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2011 EESA01 Assignment 5 Presentation_final

# 2011 EESA01 Assignment 5 Presentation_final - Assignment 5...

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Assignment 5: Presenting and Interpreting Quantitative Data EESA01 Fall 2011 *Submit an electronic file with your dataset and graphs, along with any Excel formula you used to your TA + a hard copy of your answers to the Drop Box

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Agenda Visual presentation of data: tables or graphs Calculate different types of ‘averages’ using excel Different Types of Graphs Scatter Plot Equation of the line of best fit Correlation of variation Excel Walk-Through Interpretation of Data
Presenting Data Science is concerned with trying to figure out how things work According to the Scientific Method, we make a hypothesis (or hypotheses) and then collect data to determine whether or not a hypothesis is supported or refuted Often, lots of data are collected, making our assessment of hypotheses complex Therefore, it is important to be able to present data in a concise and interpretable way

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Visual Presentation of Data Generally, data are either presented in a table or in a graph ALL visual presentations of data should highlight trends and patterns that make data analysis more straightforward
Presentation of Data in Tables TABLES are best used to summarize data with many different variables Day Daily Temp(°C) Dew Point Temp (°C) Rel Hum (%) Wind Speed (Km) 1 2.40 -2.69 70.13 12.04 2 4.47 2.61 87.75 11.58 3 1.47 -1.81 79.08 22.38 4 2.05 -1.49 78.38 27.96 5 -5.20 -11.69 61.29 12.63 6 0.40 -5.34 65.46 19.17 7 -1.38 -6.37 69.29 23.50 8 -0.06 -7.08 60.08 21.83 9 3.03 -0.57 78.00 11.17 10 4.47 2.66 88.13 20.63 11 3.17 -0.77 75.58 32.58 12 -1.23 -6.79 66.17 20.04 13 -9.40 -12.94 75.92 28.29 14 -12.32 -16.08 73.75 10.79 15 -3.67 -7.90 72.92 13.08 Eg. Daily weather data at Pearson International Airport during January 1-15, 1971

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Presenting Data in Tables Characteristics of a good data analysis TABLE: Accuracy of data/verified calculations? Data summarized with an average? Error or variability around your averages? Table include units of measure? Sufficient data in you table to know if your hypothesis is supported or not?
Different Types of “Averages” (1) MEAN (specifically an “ arithmetic mean” ): most commonly used “average” for numerical data. all the numbers are summed and then divided by the number of observations.

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