如何选取origin图上的一段数据求平均值
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首先录入数据,格式有点类似Excel,设置3列,如果新建一个project只有2列就点右键增加一列。然后将三组数据分别输入3列中。好的,数据库建好了(这格式明显不同于spss)。
然后点击statistics这个菜单中one-way ANOVA,将左边Avariable中的3个变量全部选入右边框,下边默认检验水准0.05。虽然下面给出的两两比较方法都趋于保守,不过还是可以选取Sch做做!然后点击compute计算就得结果。
下面是个结果实例:
One-Way ANOVA
Summary Statistics
Dataset N Mean SD SE
-------------------------------------------------------------------------------------------
Data1_A 10 25.415 1.80974 0.57229
Data1_B 10 26.832 2.68258 0.84831
Data1_C 10 44.309 2.46771 0.78036
-------------------------------------------------------------------------------------------
Null Hypothesis: The means of all selected datasets are equal
Alternative Hypothesis: The means of one or more selected datasets are different
ANOVA
Sum of Mean
Source DoF Squares Square F Value P Value
------------------------------------------------------------------------------
Model 2 2214.78885 1107.39442 200.60268 0.00000
Error 27 149.049100 5.52033704
------------------------------------------------------------------------------
At the 0.05 level,
the population means are significantly different.
Means Comparison using Scheffe' Test
Dataset Mean Difference Simultaneous Significant
between Confidence Intervals at 0.05
Data1_A 25.415 Means Lower Limit Upper Limit Level
------------------------------------------------------------------------------------------------------------
Data1_B 26.832 -1.417 -4.13847 1.30447 No
Data1_C 44.309 -18.894 -21.61547 -16.17253 Yes
------------------------------------------------------------------------------------------------------------
Data1_B 26.832
------------------------------------------------------------------------------------------------------------
Data1_C 44.309 -17.477 -20.19847 -14.75553 Yes
然后点击statistics这个菜单中one-way ANOVA,将左边Avariable中的3个变量全部选入右边框,下边默认检验水准0.05。虽然下面给出的两两比较方法都趋于保守,不过还是可以选取Sch做做!然后点击compute计算就得结果。
下面是个结果实例:
One-Way ANOVA
Summary Statistics
Dataset N Mean SD SE
-------------------------------------------------------------------------------------------
Data1_A 10 25.415 1.80974 0.57229
Data1_B 10 26.832 2.68258 0.84831
Data1_C 10 44.309 2.46771 0.78036
-------------------------------------------------------------------------------------------
Null Hypothesis: The means of all selected datasets are equal
Alternative Hypothesis: The means of one or more selected datasets are different
ANOVA
Sum of Mean
Source DoF Squares Square F Value P Value
------------------------------------------------------------------------------
Model 2 2214.78885 1107.39442 200.60268 0.00000
Error 27 149.049100 5.52033704
------------------------------------------------------------------------------
At the 0.05 level,
the population means are significantly different.
Means Comparison using Scheffe' Test
Dataset Mean Difference Simultaneous Significant
between Confidence Intervals at 0.05
Data1_A 25.415 Means Lower Limit Upper Limit Level
------------------------------------------------------------------------------------------------------------
Data1_B 26.832 -1.417 -4.13847 1.30447 No
Data1_C 44.309 -18.894 -21.61547 -16.17253 Yes
------------------------------------------------------------------------------------------------------------
Data1_B 26.832
------------------------------------------------------------------------------------------------------------
Data1_C 44.309 -17.477 -20.19847 -14.75553 Yes
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1.全选两组数据,点击Origin菜单栏上的Plot ——> Line+ Symbol 绘图 2.双击绘制好的图线,在弹出的Plot Detail对话框里选择右侧的Group选项卡,勾选Independent,点击Apple 3.在Plot Detail对话框中,选择左侧的一组数据,然后在右侧的Line选项卡中选择...
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