Why is squaring such an important step in calculating the standard deviation? That is, which of the following statements is true? If you don't square, deviation scores will never average to zero. Squaring ensures that data will be reliable. When you sqaure, this makes values bigger and it is important to have large values. If you don't square, deviation scores will always average to zero.

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A: Reliability analysis in statistics is about measuring consistency of statistical measures.

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Q: Please also explain why you determined whether or not the results are statistically significant. The…

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Q: Z 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3…

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Q: Please also explain why you determined whether or not the results are statistically significant.…

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