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Answer :
Sure, I'd be happy to help with this!
### Step-by-step Solution
1. Finding the [tex]$z$[/tex]-score for a dog weighing 52 pounds:
The formula for finding the [tex]$z$[/tex]-score is:
[tex]\[
z = \frac{(X - \mu)}{\sigma}
\][/tex]
where [tex]\(X\)[/tex] is the dog's weight, [tex]\(\mu\)[/tex] is the mean weight, and [tex]\(\sigma\)[/tex] is the standard deviation.
- Given [tex]\(X = 52\)[/tex] pounds, [tex]\(\mu = 46\)[/tex] pounds, and [tex]\(\sigma = 6\)[/tex] pounds, we substitute these values into the formula:
[tex]\[
z = \frac{(52 - 46)}{6} = \frac{6}{6} = 1.0
\][/tex]
The [tex]$z$[/tex]-score for a dog weighing 52 pounds is 1.0.
2. Finding the weight of a dog with a [tex]$z$[/tex]-score of 1.37:
To find the weight from a [tex]$z$[/tex]-score, we can rearrange the [tex]$z$[/tex]-score formula to solve for [tex]\(X\)[/tex]:
[tex]\[
X = \mu + z\sigma
\][/tex]
- Given [tex]\(z = 1.37\)[/tex], [tex]\(\mu = 46\)[/tex], and [tex]\(\sigma = 6\)[/tex]:
[tex]\[
X = 46 + 1.37 \times 6 = 46 + 8.22 = 54.2
\][/tex]
The weight of the dog with a [tex]$z$[/tex]-score of 1.37 is 54.2 pounds.
3. Finding the weight of a dog with a [tex]$z$[/tex]-score of -1.37:
Again, using the formula to solve for [tex]\(X\)[/tex]:
[tex]\[
X = \mu + z\sigma
\][/tex]
- Given [tex]\(z = -1.37\)[/tex], [tex]\(\mu = 46\)[/tex], and [tex]\(\sigma = 6\)[/tex]:
[tex]\[
X = 46 + (-1.37 \times 6) = 46 - 8.22 = 37.8
\][/tex]
The weight of the dog with a [tex]$z$[/tex]-score of -1.37 is 37.8 pounds.
I hope this helps! Let me know if you have any other questions.
### Step-by-step Solution
1. Finding the [tex]$z$[/tex]-score for a dog weighing 52 pounds:
The formula for finding the [tex]$z$[/tex]-score is:
[tex]\[
z = \frac{(X - \mu)}{\sigma}
\][/tex]
where [tex]\(X\)[/tex] is the dog's weight, [tex]\(\mu\)[/tex] is the mean weight, and [tex]\(\sigma\)[/tex] is the standard deviation.
- Given [tex]\(X = 52\)[/tex] pounds, [tex]\(\mu = 46\)[/tex] pounds, and [tex]\(\sigma = 6\)[/tex] pounds, we substitute these values into the formula:
[tex]\[
z = \frac{(52 - 46)}{6} = \frac{6}{6} = 1.0
\][/tex]
The [tex]$z$[/tex]-score for a dog weighing 52 pounds is 1.0.
2. Finding the weight of a dog with a [tex]$z$[/tex]-score of 1.37:
To find the weight from a [tex]$z$[/tex]-score, we can rearrange the [tex]$z$[/tex]-score formula to solve for [tex]\(X\)[/tex]:
[tex]\[
X = \mu + z\sigma
\][/tex]
- Given [tex]\(z = 1.37\)[/tex], [tex]\(\mu = 46\)[/tex], and [tex]\(\sigma = 6\)[/tex]:
[tex]\[
X = 46 + 1.37 \times 6 = 46 + 8.22 = 54.2
\][/tex]
The weight of the dog with a [tex]$z$[/tex]-score of 1.37 is 54.2 pounds.
3. Finding the weight of a dog with a [tex]$z$[/tex]-score of -1.37:
Again, using the formula to solve for [tex]\(X\)[/tex]:
[tex]\[
X = \mu + z\sigma
\][/tex]
- Given [tex]\(z = -1.37\)[/tex], [tex]\(\mu = 46\)[/tex], and [tex]\(\sigma = 6\)[/tex]:
[tex]\[
X = 46 + (-1.37 \times 6) = 46 - 8.22 = 37.8
\][/tex]
The weight of the dog with a [tex]$z$[/tex]-score of -1.37 is 37.8 pounds.
I hope this helps! Let me know if you have any other questions.
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