[英]Use paired or unpaired t-test to determine whether the difference in temperature means is statistically significant?
I am doing an analysis on whether there is a meaningful difference between the temperature in June and December in Hawaii.我正在分析夏威夷 6 月和 12 月的温度之间是否存在有意义的差异。 I first identify the average temperature in June at all stations across all available years in the dataset.
我首先确定了数据集中所有可用年份的所有站点 6 月的平均温度。 I did the same for December temperature.
我对十二月的温度做了同样的事情。 Now I have average temperatures for both june and december between the years of 2010-2017, shown below:
现在我有 2010-2017 年间 6 月和 12 月的平均气温,如下所示:
I now have to use a t-test to determine whether the difference in the means, if any, is statistically significant.我现在必须使用 t 检验来确定均值的差异(如果有的话)是否具有统计显着性。 Will I use a paired t-test, or an unpaired t-test?
我将使用配对 t 检验还是非配对 t 检验? Why?
为什么?
I am unclear whether to use a paired or unpaired t-test.我不清楚是否使用配对或非配对 t 检验。 I know paired should be used for similar samples taken at different times (ie rat tumor size before and after treatment).
我知道配对应该用于在不同时间采集的相似样本(即治疗前后的大鼠肿瘤大小)。 However, I am confused because the variable temperature is taken at two different times (June and December) at the same location (the average temperature recorded at all stations in Hawaii).
但是,我很困惑,因为变量温度是在同一地点的两个不同时间(六月和十二月)采集的(夏威夷所有站点记录的平均温度)。 I am confused as to which t-test I use for this example and why I use it.
我对我在这个例子中使用哪个 t 检验以及为什么使用它感到困惑。 Thank you.
谢谢你。
This is more of a question for Cross Validated , the exchange for statistics.这更像是一个交叉验证的问题,即统计数据的交换。
That being said, at first glance, either type of t-test would suffice for a simple analysis.话虽如此,乍一看,任何一种 t 检验都足以进行简单的分析。 Using a paired t-test would account for variation in temperatures across years (at least to some degree).
使用配对 t 检验将解释不同年份的温度变化(至少在某种程度上)。 Average temperatures and years are surely correlated.
平均温度和年份肯定是相关的。
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