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Angleščina
59 b
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Mehka
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2.32
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This textbook demystifies the complex Statistical calculations and difficulty in analyzing and interpreting assessment data by presenting simplified approaches for:
• Understanding data types and using appropriate graphical and numerical forms to describe data.
• Correctly reading and interpreting quantitative data and qualitative data presented in charts, tables, and graphs including pie charts, bar graphs, two-way tables, side-by-side bar graphs, segmented bar graphs, line graphs, histograms, dotplots, parallel boxplots, side-by-side stemplots, and scatter plots.
• Correctly reading and interpreting quantitative data presented in numerical forms including mean, median, standard deviation, range, interquartile range, percentiles, quartiles, and standardized scores (z-scores).
• Making data-driven decisions based on statistical calculations and interpretations.
• Using the results of prudent data analysis to drive leadership and instruction.
• Using the findings of extensive data analysis of assessment data to develop an innovative school improvement action plan.
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