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The following data should fit to a power function (shown as the dotted trendline). How should the experimenters proceed with this data? 300 250 200 150 100 50 ..... 0.02 0.04 0.06 0.08 0.1 0.12 The experimenters should take more data everywhere along the x-axis. They should proceed with the data as is. The experimenters should take more data between O and 0.02 on the x-axis. The experimenters should take more data between 0.08 and 0.1 on the x-axis.

The following data should fit to a power function (shown as the dotted trendline). How should the experimenters proceed with this data? 300 250 200 150 100 50 ..... 0.02 0.04 0.06 0.08 0.1 0.12 The experimenters should take more data everywhere along the x-axis. They should proceed with the data as is. The experimenters should take more data between O and 0.02 on the x-axis. The experimenters should take more data between 0.08 and 0.1 on the x-axis.

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The following data should fit to a power function (shown as the dotted trendline). How should the experimenters proceed with this data? 300 250 200 150 100 50 0.02 0.04 0.06 0.08 0.1 0.12 The experimenters should take more data everywhere along the x-axis. O They should proceed with the data as is. O The experimenters should take more data between 0 and 0.02 on the x-axis. O The experimenters should take more data between 0.08 and 0.1 on the x-axis.
Transcribed Image Text:The following data should fit to a power function (shown as the dotted trendline). How should the experimenters proceed with this data? 300 250 200 150 100 50 0.02 0.04 0.06 0.08 0.1 0.12 The experimenters should take more data everywhere along the x-axis. O They should proceed with the data as is. O The experimenters should take more data between 0 and 0.02 on the x-axis. O The experimenters should take more data between 0.08 and 0.1 on the x-axis.
In lab, you and your group have created a linearized semi-log plot to analyze a set of data. One of your group member says that you need to add error bars to the linearized plot. How would you go about doing this? You need to take the standard deviation of your linearized data points. You can add the uncertainty from the non-linearized data onto the graph. O You need to look up the formula to propagate the error. O Linearized data doesn't have uncertainty.
Transcribed Image Text:In lab, you and your group have created a linearized semi-log plot to analyze a set of data. One of your group member says that you need to add error bars to the linearized plot. How would you go about doing this? You need to take the standard deviation of your linearized data points. You can add the uncertainty from the non-linearized data onto the graph. O You need to look up the formula to propagate the error. O Linearized data doesn't have uncertainty.
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