Questions: In a distribution of Z scores, the mean is always

In a distribution of Z scores, the mean is always
Transcript text: In a distribution of $Z$ scores, the mean is always
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Solution

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Solution Steps

Step 1: Understanding the Concept of Z-Scores

A Z Z -score, also known as a standard score, measures how many standard deviations a data point is from the mean of the distribution. It is calculated using the formula: Z=Xμσ Z = \frac{X - \mu}{\sigma} where X X is the data point, μ \mu is the mean, and σ \sigma is the standard deviation.

Step 2: Analyzing the Mean of Z-Scores

When calculating Z Z -scores for an entire dataset, the mean of the Z Z -scores is always 0. This is because the Z Z -score formula centers the data around the mean by subtracting μ \mu from each data point.

Step 3: Confirming the Mean of Z-Scores

To confirm, consider the average of all Z Z -scores: Mean of Z=1ni=1nZi=1ni=1n(Xiμσ) \text{Mean of } Z = \frac{1}{n} \sum_{i=1}^{n} Z_i = \frac{1}{n} \sum_{i=1}^{n} \left( \frac{X_i - \mu}{\sigma} \right) Since μ \mu is the mean of X X , the sum i=1n(Xiμ) \sum_{i=1}^{n} (X_i - \mu) equals 0. Therefore: Mean of Z=1n0=0 \text{Mean of } Z = \frac{1}{n} \cdot 0 = 0

Final Answer

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