="en-US">The covariance is a measure of how much two random variables change together.</paragraph>
-<paragraph id="par_id1001970" role="note" xml-lang="en-US">For more information on statistical covariance, refer to the <link href="http://en.wikipedia.org/wiki/Covariance">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#sampledata01"/>
+<paragraph id="par_id1001970" role="note" xml-lang="en-US">For more information on statistical covariance, refer to the <link href="https://en.wikipedia.org/wiki/Covariance" name="English Wikipedia: Covariance">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#sampledata01"/>
<paragraph id="par_id1001980" role="paragraph" xml-lang="en-US">The following table displays the results of the covariance of the sample data above.</paragraph>
<table id="Tabela7">
<tablerow>
@@ -849,7 +849,7 @@
<paragraph id="par_id1002130" role="paragraph" xml-lang="en-US"><variable id="sam01">Choose <emph>Data - Statistics - Exponential Smoothing</emph></variable></paragraph>
</section>
<paragraph id="par_id1002140" role="paragraph" xml-lang="en-US">Exponential smoothing is a filtering technique that when applied to a data set, produces smoothed results. It is employed in many domains such as stock market, economics and in sampled measurements.</paragraph>
-<paragraph id="par_id1002150" role="note" xml-lang="en-US">For more information on exponential smoothing, refer to the <link href="http://en.wikipedia.org/wiki/Exponential_smoothing">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
+<paragraph id="par_id1002150" role="note" xml-lang="en-US">For more information on exponential smoothing, refer to the <link href="https://en.wikipedia.org/wiki/Exponential_smoothing" name="English Wikipedia: Exponential smoothing">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
<paragraph id="hd_id1000120" role="heading" xml-lang="en-US" level="3">Parameters</paragraph>
<paragraph id="par_id1002160" role="paragraph" xml-lang="en-US"><emph>Smoothing Factor</emph>: A parameter between 0 and 1 that represents the damping factor Alpha in the smoothing equation.</paragraph><embed href="text/scalc/01/stat_data.xhp#timeseries01"/>
<paragraph id="par_id1002170" role="paragraph" xml-lang="en-US">The resulting smoothing is below with smoothing factor as 0.5:</paragraph>
@@ -1003,7 +1003,7 @@
<section id="howtoget">
<paragraph id="par_id1002510" role="paragraph" xml-lang="en-US"><variable id="sam01">Choose <emph>Data - Statistics - Moving Average</emph></variable></paragraph>
</section>
-<paragraph id="par_id1002520" role="note" xml-lang="en-US">For more information on the moving average, refer to the <link href="http://en.wikipedia.org/wiki/Moving_average">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
+<paragraph id="par_id1002520" role="note" xml-lang="en-US">For more information on the moving average, refer to the <link href="https://en.wikipedia.org/wiki/Moving_average" name="English Wikipedia: Moving average">corresponding Wikipedia article</link>.</paragraph><embed href="text/scalc/01/stat_data.xhp#data"/><embed href="text/scalc/01/stat_data.xhp#grouped"/>
<paragraph id="hd_id1000140" role="heading" xml-lang="en-US" level="3">Parameters</paragraph>
<paragraph id="par_id1002530" role="paragraph" xml-lang="en-US"><emph>Interval</emph>: The number of samples used in the moving average calculation.</paragraph><embed href="text/scalc/01/stat_data.xhp#timeseries01"/>
<paragraph id="hd_id1000171" role="heading" xml-lang="en-US" level="3">Results of the moving average:</paragraph>
@@ -1138,7 +1138,7 @@
<paragraph id="par_id1002830" role="paragraph" xml-lang="en-US"><variable id="sam01">Choose <emph>Data - Statistics - Paired t-test</emph></variable></paragraph>
</section>
<paragraph id="par_id1002840" role="paragraph" xml-lang="en-US">A <emph>paired t-test</emph> is any statistical hypothesis test that follows a Student's t distribution.</paragraph>
-<paragraph id="par_id1002850" role="note" xml-lang="en-US">For more information on paired t-tests, refer to the <link href="http://en.wikipedia.org/wiki/T-test">corresponding Wikipedia article</link>.</paragraph>
+<paragraph id="par_id1002850" role="note" xml-lang="en-US">For more information on paired t-tests, refer to the <link href="https://en.wikipedia.org/wiki/T-test" name="English Wikipedia: T-test">corresponding Wikipedia article</link>.</paragraph>
<paragraph id="hd_id1000160" role="heading" xml-lang="en-US" level="3">Data</paragraph>
<paragraph id="par_id1002860" role="paragraph" xml-lang="en-US"><emph>Variable 1 range</emph>: The reference of the range of the first data series to analyze.</paragraph>
<paragraph id="par_id1002870" role="paragraph" xml-lang="en-US"><emph>Variable 2 range</emph>: The reference of the range of the second data series to analyze.</paragraph>
@@ -1324,7 +1324,7 @@
<paragraph id="par_id1003250" role="paragraph" xml-lang="en-US"><variable id="sam02">Choose <emph>Data - Statistics - F-test</emph></variable></paragraph>
</section>
<paragraph id="par_id1003260" role="paragraph" xml-lang="en-US">A <emph>F-test</emph> is any statistical test based on the F-distribution under the null hypothesis.</paragraph>
-<paragraph id="par_id1003270" role="note" xml-lang="en-US">For more information on F-tests, refer to the <link href="http://en.wikipedia.org/wiki/F-test">corresponding Wikipedia article</link>.</paragraph>
+<paragraph id="par_id1003270" role="note" xml-lang="en-US">For more information on F-tests, refer to the <link href="https://en.wikipedia.org/wiki/F-test" name="English Wikipedia: F-test">corresponding Wikipedia article</link>.</paragraph>
<paragraph id="hd_id1000190" role="heading" xml-lang="en-US" level="3">Data</paragraph>
<paragraph id="par_id1003280" role="paragraph" xml-lang="en-US"><emph>Variable 1 range</emph>: The reference of the range of the first data series to analyze.</paragraph>
<paragraph id="par_id1003290" role="paragraph" xml-lang="en-US"><emph>Variable 2 range</emph>: The reference of the range of the second data series to analyze.</paragraph>
@@ -1491,7 +1491,7 @@
<section id="howtoget">
<paragraph id="par_id1003650" role="paragraph" xml-lang="en-US"><variable id="sam02">Choose <emph>Data - Statistics - Z-test</emph></variable></paragraph>
</section>
-<paragraph id="par_id1003660" role="note" xml-lang="en-US">For more information on Z-tests, refer to the <link href="http://en.wikipedia.org/wiki/Z-test">corresponding Wikipedia article</link>.</paragraph>
+<paragraph id="par_id1003660" role="note" xml-lang="en-US">For more information on Z-tests, refer to the <link href="https://en.wikipedia.org/wiki/Z-test" name="English Wikipedia: Z-test">corresponding Wikipedia article</link>.</paragraph>
<paragraph id="hd_id1000220" role="heading" xml-lang="en-US" level="3">Data</paragraph>
<paragraph id="par_id1003670" role="paragraph" xml-lang="en-US"><emph>Variable 1 range</emph>: The reference of the range of the first data series to analyze.</paragraph>
<paragraph id="par_id1003680" role="paragraph" xml-lang="en-US"><emph>Variable 2 range</emph>: The reference of the range of the second data series to analyze.</paragraph>
@@ -1646,7 +1646,7 @@
<section id="howtoget">
<paragraph id="par_id1003990" role="paragraph" xml-lang="en-US"><variable id="sam02">Choose <emph>Data - Statistics - Chi-square Test</emph></variable></paragraph>
</section>
-<paragraph id="par_id1004000" role="note" xml-lang="en-US">For more information on chi-square tests, refer to the <link href="http://en.wikipedia.org/wiki/Chi-square_test">corresponding Wikipedia article</link>.</paragraph>
+<paragraph id="par_id1004000" role="note" xml-lang="en-US">For more information on chi-square tests, refer to the <link href="https://en.wikipedia.org/wiki/Chi-square_test" name="English Wikipedia: Chi-square_test">corresponding Wikipedia article</link>.</paragraph>
<paragraph id="hd_id1000250" role="heading" xml-lang="en-US" level="3">Data</paragraph>
<paragraph id="par_id1004010" role="paragraph" xml-lang="en-US"><emph>Input range</emph>: The reference of the range of the data series to analyze.</paragraph>
<paragraph id="par_id1004020" role="paragraph" xml-lang="en-US"><emph>Results to</emph>: The reference of the top left cell of the range where the test will be displayed.</paragraph><embed href="text/scalc/01/stat_data.xhp#grouped"/><embed href="text/scalc/01/stat_data.xhp#datafortests"/>