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Measuring Impact in Extension with a Paired Sample T-Test
У вашего броузера проблема в совместимости с HTML5
A paired sample T-Test is a way to measure IMPACT and determine if a change is reliable.
Learn how to calculate and interpret a p-value from your data points so you can write accurate impact statements for your Extension programs.
Please take a moment to complete this 3-question evaluation: https://usu.co1.qualtrics.com/SE/?SID=SV_4MIpNITFT7hKe8J
Music credit: "T16742" from Sung EP by mortenjohs
Теги:
p-value t-test statisitics impact extension cooperative extension Utah State University USU Student's T-test Sample Statistics (Field Of Study)
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