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      <title>CCSS Alignment Tri-Cities by Allison</title>
      <link>https://padlet.com/adevincenzi/gq0j117msldk</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2017-05-31 18:43:59 UTC</pubDate>
      <lastBuildDate>2017-06-08 00:46:26 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title>6.SP.A.1</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686689</link>
         <description><![CDATA[<div>Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686689</guid>
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      <item>
         <title>6.SP.A.2</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686690</link>
         <description><![CDATA[<div>Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686690</guid>
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      <item>
         <title>6.SP.A.3</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686691</link>
         <description><![CDATA[<div>Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
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      <item>
         <title>6.SP.A</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686692</link>
         <description><![CDATA[<div>Develop understanding of statistical variability.</div>]]></description>
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         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686692</guid>
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      <item>
         <title>6.SP.B.4</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686693</link>
         <description><![CDATA[<div>Display numerical data in plots on a number line, including dot plots, histograms, and box plots.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686693</guid>
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      <item>
         <title>6.SP.B.5.A</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686694</link>
         <description><![CDATA[<div>Summarize numerical data sets in relation to their context, such as by:  Reporting the number of observations.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686694</guid>
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      <item>
         <title>6.SP.B.5.B</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686695</link>
         <description><![CDATA[<div>Summarize numerical data sets in relation to their context, such as by:  Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686695</guid>
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      <item>
         <title>6.SP.B.5.C</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686696</link>
         <description><![CDATA[<div>Summarize numerical data sets in relation to their context, such as by:  Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686696</guid>
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      <item>
         <title>6.SP.B.5.D</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686697</link>
         <description><![CDATA[<div>Summarize numerical data sets in relation to their context, such as by:  Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686697</guid>
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      <item>
         <title>6.SP.B.5</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686698</link>
         <description><![CDATA[<div>Summarize and describe distributions.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686698</guid>
      </item>
      <item>
         <title>7.SP.A.1</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686699</link>
         <description><![CDATA[<div>Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686699</guid>
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      <item>
         <title>7.SP.A.2</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686700</link>
         <description><![CDATA[<div>Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686700</guid>
      </item>
      <item>
         <title>7.SP.A</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686701</link>
         <description><![CDATA[<div>Use random sampling to draw inferences about a population.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686701</guid>
      </item>
      <item>
         <title>7.SP.B</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686703</link>
         <description><![CDATA[<div>Draw informal comparative inferences about two populations.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686703</guid>
      </item>
      <item>
         <title>7.SP.B.3</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686704</link>
         <description><![CDATA[<div>Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686704</guid>
      </item>
      <item>
         <title>7.SP.B.4</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686705</link>
         <description><![CDATA[<div>Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686705</guid>
      </item>
      <item>
         <title>8.SP.A</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686706</link>
         <description><![CDATA[<div>Investigate patterns of association in bivariate data.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686706</guid>
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      <item>
         <title>8.SP.A.1</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686707</link>
         <description><![CDATA[<div>Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686707</guid>
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      <item>
         <title>8.SP.A.2</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686708</link>
         <description><![CDATA[<div>Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686708</guid>
      </item>
      <item>
         <title>8.SP.A.3</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686709</link>
         <description><![CDATA[<div>Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686709</guid>
      </item>
      <item>
         <title>8.SP.A.4</title>
         <author>adevincenzi</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686710</link>
         <description><![CDATA[<div>Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-31 18:43:59 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174686710</guid>
      </item>
      <item>
         <title>Summarization</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174721718</link>
         <description><![CDATA[<div>Students can summarize numerical data sets in relation to their context in several different ways.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-01 00:22:19 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174721718</guid>
      </item>
      <item>
         <title>General Understanding</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174721867</link>
         <description><![CDATA[<div>Know and understand the ideas that encompass statistics.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-01 00:24:15 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174721867</guid>
      </item>
      <item>
         <title>Drawing inferences</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174722701</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2017-06-01 00:33:19 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174722701</guid>
      </item>
      <item>
         <title>Understand and be able to work with graphs</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174722972</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2017-06-01 00:35:44 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174722972</guid>
      </item>
      <item>
         <title>Prior Knowledge/Skills (Elementary)</title>
         <author>emyleehirsch</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/174723108</link>
         <description><![CDATA[<div>-Understand average<br>-Understand units of measurement <br>-Be exposed to several graph types and know how to interpret them (bar graph, pie chart, line plot)<br>-How to build a graph<br>-Collect data<br>-Compare/contrast graphs<br>-Be able to understand and create a number line</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-01 00:37:08 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/174723108</guid>
      </item>
      <item>
         <title>5.MD.B.2</title>
         <author>emyleehirsch</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175647701</link>
         <description><![CDATA[<div>Make a line plot to display a data set of measurements in fractions of a unit (1/2, 1/4, 1/8). Use operations on fractions for this grade to solve problems involving information presented in line plots. </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:12:44 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175647701</guid>
      </item>
      <item>
         <title>1.MD.C.4</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648011</link>
         <description><![CDATA[<div>Organize, represent, and interpret data with up to three categories; ask and answer questions about the total number of data points, how many in each category, and how many more or less are in one category than in another.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:15:44 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648011</guid>
      </item>
      <item>
         <title>K.MD.B.3</title>
         <author></author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648125</link>
         <description><![CDATA[<div>Classify objects into given categories; count the numbers of objects in each category and sort the categories by count.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:16:37 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648125</guid>
      </item>
      <item>
         <title>2.MD.A.2</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648296</link>
         <description><![CDATA[<div>Measure the length of an object twice, using length units of different lengths for the two measurements; describe how the two measurements relate to the size of the unit chosen.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:18:18 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648296</guid>
      </item>
      <item>
         <title>3.MD.B.3</title>
         <author></author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648519</link>
         <description><![CDATA[<div>Draw a scaled picture graph and a scaled bar graph to represent a data set with several categories. Solve one- and two-step "how many more" and "how many less" problems using information presented in scaled bar graphs. </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:20:35 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175648519</guid>
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      <item>
         <title>High School</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175649023</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:26:47 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175649023</guid>
      </item>
      <item>
         <title>3.MD.B.4</title>
         <author></author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175649217</link>
         <description><![CDATA[<div>Generate measurement data by measuring lengths using rulers marked with halves and fourths of an inch. Show the data by making a line plot, where the horizontal scale is marked off in appropriate units— whole numbers, halves, or quarters.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:29:16 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175649217</guid>
      </item>
      <item>
         <title>HSS.IC.A.1</title>
         <author>emyleehirsch</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650063</link>
         <description><![CDATA[<div>Understand statistics as a process for making inferences about population parameters based on a random sample from that population.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:40:40 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650063</guid>
      </item>
      <item>
         <title>HSS.IC.B.3</title>
         <author>emyleehirsch</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650105</link>
         <description><![CDATA[<div>Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:41:25 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650105</guid>
      </item>
      <item>
         <title>HSS.ID.B.5</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650123</link>
         <description><![CDATA[<div>Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:41:38 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650123</guid>
      </item>
      <item>
         <title>HSS.ID.A.3</title>
         <author>diana_farias</author>
         <link>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650402</link>
         <description><![CDATA[<div>Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-06-08 00:45:19 UTC</pubDate>
         <guid>https://padlet.com/adevincenzi/gq0j117msldk/wish/175650402</guid>
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