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What would you use to determine how close to the true value an experimental value is?
Wiki User
∙ 10y ago
I would begin by making some plots of the data: histogram, empirical distribution function in particular. My main concerns would be: presence of outliers, clear mode, enough data to define a clear histogram. I would watch for any apparent anomalies. If it appeared that the data approximated a normal distribution then I would probably measure scale with standard deviation. In other cases, I might first try to transform the data. In fact, this could be an initial option prior to plotting if the data is one of those well-known types that responds well to this.
Wiki User
∙ 10y ago
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Experimental errors would cause the experimental value of specific heat capacity to be higher than the standard value.
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