•Unit 9:   Writing Up Results
Unit 9:   Writing Up Results

imageUnit 9Writing Up Results
Unit Overview

Students write a scaffolded research paper, pulling output from their programs and their students workbooks to create a coherent narrative.

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Product Outcomes:
    Length: 10 Minutes

    Materials:
      Preparation:

        Types

        Functions

        Values

        Number

        +, -, *, /, num-sqrt, num-sqr

        4, -1.2. 2/3

        String

        string-repeat, string-contains

        "hello" "91"

        Boolean

        true false

        Image

        triangle, circle, star, rectangle, ellipse, square, text, overlay

        imageimage

        Table

        .row-n, .order-by, .filter, .build-column, num-sqr, mean, median, modes, bar-chart, pie-chart, scatter-plot, labeled-scatter-plot, lr-plot, labeled-lr-plot



        Introduction

        Overview

        Learning Objectives

          Evidence Statementes

            Product Outcomes

              Materials

                Preparation

                  Introduction (Time 10 minutes)

                  • IntroductionBeing able to talk about and understand linear regression is really important. It can be easy to misinterpret results, or to be seduced by the fancy-sounding phrase "linear regression"! As Data Scientists, you should be able to look at a chart and see if it really backs up the claim. Turn to Page 61 and see if you can spot what’s wrong with each claim!

                  Writing Up Your Findings

                  Overview

                  Learning Objectives

                    Evidence Statementes

                      Product Outcomes

                        Materials

                          Preparation

                            Writing Up Your Findings (Time flexible)

                            • Writing Up Your FindingsThroughout this course, you’ve been learning new methods of visualizing data, measuring center, and searching for correlations and meaning. You’ve had a chance to explore your dataset thoroughly, and become an expert on the ins, outs, and outliers within it. What have you found so far? Turn back to Page 59, and share your most interesting finding with the students sitting nearby.

                              Have students share back some of their findings. Challenge them to use precise language, addressing the direction and strength of their correlations and use r-squared in their explanations.

                            • Almost every unit in your student workbook has information about your analysis. It’s time to take those pages and write them up as a formal research paper!

                              • Open the sample research paper

                              • Select "Make a copy" from the File menu

                              • Write in your name(s) and change the title

                              Make sure students are doing following these steps carefully!

                            • In the Research Paper, you’ll find sections that correspond to pages in your workbook that are about your dataset.

                              For each page, write up your findings in the Research Paper. You should include tables, charts and graphs, along with paragraphs that explain each one. Make sure to write down your thinking, so that another Data Scientist could understand why you performed your analysis.

                              At this point, students are done! Have students present their findings to one another, or host a Data Science Fair!