Checking out previous ordeals allows healing from emotional wounds that may go on impacting current lifetime choices.
Like Lots of individuals, chances are you'll end up training a absolutely free-line activation in which any individual might access their records at any moment.
Accessing the Akashic Records is normally safe and valuable. Even so, it’s crucial to method the exercise with regard and apparent intentions. Grounding your self following a session and setting protective boundaries may also help assure a beneficial expertise.
如果这些组来自单一人群（例如在实验治疗之前和之后测量），请执行配对 t 检验。
You may see figures or styles, or written terms, or you could possibly hear voices speaking; some people consider This can be Get hold of from angels or spirit guides.
Lie down or sit comfortably. Gradually concentrate your focus on different areas of One's body, from the toes to your head, noticing any sensations without the need of judgment.
Contemporary practitioners, very like Blavatsky and her friends, can entry the Akashic records by way of prayer, meditation, intuitive research, and dealing with spirit guides for support. There are several simple steps you need to Have in mind should you try to obtain the Akashic understanding foundation.
And since leaders have to have to soak up and synthesize a growing flood of data so that you can make superior conclusions, they’re hit significantly really hard by this emerging development.
您还可以包括被比较组的汇总统计数据，即均值和标准差。在 akashic R 中，用于计算数据平均值和标准差的代码如下所示：
The Akashic records are considered just like a databases, or an infinite library filled with details about somebody's soul.
t 检验使用组均值差异与两组合并标准误差的比率来估计两组均值之间的真实差异。您可以使用公式手动计算，或使用统计分析软件。
Nevertheless, at the center of most teachings lies a shared knowing: the Records are an energetic archive of each soul’s journey—holding the imprints of each imagined, phrase, motion, intention, and practical experience throughout time.
Tricks for growing aim and recognition and reducing tension at work. By Rasmus Hougaard, Jacqueline Carter
报告 t 检验结果时，要包括的最重要的值是t值、p值和检验的自由度。这些将向您的听众传达两组之间的差异是否具有统计显着性（也就是说，这不太可能是偶然发生的）。