Questions: Data Set 4-2 5,3,9,7,6 A raw score of 5 in Data Set 4-2 has a z score of -0.05 -0.5 0.45 -0.45

Data Set 4-2
5,3,9,7,6

A raw score of 5 in Data Set 4-2 has a z score of
-0.05
-0.5
0.45
-0.45
Transcript text: Data Set 4-2 $5,3,9,7,6$ A raw score of 5 in Data Set 4-2 has a $\boldsymbol{z}$ score of $-0.05$ $-0.5$ 0.45 $-0.45$
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Solution

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Solution Steps

To find the z-score of a raw score in a data set, we use the formula: \( z = \frac{(X - \mu)}{\sigma} \), where \( X \) is the raw score, \( \mu \) is the mean of the data set, and \( \sigma \) is the standard deviation. First, calculate the mean of the data set. Then, compute the standard deviation. Finally, apply the z-score formula using the raw score of 5.

Step 1: Calculate the Mean

The mean (\(\mu\)) of the data set \([5, 3, 9, 7, 6]\) is calculated as follows: \[ \mu = \frac{5 + 3 + 9 + 7 + 6}{5} = \frac{30}{5} = 6 \]

Step 2: Calculate the Standard Deviation

The standard deviation (\(\sigma\)) is calculated using the formula: \[ \sigma = \sqrt{\frac{(5-6)^2 + (3-6)^2 + (9-6)^2 + (7-6)^2 + (6-6)^2}{5}} \] \[ = \sqrt{\frac{1 + 9 + 9 + 1 + 0}{5}} = \sqrt{\frac{20}{5}} = \sqrt{4} = 2 \]

Step 3: Calculate the Z-Score

The z-score (\(z\)) for the raw score \(X = 5\) is calculated using the formula: \[ z = \frac{X - \mu}{\sigma} = \frac{5 - 6}{2} = \frac{-1}{2} = -0.5 \]

Final Answer

The z-score of a raw score of 5 in Data Set 4-2 is \(\boxed{-0.5}\).

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