データの種類 |
グラフ
テキスト
数値
表
|
データの変数(パラメーター)の変数名 |
LISTENING SCORE|COUNTRY|WRITING SCORE|SPEAKING SCORE|READING SCORE|NATIVE LANGUAGE|TOTAL SCORE |
データの概要説明 |
The dataset provide information about average TOEFL scores classified by native country of test takers. |
想定しているデータの分析・シミュレーションプロセス |
There are several methods that can be used to analyze the dataset. For instance, large score differences software can be used to detect significant changes in scores for repeat test takers. Moreover, site historical performance data should be maintained to identify any discrepancies that need to be addressed. |
想定しているデータの分析・シミュレーションプロセスの結果 (データ分析結果/ツールの出力/典型例など) |
Evaluation of test scores can be used to assess the language proficiency of students in a target country. The policy makers such as ministers of education can benefits from such statistics as English is growing more important. |
上記の分析・シミュレーションプロセス以外に期待する分析 |
We anticipate that the model can be adjusted to be more precise and eventually lead to some advisable information that may prove useful for those people who make the policy. |
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