英语翻译说明如何绘制实验曲线实验数据用图形表示的优点是直观清晰，便于比较，容易看出数据中的极值点、转折点、周期性变化率以及其它特性。整理实验数据的第一步工作是制表，制

英语翻译说明如何绘制实验曲线实验数据用图形表示的优点是直观清晰，便于比较，容易看出数据中的极值点、转折点、周期性变化率以及其它特性。整理实验数据的第一步工作是制表，制
英语翻译
说明如何绘制实验曲线
实验数据用图形表示的优点是直观清晰，便于比较，容易看出数据中的极值点、转折点、周期性变化率以及其它特性。
整理实验数据的第一步工作是制表，制表时应明确数据之间的相关性，哪些是自变量，哪些是因变量。当需要的数据不能从表中查出时，可采用插值法，插值法中最简单的是线性插值法。使用外推法时要慎重，如果未掌握所研究数据的变化规律而随意外推是不可靠的。
第二步工作是建立坐标系，横坐标x表示自变量，纵坐标y表示因变量，坐标原点不一定为零，视具体情况而定。坐标分度应与实验数据的有效数字相符，即实验曲线的坐标读数的有效数字位数与实验数据的位数相同。考虑以上几点后，作出的图才可能正确表示出x与y之间函数关系。
第三步是将表中的数据标示在对应的坐标系中，将各离散点连接成光滑曲线时，应使曲线尽可能通过较多的实验点，或者使曲线以外的点尽可能位于曲线附近，并使曲线两边点的数目大致相等。为了评定所作曲线质量，应计算出曲线对实验数据的均方误差，均方误差越小，曲线的质量越高。

英语翻译说明如何绘制实验曲线实验数据用图形表示的优点是直观清晰，便于比较，容易看出数据中的极值点、转折点、周期性变化率以及其它特性。整理实验数据的第一步工作是制表，制
Explain how to draw the experimental curves.
The advantage of using figure to expression experimental data is clearly,easy to compare,and easy to see the extreme value point and turning point,periodic rate and other properties in the data.
The first step in experimental data sorting is tabulation.When tabulating we should make clear the relevance between the data,and know what is independent variable,what is dependent variable.When the date we needed cannot be searched out from chart,we can use interpolation method,linear interpolation method is the simplest.We should be careful to use extrapolation method.Voluntaryly extrapolating can be unreliable if we don't master the law for data changing.
The second step is to build coordinate system.Abscissa (x) expression independent variable,ordinate (y) expression dependent variable.Origin of coordinates may not be zero,it depends on particular case.Coordinates indexing should conform to the effective number of the experiment data,namely the effective digital readouts coordinates of the experimental curves should be identical with the digit of experimental data.After considering above,the figure could express correctly functional relation between x and y.
The third step is marking the date of the chart to corresponding coordinate system.When connecting each discrete point into smooth curve,we should get through more experimental point as far as possible,or make the point outside close to the curve and equalize the number of points on both sides of curve.In order to assess the quality of the curve,we should calculate mean-square error of experimental data,the smaller,the higher quality of the curve.
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explain how to draw the empirical curve
describe how to draw the empirical curve

Experimental data using graph is clearly, facilitate comparison, easy to see in the data extreme value point and turning point, periodic rate and other properties.
The first step in sorting of exp...

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Experimental data using graph is clearly, facilitate comparison, easy to see in the data extreme value point and turning point, periodic rate and other properties.
The first step in sorting of experimental data, the work is should be clear tabulation tabulation of correlation between data, which is independent, which is the dependent variable. When the data from the table to not found in May, when using interpolation method, interpolation method in the most simple linear interpolation method is. Use extrapolation carefully, if not when the master data of variation and optional extrapolation is not reliable.
The second step is to build HengZuoBiao x, y, said that argument, including different origin as dependent variable, depending on the specific circumstances of zero. Coordinates points should be well with the experimental data, the effective number of experimental curves of digital readouts effectively coordinate the digits and experimental data digits. After considering above, the figure could make x and y correctly express between function.
The third step is to be shown at the table data corresponding coordinates, to each discrese connect into smooth curve, should make as far as possible through more ShiYanDian curve, or make possible the point located outside the curve, and near the curve of the number of sides curve is roughly equivalent. In order to assess the quality, which shall be calculated curve curve of experiment data of mean square error (mse), the smaller, the higher the quality of the curve.

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