QUESTION IMAGE
Question
q#1: given the population mean \\(\mu = 18\\), population standard deviation \\(\sigma = 4\\) and a data set below find the z score only for 15 from the list.
data set: 12, 13, 15, 9, 4, 10, 30, 20 and 60.
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q#2: find the z-score, given the population mean \\(\mu = 78\\), population standard deviation \\(\sigma = 10\\) an x value = 70
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q#3: convert this non-standard curve to a standard normal curve. make sure you leveled the z-score clearly!
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q#4: find the data value x, given \\(\mu = 95\\), \\(\sigma = 8\\) & \\(z = -3.25\\)
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q#5: find the standard deviation given \\(\mu = 75\\), \\(x = 85\\) & \\(z = 2.89\\).
Identify given values and formula
We use the z-score formula:
For Q#1: \(\mu = 18\), \(\sigma = 4\), and \(X = 15\).
Calculate z-score for Q#1
Substitute the values into the formula:
Calculate z-score for Q#2
For Q#2: \(\mu = 78\), \(\sigma = 10\), and \(X = 70\).
Convert curve for Q#3
The mean \(\mu = 60\) is at the center.
The standard deviation \(\sigma\) is the distance between tick marks:
To convert to a standard normal curve, the mean \(\mu\) becomes \(z = 0\).
Each tick mark represents one standard deviation:
- \(60
ightarrow 0\)
- \(72
ightarrow 1\)
- \(84
ightarrow 2\)
- \(96
ightarrow 3\)
- \(48
ightarrow -1\)
- \(36
ightarrow -2\)
- \(24
ightarrow -3\)
Solve for X in Q#4
For Q#4: \(\mu = 95\), \(\sigma = 8\), and \(Z = -3.25\).
Rearrange the formula to solve for \(X\):
Solve for standard deviation in Q#5
For Q#5: \(\mu = 75\), \(x = 85\), and \(Z = 2.89\).
Rearrange the formula to solve for \(\sigma\):
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Question 1
The z-score for 15 is:
Question 2
The z-score is:
Question 3
The standard normal curve has a mean of \(0\) and a standard deviation of \(1\). The corresponding z-scores for the labeled points on the horizontal axis are:
- \(24
ightarrow -3\)
- \(36
ightarrow -2\)
- \(48
ightarrow -1\)
- \(60
ightarrow 0\)
- \(72
ightarrow 1\)
- \(84
ightarrow 2\)
- \(96
ightarrow 3\)
Question 4
The data value \(X\) is:
Question 5
The standard deviation \(\sigma\) is: