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On a test that has a normal distribution, a score of 43 falls one standard deviation above the
mean, and a score of 19 falls three standard deviations below the mean. Determine the mean of
this test.
Answer Attempt 2 out of 2



Answer :

To find the mean of the test scores, let's use the information provided about how the scores relate to the mean and the standard deviation. 1. According to the given information, a score of 43 is one standard deviation above the mean. We can express this mathematically as: \[ \text{mean} + 1 \times \text{standard deviation} = 43 \] 2. Similarly, a score of 19 is three standard deviations below the mean: \[ \text{mean} - 3 \times \text{standard deviation} = 19 \] Let's denote: - The mean of the test scores as \( m \) - The standard deviation as \( \text{std} \) Now we can rewrite our two equations as follows: \[ m + \text{std} = 43 \quad \text{(Equation 1)} \] \[ m - 3\text{std} = 19 \quad \text{(Equation 2)} \] Our goal is to solve for \( m \). We can do this by using these two equations to express \( \text{std} \) in terms of \( m \) and then substituting it back. From Equation 1: \[ \text{std} = 43 - m \] Now, substitute \( \text{std} \) from Equation 1 into Equation 2: \[ m - 3(43 - m) = 19 \] To solve for \( m \), expand the equation: \[ m - 129 + 3m = 19 \] Combine like terms: \[ 4m - 129 = 19 \] Add 129 to both sides to isolate the term with \( m \): \[ 4m = 19 + 129 \] \[ 4m = 148 \] Finally, divide both sides by 4 to solve for \( m \): \[ m = \frac{148}{4} \] \[ m = 37 \] Therefore, the mean of the test scores is \( 37 \).