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English to Japanese: Statistics Translation Test General field: Tech/Engineering Detailed field: Mathematics & Statistics
Source text - English The example in Figure 4.5, uses the Fitness.jmp (SAS Institute 1987) data table in the Sample Data folder. The data are results of an aerobic fitness study. The Oxy variable is a continuous response (dependent) variable. The variables RunTime, RunPulse, and RstPulse that show in the Construct Model Effects list are continuous effects (also called regressors, factors, or independent variables). The popup menu at the upper-right of the dialog shows Standard Least Squares, which defines the fitting method or fitting personality. The various fitting personalities are described later in this chapter. This standard least squares example, with a single continuous Y variable and several continuous X variables, specifies a multiple regression. After a model is defined in the Model Specification dialog, click Run Model to perform the analysis and generate a report window with the appropriate tables and supporting graphics. A standard least squares analysis such as this multiple regression begins by showing you the Summary of Fit table, the Parameter Estimates table, and the Effect Tests table. If you want, you can open additional tables and plots, such as those shown in Figure 4.6, to see details of the analysis. Or, if a screening or response surface analysis seems more appropriate, you can choose commands from the Effect Screening and Factor Profiling menus at the top of the report.
(220 words)
Translation - Japanese 図4.5の例はサンプルデータフォルダあるFitness.jmp（SAS インスティチュート，1987）データ表を使用している。データは有酸素フィットネス研究の結果である。酸素変数は連続応答（従属）変数である。構造モデル効果リストに示されたRunTime変数、RunPulse変数、RstPulse変数は連続効果である（回帰要因、要因、あるいは独立変数とも呼ばれる）。ダイアログの右上にあるポップアップメニューは標準最小二乗値であり、あてはまりの方法や特性を定義している。さまざまなあてはまりの特性がこの章で後述される。単一のY連続変数と複数のX連続変数をもつ、この標準最小二乗値の例は重回帰を特定している。モデル仕様ダイアログでモデルが定義された後、モデルの実行をクリックし、分析を行い、適切な表とサポートされているグラフをレポート画面に表示する。この重回帰のような標準最小二乗分析は、まず、あてはまりをまとめた表、パラメータの推定表、効果の検定表を表示する。もし分析の詳細を知りたいときは、図4.6に示されたような、追加の表やプロット図を開くことも可能である。あるいは、スクリーニングや応答曲面法がより適切に見える場合は、レポートの一番上にある効果スクリーニングと要因プロファイリングのメニューからコマンドを選ぶこともできる。
(524文字)
Japanese to English: Abstract Translation General field: Social Sciences Detailed field: Psychology
Source text - Japanese −図工の授業に関して教師が抱える困りごとのリサーチから−
Translation - English Toward development of a training program for elementary school teachers to improve their ability in Arts education I: Research on teachers’ burden to teach in Arts and Crafts classes
(28 words)
Arts and crafts classes are mandatory in elementary schools in Japan, but very few teachers have background in arts education. To concretely grasp teachers’ burden in Arts and Crafts classes at elementary schools, first, we interviewed with 20 teachers to develop a survey. Second, we conducted the survey for 89 teachers (average years of teaching 12.1 years, SD 10.95 years, range 1-37 years ). Results showed that teachers with shorter teaching experience tended to have more and stronger burdens in the class. They also wanted to learn wider varieties of art supplies and techniques. Overall, the teachers frequently stated that they wanted to learn more about how to use art supplies, how to teach expression techniques, and how to grade a student in Arts and Crafts class. Especially, they often wondered how to evaluate student’s artwork.
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Master's degree - Chiba University
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Years of experience: 17. Registered at ProZ.com: Jun 2018.
Bi-cultural communicator who raised, educated and worked in Japan. I have been living and working in US for over 15 years. With passion in Data, Psychology, Arts, and People. I bring better communication and deeper understanding about numbers to future clients, colleagues, and employers.
Keywords: Japanese, survey research, localization, data analysis, statistics, education, psychology, community agencies, higher education, SDL Trados Studio 2017. See more.Japanese, survey research, localization, data analysis, statistics, education, psychology, community agencies, higher education, SDL Trados Studio 2017, SAS, SPSS, Excel, Word, Powerpoint, Publisher, Canva, Database, Medical, Healthcare, Legal, . See less.
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